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Bachelor Wirtschaftsinformatik mit Praxissemester

Fast facts

  • Department

    Informatik

  • Stand/version

    2018

  • Standard period of study (semester)

    7

  • ECTS

    180

Study plan

  • Compulsory elective modules 1. Semester

  • Compulsory elective modules 2. Semester

  • Compulsory elective modules 3. Semester

  • Compulsory elective modules 6. Semester

  • Compulsory elective modules 7. Semester

Module overview

1. Semester of study

Allgemeine BWL/Unternehmensführung
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    41321

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The aim of the course is to enable students to systematically describe, classify and solve analysis and decision-making problems in general business administration. Taking into account the cross-connections between the various functions and tasks of the company, the course focuses on teaching technical and methodological competence, which enables students to solve problems in the relevant sub-areas of the company (see below). It should be noted that the subject matter of the course is becoming increasingly complex due to diverse and drastic changes in the business environment (see, for example, the increasing emergence of international or internet-based competitive relationships and the changes in the framework conditions due to digitalization).

First, the general basic facts of business and the fundamentals of business administration and Business Studies are covered. The constitutive decisions (choice of location, legal form and possible mergers), which determine the framework conditions for further operational decisions, are then presented. The discussion of global corporate objectives and their manifestations in terms of the commercial principle is the subject of further explanations. Building on this, the services a company provides for people in a year are presented and how the company presents itself to the public with a corporate mission statement and quantitatively via the income statement, balance sheet, notes (annual financial statements) and other key figures.

Building on this, the operational production and utilization of services is discussed with the functional areas of procurement, production and marketing. The Porter value chain model is also discussed in this context. Finally, the areas of human resources management and finance as well as introductory questions on corporate management and corporate planning are discussed.

In terms of the above-mentioned professional and methodological skills, relevant methods for problem analysis, structuring and decision-making (e.g. portfolio techniques, decision trees and scoring models) are taught based on the important knowledge components of the functions and areas.

Contents

  • Understanding of "company"
  • Constitutive decisions (above all: choice of location, choice of legal form); definition of corporate goals and strategies
  • Fundamentals of the annual financial statements
  • Tasks and functions in the context of the operational value chain (in particular with regard to procurement, production, marketing)
  • Human resources and financial management
  • Basics of corporate management and corporate planning

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Lecture in seminar style, with blackboard and projection
  • Solving practical exercises in individual or team work

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

Neben den vorlesungsbegleitenden Unterlagen des Dozenten (Skript) basiert die Lehrveranstaltung auf den nachfolgden Fachbüchern (in der jeweils aktuellen Auflage):
  • Vahs, Schäfer-Kunz: Einführung in die Betriebswirtschaftslehre
  • Jung: Betriebswirtschaftslehre
  • Schierenbeck, et al.: Grundzüge der Betriebswirtschaftslehre
  • Wöhe et al.: Einführung in die Allgemeine Betriebswirtschaftslehre
  • Steinmann, Schreyögg: Management: Grundlagen der Unternehmensführung
  • Thommen, Achleitner: Allgemeine Betriebswirtschaftslehre

 

Analysis
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    41063

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Deepening knowledge of analysis with reference to its practical application for solving typical problems from computer science and business administration, confident handling in the selection of problem-specific solution methods and their application.

Technical and methodological competence:

  • Name and apply important mathematical principles, especially with regard to the calculation of limits and the derivation and integration of functions.
  • Creating and evaluating approximate solutions for functions that are difficult to calculate.
  • Solving mathematically indeterminate expressions.
  • Calculating extreme points by differentiating functions.
  • Applying different integration methods to solve differential equations.

Interdisciplinary methodological skills:

  • Describing the behavior and properties of technical and business systems using mathematical models (e.g. financial mathematics, differential equations)
  • .
  • Solving business management problems (e.g. extreme points of cost functions, differential equations) by calculating the corresponding mathematical models.
  • Transferring mathematical methods to other tasks.
  • Recognizing structures in problems, mapping to mathematical structures.

Contents

  • General basics (sets, operations, complete induction, )
  • Fequences and series (definition, calculation rules, limits, convergence, )
  • Functions (definition, composition, calculation rules, continuity, limits, )
  • Differential calculus (differential quotient, calculation rules, derivatives of special functions, determination of local extrema, de l'Hospital's rules, )
  • Integral calculus (partial integration, partial fraction decomposition, substitution, )
  • Taylor and power series (Taylor polynomials, residual element estimation, radius of convergence, )
  • Differential equations (1st order linear differential equation, homogeneous and inhomogeneous differential equation, )

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Exercise accompanying the lecture
  • immediate feedback and success monitoring

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

  • Bachelor's degree in Medical Informatics
  • Bachelor of Business Informatics

Literature

  • Vorlesungsskript Analysis (Hesseler, M.)

Ergänzende Literatur:

  • Schwarze, J.; Mathematik für Wirtschaftswissenschaftler , Band 0, 1 + 2, 11. Auflage, Verlag Neue Wirtschafts-Briefe GmbH, Herne/Berlin, 2000
  • Neunzert, H, u.a..; Analysis 1, Ein Lehr- und Arbeitsbuch für Studienanfänger , 3. Auflage, Springer-Verlag, Berlin u.a. 1996
  • Hoffmann, S.; Mathematische Grundlagen für Betriebswirte, mit Fragen und Antworten, Aufgaben und Lösungen , 6. überarbeitete Auflage, Verlag Neue Wirtschafts-Briefe GmbH, Herne/Berlin, 2002
  • Thomas, G. B., Weir, M. D., Hass, J.; "Basisbuch Analysis", 12., aktualisierte Auflage, Pearson Deutschland GmbH, München, 2013

Einführung in die Programmierung
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    41011

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    75 h

  • Self-study

    75 h


Learning outcomes/competences

After completing the course, students will have mastered the most important principles of object-oriented programming on a small scale and have a basic understanding of the structure and functioning of computers.

Technical and methodological competence:
You will acquire the formal competence to understand the principles, methods, concepts and notations of programming on a small scale, to classify them in different contexts and to use them in object-oriented programs. This also includes identifying the algorithmic core of a simple problem and designing an imperative algorithm.
They acquire basic analysis skills that enable them to implement simple object-oriented models in UML notation in the Java programming language. This competence also includes the ability to familiarize themselves independently with applications (such as development environments, learning platforms).
You have the implementation skills to develop and analyze object-oriented programs in Java.

Interdisciplinary methodological competence:
Graduates are familiar with historical developments in computer science. They are aware of the security problems associated with the use of information processing systems. They have key qualifications such as the ability to use new media. They have experience in solving application problems in a team.

Social skills:
Students acquire communicative competence in order to present their ideas and proposed solutions convincingly in writing or orally, even if their counterparts are not familiar with the computer science way of speaking and thinking.

Contents

  • Fundamental concepts of computer science
  • Procedures for the step-by-step development of programs
  • Elements of imperative programming: data types, control structures, operations
  • Elements of object-oriented programming: objects, classes, interfaces, inheritance, polymorphism
  • Description methods of object-oriented programming, e.g. UML

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Solving practical exercises in individual or team work
  • Processing programming tasks on the computer in individual or team work
  • Active, self-directed learning through internet-supported tasks, sample solutions and accompanying materials

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written written examination
  • study achievements during the semester (bonus points)

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

  • Bachelor of Business Informatics
  • Bachelor of Software and Systems Engineering (dual)
  • Bachelor of Computer Science
  • Bachelor's degree in Medical Informatics
  • Bachelor of Medical Informatics Dual
  • Bachelor of Computer Science Dual

Literature

  • H. Balzert, Java: Der Einstieg in die Programmierung, 4. Auflage, Springer Campus, 2013
  • H. Balzert, Java: Objektorientiert programmieren, 3. Auflage, Springer Campus, 2017
  • H. P. Gumm, M. Sommer, Grundlagen der Informatik: Programmierung, Algorithmen und Datenstrukturen, Oldenbourg, 2016
  • S. Goll, C. Heinisch, Java als erste Programmiersprache, 8. Auflage, Springer Vieweg, 2016
  • D. Ratz, J. Scheffler, D. Seese, J. Wiesenberger, Grundkurs Programmieren in Java, 7. Auflage, Hanser, 2014
  • C. Ullenboom, Java ist auch eine Insel, 12. Auflage, Galileo Press, 2016 (siehe auch http://openbook.galileocomputing.de/javainsel/)

Einführung in die WI 1
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    41311

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    30 h

  • Self-study

    45 h


Learning outcomes/competences

Students have an overview of how business functions and processes are supported and operated by information systems and certain types of application software. They understand the importance of business informatics as a central cross-sectional function and the job profiles and roles of business informatics specialists. They can describe and differentiate the function of systems, IT infrastructures, application software, apps and tools. Students will be able to classify and define basic business informatics terms. They have a deep understanding of how IT and software influence operational development as a support function and as an innovation function. They can explain how IT and software can contribute to harmonization, standardization and integration within companies. Students will understand the central processes of digitalization and virtualization and be able to differentiate between them.

Technical and methodological competence: students can

  • explain the terms sign, data, information and knowledge and explain their significance for operational processes,
  • explain the terms digitalization and virtualization and their significance for operational processes and innovation,explain and differentiate between the terms IT, information system, application, (standard) software, app and tool,describe and classify manual, semi-automatic and automatic process activities,describe the three basic technological trends and explain their impact,define and classify the key socio-economic digital trends,explain selected keywords and mega trends in digitalization (e.g. based on the Gartner Hypecycle),explain the basic concepts of information systems,
  • describe the architecture of an information system,
  • classify application software in the architecture of an information system,
  • classify application software into categories,
  • explain the typical characteristics of administration and scheduling systems, cross-sectional systems and management systems,
  • define and differentiate the terms and concepts of integration, standardization and harmonization,name application software types within the categories and describe their operational areas of application

Contents

  • Fundamentals of digital business
  • Functional areas and processes in companies
  • Professional profiles and roles of business IT specialists
  • Data, information and communication in companies
  • Application software in the company
  • Industry-specific application software
  • Integration of application software

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Exercise accompanying the lecture

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • Joint written examination (as part of the module)
  • semester-accompanying coursework (bonus points)

Requirements for the awarding of credit points

passed joint written examination (as part of the module)

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Abts, Dietmar/Mülder, Wilhelm (2017): Grundkurs Wirtschaftsinformatik: Eine kompakte und praxisorientierte Einführung, 9.,erw. und aktual. Aufl., Wiesbaden 2017.
  • Alpar, Paul/Alt, Rainer/Bensberg, Frank/Grob, Heinz Lothar/Weimann, Peter/Winter, Robert (2016): Anwendungsorientierte Wirtschaftsinformatik: Strategische Planung, Entwicklung und Nutzung von Informationssystemen, 8. Auflage, Wiesbaden 2016.
  • Clement, Reiner/Schreiber, Dirk (2010): Internet-Ökonomie: Grundlagen und Fallbeispiele der vernetzten Wirtschaft, Heidelberg 2010.
  • Gassmann, Oliver/Sutter, Philipp (2016): Digitale Transformation in Unternehmen gestalten: Geschäftsmodelle, Erfolgsfaktoren, Handlungsanweisungen, Fallstudien, München 2016.
  • Hansen, Hans Robert/Mendling, Jan/Neumann, Gustaf (2015): Wirtschaftsinformatik Grundlagen und Anwendungen, 11., völlig neu bearb. Aufl., Berlin 2015.
  • Heinemann, Gerrit (2016): Der neue Online-Handel: Geschäftsmodell und Kanalexzellenz im Digital Commerce, 7., vollständig überarb. Aufl., Wiesbaden 2016.
  • Keuper, Frank (2013): Digitalisierung und Innovation: Planung - Entstehung - Entwicklungsperspektiven, Wiesbaden 2013.
  • Laudon, Kenneth C./Laudon, Jane Price (2016): Management Information Systems: Managing the Digital Firm, 14. Aufl., Boston 2016.
  • Leimeister, Jan Marco (2015): Einführung in die Wirtschaftsinformatik, 12., vollst. neu überarb. und akt. Aufl., Berlin 2015.
  • Lemke, Claudia/Brenner, Walter (2015): Einführung in die Wirtschaftsinformatik: Band 1: Verstehen des digitalen Zeitalters, Berlin, Heidelberg 2015.
  • Lemke, Claudia/Brenner, Walter/Kirchner, Kathrin (2017): Einführung in die Wirtschaftsinformatik Band 2: Gestalten des digitalen Zeitalters, Berlin 2017.
  • Meier, Andreas/Stormer, Henrik (2012): eBusiness & eCommerce: Management der digitalen Wertschöpfungskette, 3. Aufl., Berlin, Heidelberg 2012.
  • Mertens, Peter/Bodendorf, Freimut/König, Wolfgang/Schumann, Matthias/Hess, Thomas/Buxmann, Peter (2017): Grundzüge der Wirtschaftsinformatik, 12., grundlegend überarb. Aufl., Berlin 2017.
  • Peters, Ralf (2010): Internet-Ökonomie, Berlin, Heidelberg 2010.
  • Raskino, Mark/Waller, Graham (2015): Digital to the Core, s.l. 2015.
  • Schwarzer, Bettina/Krcmar, Helmut (2014): Wirtschaftsinformatik: Grundlagen betrieblicher Informationssysteme, 5., überarb. Aufl., Stuttgart 2014.

Human Resource Management und Organisation
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    41322

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Fundamental knowledge of human resources management and organization in companies. Raising awareness of the complexity of business management tasks and practising business management perspectives in connection with personnel and organization.

Technical and methodological competence:

  • Human Resource Management (HRM)
    • Recognize HRM as a business function in the company and be able to assess the associated challenges
    • Get to know digital tools for HR work
    • Be able to assess and, in some cases, use central HR management tools in a way that is appropriate to the situation
  • Organization
    • Know the basics of designing company organizations
    • Identify corporate organization as a critical success factor for Business Studies
    • Systematically present and evaluate forms of organization and assess their significance for the professional field of business informatics
    • Apply selected organizational measures in a goal-oriented manner

Self-competence:

Practice independent forms of work such as carrying out HR research tasks on the Internet, as well as text indexing and the development of statements based on the teaching material in the subject area of HRM and organization

Social skills:

  • Recognize and understand differentiated role concepts of the players in HR and organizational work and be able to apply them in role plays (change agent, project manager, moderator, etc.)
  • Know and be able to apply typical professional communication patterns (job interviews, performance appraisals, dismissals, pay negotiations, group discussions, etc.)

Occupational field orientation:

Recognize the importance of effective HR and organizational concepts and measures for the successful implementation of business informatics-oriented strategies and be able to derive and implement appropriate actions in this regard

 

Contents

Part 1: Human Resource Management

  • Internal and external environment of HRM
  • Personnel-specific planning processes
  • Personnel marketing, personnel selection
  • Personnel development and working time management
  • Remuneration policy
  • Employee management

Part 2: Organization

  • Concepts and theoretical perspectives of organization
  • Decision-oriented organization theory: organizational parameters and evaluation criteria
  • Organizational structure decisions: Specialization, configuration, (de)centralization, coordination
  • Process and process organizational decisions
  • Interface management
  • Reorganizations
  • Techniques of organizational design

Teaching methods

  • seminar-style teaching
  • solving practical exercises in individual or team work
  • active, self-directed learning through tasks, sample solutions and accompanying materials

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Bergmann, R./Garrecht, M., Organisation und Projektmanagement, Heidelberg 2008
  • Dessler, G., Human Resource Management, 13. Ed., Global Edition, Essex 2013
  • Faix, A.: Organisationsgestaltung. Grundfragen organisatorischer Entscheidungsfindung, Aachen 2018
  • Holtbrügge, D.: Personalmanagement, 5. Aufl., Berlin 2013
  • Jung, H.: Personalwirtschaft, 9. Aufl., München 2011
  • Jorzik, H.: Human Resource Management; Skript 2014/2015 - bzw. semesteraktuelle Auflage
  • Scholz, Ch. Personalmanagement 2014, 6. Aufl., München 2014
  • Schulte-Zurhausen, M., Organisation, 6. Aufl., München 2014
  • Stock-Homburg, R., Personalmanagement, 3. Aufl., Wiesbaden 2013
  • Vahs, D.: Organisation, 8. Aufl., Stuttgart 2012

IT-Infrastruktur
  • PF
  • 2 SWS
  • 2 ECTS

  • Number

    43053

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    30 h

  • Self-study

    45 h


Learning outcomes/competences

 

Providing basic knowledge of the fundamental concepts and tasks of IT infrastructure. Theoretical knowledge of hardware structures and their most important parameters. Overview of the provision of IT infrastructure services and the influence of cloud computing on IT operational architectures. Consolidation of previously acquired specialist knowledge using practical exercises.

Technical and methodological competence:

  • Understanding of the basics of digital data processing
  • Knowledge of the architecture of computer systems
  • Ability to distinguish between different storage media and management methods
  • Design a classification of systems, architectures and networks
  • Overview of IT infrastructure issues and tasks in an operational context
  • Applying knowledge of operating systems and computer networks as the basis for a job in IT administration
  • Understanding technical developments in the area of IT operations
  • Evaluate the advantages and disadvantages of alternative infrastructure solutions for a given task from the perspective of IT controlling and IT governance

 

Contents

Basics of digital data processing
Switching mechanisms, Boolean expressions, technical realization, from transistor to chip

Design, structure and elements of computing systems
Structure of computing systems, CPU, instructions and data formats, mainboard, processor architectures, memory, I/O hardware, bus systems and peripherals

Networks
Data transmission, protocols and networks (ISO/OSI layer model), network technologies, wireless networks, Internet, network services

Operating systems
System software: operating systems, utility programs, translation programs and tools/helpers; structure and tasks of operating systems, processes, threads, scheduling

Data storage
Memory management, virtual memory, file systems, archiving, data organization

IT architecture key figures
Performance, storage requirements, latency, bandwidth, availability, robustness

IT system architectures and IT services
IT infrastructure services, virtualization, containerization, IaaS, cloud computing

IT infrastructure in practice
Tasks related to IT infrastructure in practice

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Solving practical exercises in individual or team work
  • The lecture is offered as a video

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written written examination
  • study achievements during the semester (bonus points)

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Tanenbaum, A. S., Austin, T.; Rechnerarchitektur; Pearson; 6. Auflage; 2014
  • Laudon K.,C.; Laudon J.P. Schoder, D.: Wirtschaftsinformatik. Eine Einführung. Pearson; Hallbergmoos, 3. Auflage; 2016

 

Lern- u. Arbeitstechniken
  • PF
  • 2 SWS
  • 2 ECTS

  • Number

    411031

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    30 h

  • Self-study

    45 h


Learning outcomes/competences

Interdisciplinary methodological competence:

  • The participants know professional standards and procedures in the field of learning and working techniques (including time and self-management, learning theory, communication and effective collaboration as well as creativity techniques).
  • The students can apply these across disciplines
  • .

Self-competence:

  • The participants are able to use learning methods, communication and presentation techniques, creativity and problem-solving techniques as well as methods of time and self-management profitably for themselves in their studies and work.

Social skills:

  • The participants know techniques for effective collaboration in groups.
  • Students know how to present content in groups.
  • Students are familiar with creativity and problem-solving techniques for groups.

Contents

The course includes modules on the following topics:

  • Learning techniques and learning types
  • Working techniques (literature research in the library)
  • Time and self-management
  • Motivation
  • Communication techniques and collaboration
  • Creativity and problem-solving techniques
  • Burnout
  • Basics of scientific work
  • Mentoring discussions (include questions about choosing a course of study, organizing studies, individual time and learning planning, dealing with difficult situations and preparing for internships)

Teaching methods

Seminar-style teaching with flipchart, smartboard or projection

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

Homework

Requirements for the awarding of credit points

  • Successful homework
  • Participation in at least 80% of the attendance dates
  • Participation in the mentoring program

Applicability of the module (in other degree programs)

  • Bachelor of Business Informatics
  • Bachelor of Software and Systems Engineering (dual)
  • Bachelor of Computer Science
  • Bachelor's degree in Medical Informatics
  • Bachelor of Medical Informatics Dual
  • Bachelor of Computer Science Dual

Literature

  • Friedrich Rost; Lern- und Arbeitstechniken für das Studium; Vs Verlag 6. Auflage 2010; ISBN-13: 978-3531172934
Begründung zur Teilnahmeverpflichtung

Die Studierenden sollen durch die Lehrveranstaltung in die Lage versetzt werden, verschiedene Lern-, Arbeits-, Kommunikations- und Selbstmanagementechniken in ihrem Studium und beruflichen Alltag anzuwenden. Das Erlernen dieser Kompetenzen erfordert durch ihre Natur sowohl eine intensive Zusammenarbeit mit und persönliche Anleitung durch die jeweiligen Dozent/-innen, als auch eine Vielzahl praktischer Arbeiten in der Gruppe unter aktiver Supervision durch die Dozent/-innen. Um diese Ziele zu erreichen, ist eine Mindestanwesenheitspflicht in dieser Lehrveranstaltung erforderlich.

 

Studium Generale
  • PF
  • 2 SWS
  • 2 ECTS

  • Number

    411033

  • Duration (semester)

    1


2. Semester of study

Algorithmen und Datenstrukturen
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    42012

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Students will have mastered selected algorithms and data structures after completing the lecture. They can analyze and qualitatively evaluate algorithms.

Technical and methodological competence:

You will acquire basic analytical skills to be able to evaluate, compare and explain algorithms and data structures and their properties. This competence also includes the ability to familiarize themselves independently with applications (such as APIs and development environments).

You have the implementation skills to transfer data structures and algorithms into object-oriented programs and to use predefined data structures and algorithms in libraries, such as the collections in Java, to solve problems.

You will acquire the formal competence to identify the core of a simple problem and to formulate and use suitable algorithms and data structures to solve it. They recognize the recursive core of a problem and can use a recursive problem-solving strategy. They have the competence to assign selected problems to known problem classes.

Contents

  • Design, analysis and runtime behavior of algorithms
  • Recursion
  • Search and sorting methods
  • Lists, trees, graphs, hash tables
  • Reference to modern class libraries such as Java Collections
  • Design methods, e.g. divide&conquer, backtracking
  • Algorithmic problem classes

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Exercise accompanying the lecture
  • Internship accompanying the lecture
  • Group work

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written written examination
  • study achievements during the semester (bonus points)

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

  • Bachelor of Business Informatics
  • Bachelor of Software and Systems Engineering (dual)
  • Bachelor of Computer Science
  • Bachelor's degree in Medical Informatics
  • Bachelor of Medical Informatics Dual
  • Bachelor of Computer Science Dual

Literature

  • H. Balzert, Lehrbuch Grundlagen der Informatik, Elsevier 2005
  • G. Saake, K. Sattler, Algorithmen und Datenstrukturen, dpunkt.verlag 2021

Angewandte Mikro- und Makroökonomie
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    43343

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

learning outcomes (learning outcomes) / competencies
After successful participation in the module courses, students are in the position:

Knowledge and understanding:
  • Identify characteristics of different market structures
  • Analyze company behavior as a function of given market structures and compare resulting market outcomes.
  • Represent basic concepts of national accounting.
  • Identify differences between long- and short-term macroeconomic phenomena
  • .
  • to understand and analyze basic macroeconomic modeling approaches.
  • to replicate macroeconomic impact chains.
Deployment, application and generation of knowledge:
  • apply their knowledge practically in the form of exercises, which are solved with the help of sample solutions and joint exercises.
  • Use microeconomic models to examine and discuss current competition policy and regulatory issues
  • to structure macroeconomic issues with the help of macroeconomic approaches.
  • to examine and evaluate general economic policy measures in the context of a macroeconomic analysis with regard to their mode of action.
  • To transfer current issues to the model approaches dealt with and then to discuss them.
Communication and cooperation:
  • Solve exercises and economic policy discussions within a team through cooperation.
  • Communicate the results to a group.
Scientific self-image / professionalism:
  • Apply the stringency and structure of economic models to solve economic problems.
  • to grasp the significance of market structures for the (strategic) behavior of companies and to interpret them for the individual business environment.
to grasp the significance of macroeconomic developments and to interpret them with regard to the individual business environment.

Contents

Contents
Applied Microeconomics

  • Theory of consumer choice
  • Production and cost theory
  • The equilibrium in competitive markets
  • Markets with restricted competition (monopoly, oligopoly)
Applied macroeconomics
  • Empirical macroeconomic facts
  • Basics of national accounts
  • A simple basic macroeconomic model
  • Money and inflation
  • Short-term analysis: The IS / LM model
  • Transition from short to medium term: The AS/AD model

Teaching methods

  • Lecture in seminar style, with blackboard writing and projection
  • Exercises

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper (100%)

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Mankiw, N., Taylor, M. P.; Grundzüge der Volkswirtschaftslehre; Schäffer Poeschel Verlag; Stuttgart; 6. Auflage; 2016.
  • Herrmann, M.; Arbeitsbuch Grundzüge der Volkswirtschaftslehre; Schäffer Poeschel Verlag; Stuttgart; 5. Auflage; 2016.
  • Mankiw, N.; Makroökonomik; Schäffer Poeschel Verlag; Stuttgart; 7. Auflage; 2017.
  • Pindyck, R. S., Rubinfeld, D. L.; Mikroökonomie; Pearson Studium; München; 9. Auflage; 2015.
  • Kortmann, W.; Mikroökonomik - Anwendungsbezogene Grundlagen; Physika; Heidelberg; 4. Auflage; 2006.
  • Bofinger, P.; Grundzüge der Volkswirtschaftslehre; Pearson Studium; München; 4. Auflage; 2015

Buchführung und Jahresabschluss
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    42331

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence:

  • Recognize the material effects of business transactions on external corporate accounting
  • .
  • Gain an understanding of the effectiveness/neutrality of business transactions within accounting.
  • Recognize the importance of financial statements for Business Studies.
  • Understanding the contents of annual financial statements and interpreting their main features.
  • Gain basic knowledge of accounting in accordance with the German Commercial Code (HGB) and the differences to accounting in accordance with IFRS in selected areas.
  • Applying the basic techniques of double-entry bookkeeping - as a system of external corporate accounting.
  • Solving simple problems in the preparation of annual financial statements based on the HGB and in some areas also according to IFRS.

Interdisciplinary methodological competence:

  • Recognize methodically related procedures in internal and external accounting
  • .

Self-competence:

  • Presentation of results from individual, partner and group work in plenary sessions
  • .
  • Independent consolidation of methods taught and independent monitoring of learning success based on given tasks.
  • Working on the lecture content independently through literature work.

Social skills:

  • Developing joint (partner and group work) solution strategies for new types of problems
  • .
  • Leading well-founded discussions on the advantages and disadvantages of various business management methods and concepts.

Contents

  • Basics of double-entry bookkeeping
  • Basics of annual financial statements under commercial and tax law, in particular
    a. The principles of proper accounting
    b. The structure of annual financial statements
    c. Recognition and measurement of assets and liabilities in the balance sheet
    d. The recognition of equity
    e. The profit and loss account
    f. The principles of the notes to the financial statements
    g. The basis of the management report
    h. The principles of balance sheet analysis
    i. The principles of the consolidated financial statements

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Lecture in seminar style, with blackboard and projection
  • Exercise accompanying the lecture

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Breidenbach, Karin; Währisch, Michael: Buchhaltung und Jahresabschluss kompakt, 4. Auflage 2017.
  • Buchholz, R.: Grundzüge des Jahresabschlusses nach HGB und IFRS, 10. Auflage; München 2010.
  • Coenenberg, A. G.; Haller, A.; Schultze, W.: Jahresabschluss und Jahresabschlussanalyse, 24. Aufl., Stuttgart (Schäffer-Poeschel) 2016
  • Coenenberg, A. G.; Haller, A.; Schultze, W.: Jahresabschluss und Jahresabschlussanalyse, Aufgaben und Lösungen, 16. Aufl., Stuttgart (Schäffer-Poeschel) 2016
  • Döring, Ulrich; Buchholz, Rainer: Buchhaltung und Jahresabschluss, 14. Auflage, Berlin 2015.
  • Deitermann, Manfred; Schmolke, Siegfried; Rückwart, Wolf-Dieter: Industrielles Rechnungswesen IKR, 45. Auflage, Braunschweig 2016.
  • Weber, Jürgen; Weißenberger, Barbara E.: Einführung in das Rechnungswesen: Bilanzierung und Kostenrechnung, 9. Auflage, Stuttgart 2015.

Datenbanken 1
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    43052

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

The foundation is laid by teaching technical and methodological competence, which includes knowledge of the
definition of a DBS, the schema architecture of a DBMS, the data dictionary, the syntax and semantics of SQL commands, the steps of modeling, the recovery mechanisms and the 5-level model. Students will also gain a deeper understanding of relational data models and their components (entities and relationships), relational algebra and its operators, the index concept, normal forms, views and stored procedures. A further deepening takes place through the application of SQL commands for setting up, storing and querying information (DDL, DML, DRL, DCL), the normalization of data and the handling of control tools for a database system (e.g. Oracle). The social skills of the participants are strengthened by working in small groups during the practical phases.

Contents

  1. Database concepts
  2. Relational model and relational operations
  3. SQL Data Definition Language
  4. SQL Data Manipulation Language
  5. SQL Data Retrieval Language
  6. SQL Functions
  7. SQL Views
  8. Transaction concept
  9. Constraints

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Processing programming tasks on the computer in individual or team work
  • Exercises or projects based on practical examples
  • Immediate feedback and success control in each case

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

  • Bachelor of Medical Informatics
  • Bachelor of Computer Science
  • Bachelor of Business Informatics
  • Bachelor of Software and Systems Engineering (dual)

Literature

  • Beighly, L., SQL von Kopf bis Fuß, O'Reilly, 2008.
  • Faeskorn-Woyke, H., Bertelsmeier, B., Riemer, P., Bauer, E., Datenbanksysteme - Theorie und Praxis, Pearson Studium, 2007.
  • Gennick, J., SQL kurz & gut, O'Reilly, 2. Auflage, 2007.
  • Kemper, A., Wimmer, M.; Übungsbuch Datenbanksysteme, Oldenbourg; aktualisierte Auflage, 2011, ISBN 978-3486708233.

 

Einführung in die WI 2
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    42312

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    30 h

  • Self-study

    45 h


Learning outcomes/competences

a) Digital markets and innovation

After successfully completing the lecture, students will be able to
  • describe terms in the context of platforms, networks and ecosystems in their own words,
  • Name characteristics of network markets and explain them with examples,explain opportunities for value creation through platforms using examples,differentiate between pipeline and platform business models,
  • identify network effects and characteristics of business ecosystems in exemplary situations and explain their effects,
  • propose strategies to mobilize the network based on an exemplary situation, and
  • critically question the implications of platforms and "winner takes all" dynamics
  • .
After successful participation in the exercise, students can:
  • define the constitutive features of a digital marketplace,
  • explain the electronic value creation process and its special features,explain the special characteristics of digital market participants, digital goods and digital market processes,describe the specific cost structures in markets for digital goods,describe digital business models,
  • catgorize the forms of interaction of electronic procurement,
  • describe digital procurement markets,
  • classify different e-procurement solutions,
  • identify the characteristics of e-marketing,
  • evaluate the use of e-customer relationship management and tools such as search engine optimization and search engine advertising,
  • describe digital contracting processes and
  • describe digital payment transaction processes
  • .

b) Selection and introduction of standard application software

Transfer of basic knowledge regarding the selection and introduction of (standard) software in a company and how this process is accompanied by project management. Knowledge of the software life cycle and various process models for software development and implementation as well as their application. Understanding of the structure and content of an as-is analysis, the use of reference models for weak point analysis, the creation of target concepts, the distinction between requirement and functional specifications, various forms of contract and software implementation methods and the customizing of software. Consolidation and practical application of previously acquired specialist knowledge using practical examples as part of a bonus project.

Technical and methodological competence:

  • Naming the advantages and disadvantages of different survey methods for as-is analysis
  • Differentiating the various stages of a software selection process and the respective requirements and documentation
  • Differentiating between functional and non-functional software requirements
  • Using different modeling methods to map different company views
  • Designing and planning test setups/software presentations and training measures
  • Transferring the knowledge gained and developing your own solutions as part of a bonus project

Interdisciplinary methodological competence:

  • Evaluating the importance of communication, conflict and team skills in software implementation projects
  • Sensitization to the social problems of software implementation
  • Increasing cooperation and teamwork skills in the bonus project

Professional field orientation:

  • Knowledge of the requirements of different job profiles in the standard software environment in relation to the introduction and operation of the software

Contents

a) Digital markets and innovation

Lecture:
  • Platform business models, network markets and digital ecosystems
  • Strategies for the mobilization of two-sided markets
  • Platform architecture and value creation
Exercise:
  • Internet economy
  • Digital value creation processes
  • E-Procurement
  • E-Marketing
  • E-Contracting
  • E-Payment
  • Blockchain
  • Cryptocurrencies

b) Selection and introduction of standard application software
  • Basics of process models and project management
  • Project initiation
  • Actual analysis (business processes)
  • Modeling / reference models
  • Target concept (process optimization)
  • Specification of requirements and specifications
  • Market survey and selection of standard software
  • Tests and benefit analysis
  • Contracts
  • Software implementation
  • Training
  • Operation / maintenance

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Exercise accompanying the lecture
  • Solving practical exercises in individual or team work
  • Processing programming tasks on the computer in individual or team work
  • Case studies

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • Joint written examination (as part of the module)
  • semester-accompanying coursework (bonus points)

Requirements for the awarding of credit points

passed joint written examination (as part of the module)

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

a) Digital Markets und Innovation

Vorlesung:
  • Parker, Choudary & Van Alstyne (2016): Platform Revolution. Norton & Company, New York.
  • Srinivasan (2023): Plattform-Geschäftsmodelle. Rahmenwerke, Konzepte und Design. Springer Nature, Singapur.
Übung:
  • Frick, D.; Gadatsch, A.; Kaufman, J. Lankes, B.; Quix, C.; Schmidt, A.; Schmitz, U. (2021): Data Science - Konzepte, Erfahrungen, Fallstudien und Praxis, Springer Vieweg 2021.
  • Kollmann, T. (2016): E-Business: Grundlagen elektronischer Geschäftsprozesse in der digitalen Wirtschaft, 6., überarb. Aufl., Wiesbaden 2016.
  • Schmitz, U. (2021): Grundkurs Electronic Business: Grundlagen, IT-Instrumente und Spezialgebiete, Springer Vieweg 2021.
  • Wirtz, B. (2018): Electronic Business, 6., akt. und überarb. Aufl., Wiesbaden 2018.

b) Auswahl und Einführung von Standardanwendungssoftware
  • Abts, D., Mülder, W.; Grundkurs Wirtschaftsinformatik; 7. Auflage; Vieweg; Wiesbaden; 2010
  • Alpar P.; Anwendungsorientierte Wirtschaftsinformatik; 5. Auflage; Wiesbaden; 2008
  • Grupp, B.; Das IT-Pflichtenheft zur optimalen Softwarebeschaffung; 2. Auflage; mitp; Bonn; 2003
  • Hansen, H. R., Neumann, G.; Wirtschaftsinformatik I; 8. Auflage; Fischer; Stuttgart; 2009
  • Heinrich, L.; Wirtschaftsinformatik; Einführung und Grundlegung; 4. Auflage; Springer; München; 2010
  • Laudon, K.C., Laudon, J. P., Schoder, D; Wirtschaftsinformatik, Eine Einführung; 2. Auflage; Pearson Studium; München; 2009
  • Schwarzer, B., Krcmar, H.; Wirtschaftsinformatik, Grundzüge der betrieblichen Datenverarbeitung; 4. Auflage; Schäffer-Poeschel; Stuttgart; 2010
  • Stahlknecht, P., Hasenkamp, U.; Einführung in die Wirtschaftsinformatik; 11. Auflage; Springer; Berlin; 2004

Lineare Algebra
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    42064

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence:

  • Students master basic mathematical concepts of computer science and their methods such as set theory, relations, propositional logic and graph theory.
  • Students who have completed the module have mastered basic and advanced concepts and methods from linear algebra and are able to apply these methods with reference to their practical applications to solve typical tasks in computer science and business administration.
  • The graduates demonstrate a confident handling of the concepts and methods of vector and matrix calculus and their geometric interpretation, setting up and solving linear systems of equations as well as dealing with straight lines and planes.

Interdisciplinary methodological skills and self-competence:

  • Module graduates are able to solve business management problems by setting up and calculating the corresponding mathematical models (e.g. by setting up and solving linear systems of equations). They demonstrate confidence in the appropriate selection of problem-specific solution methods and their application.
  • The students are able to recognize the mathematical structures they have learned in other areas of business informatics and to transfer the methods they have learned to these areas.

Social skills:

  • The participants understand the relevance of the content taught for their field of study and are able to communicate this relevance adequately.

Contents

The event includes the following topics:

  • Basics of mathematics for computer scientists: Introduction to set theory, cardinality of sets, relations, basics of propositional logic, graph theory
  • Vectors and vector calculus: notation and interpretation, operations on vectors and their properties (addition, scalar multiplication, scalar product, cross product), vector spaces, length of vectors, collinearity, linear dependence and independence, concepts of dimension and basis, angles between vectors
  • Lines and planes: Representation in linear algebra, applications, positional relationships between points / straight line / planes
  • Matrices: notation and interpretation, operations on matrices and their properties (transposing matrices, addition, scalar multiplication, matrix multiplication), Gaussian algorithm, determinants, inverse matrices and their calculation
  • Linear systems of equations: motivation and applications, matrix-vector form of linear systems of equations, Gaussian algorithm for solving linear systems of equations, homogeneous and inhomogeneous linear systems of equations and their relationships, rank of a matrix and relation to the solution set of linear systems of equations

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

  • Bachelor's degree in Medical Informatics
  • Bachelor of Business Informatics

Literature

  • Preuß, W., Wenisch, G., Lehr- und Übungsbuch Mathematik für Informatiker.
  • Lineare Algebra und Anwendungen, Fachbuchverlag Leipzig, 2002.
  • Teschl, G., Teschl. S., Mathematik für Informatiker - Band 1. Diskrete Mathematik und Lineare Algebra, Spinger, 2006 (Im Intranet der FH Dortmund ist eine elektronische Version verfügbar).

3. Semester of study

Grundlagen des Geschäftsprozessmanagements
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    46894

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Students are able to describe a typical business situation, such as order processing, in the form of an end-to-end process semantically and using selected methods and graphical description languages (e.g. event process chain, value chain, function tree, service tree, organization chart) from a technical perspective. The aspects of the chronological and logical sequence of activities as well as the capacitive, temporal and value-based evaluation of functions are included in the modeling. Students are able to recognize and justify organizational weaknesses and media and organizational breaks in a modeled process. Students know the importance of standardized procedures in processes and are familiar with a process model for process modelling and the implementation of a business process in an information system.

Technical and methodological skills:

  • Semantic differentiation of the basic concepts of business process management
  • Interpreting a case study on order processing
  • Identify the characteristics of processes
  • Classifying processes
  • Learning modeling methods
  • Applying modeling methods
  • Develop basic skills in using a tool for business process modeling and analysis (ARIS Business Architect)
  • .

Interdisciplinary methodological competence:

  • Transferring a business process into a semantic model using a graphical modeling language
  • Applying graphical modeling languages to business management issues
  • Describing various operational task areas in a process-oriented context
  • .

Occupational field orientation:

  • Know the different job profiles in the field of business process management (e.g. business architect, process owner, method expert)
  • .

Contents

  • Definitions and tasks of business process management
  • Case study on business process management
  • Properties of processes
  • Classification of processes
  • ARIS architecture as the basis for business process modeling and the methods used (decomposition of a business process into views)
  • Tasks and graphical modeling methods of the functional view
  • Tasks and graphical modeling methods of the performance view
  • Tasks and graphical modelling methods of the organizational view
  • Tasks and graphical modeling methods of the process view
  • Practical exercises with a GPM tool with examples from a case study on order processing to learn the modeling methods and the basics of process analysis
  • .

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Lecture in seminar style, with blackboard and projection
  • Exercise accompanying the lecture
  • Solving practical exercises in individual or team work
  • Processing programming tasks on the computer in individual or team work
  • active, self-directed learning through internet-based tasks, sample solutions and accompanying materials
  • active, self-directed learning through tasks, sample solutions and accompanying materials
  • exercises or projects based on practical examples
  • the lecture is offered as a video

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

  • written written examination
  • study achievements during the semester (bonus points)

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Gröner, U., Geschäftsprozessmanagement I, Online-Publikation, o. O. 2008, unter: http://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=6&category=181
  • Gröner, U., Geschäftsprozessmanagement II, Online-Publikation, o. O. 2008, unter: http://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=OND-00000-00000
  • Gröner, U., Fleige, M., Prozessorientierte Modellierung und Analyse mit dem ARIS-Tool, Berlin 2015

Ergänzende Literatur:

  • Seidlmeier, H., Prozessmodellierung mit ARIS, 4., überarbeitete Aufl., Braunschweig, Wiesbaden 2015

Kosten-, Erlös- und Ergebnisrechnung
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    43332

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence:

  • Recognizing and interpreting the consumption and creation of value within the scope of the business purpose
  • .
  • Gain an understanding of concepts of business accounting, planning, management and control.
  • Distinguish the advantages and disadvantages of different cost accounting systems.
  • Gain an insight into the latest developments in cost accounting.

    Interdisciplinary methodological competence:

    • Recognizing methodically related procedures in cost accounting and annual financial statements.
    • Understanding the interfaces between short-term and long-term corporate accounting.

    Self-competence:

    • Presentation of results from individual, partner and group work in plenary
    • Independent consolidation of methods taught and independent monitoring of learning success based on given tasks
    • Working on the lecture content independently through literature work

    Social skills:

    • Developing joint (partner and group work) solution strategies for new types of problems
    • Leading well-founded discussions on the advantages and disadvantages of various business management methods and concepts

Contents

  • Introduction to the basics of cost accounting
  • Cost element and cost center accounting
  • Cost unit and profit and loss accounting
  • Cost accounting systems
  • Partial cost and contribution margin accounting
  • Planned cost accounting
  • Further developments in cost accounting (supplementary cost management tools)

Teaching methods

  • Lecture in interaction with the students, with blackboard writing and projection
  • Lecture in seminar style, with blackboard and projection
  • Exercise accompanying the lecture

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written exam paper

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Business Informatics

Literature

  • Coenenberg, Adolf Gerhard; Fischer, Thomas M.; Günther, Thomas: Kostenrechnung und Kostenanalyse, 7. Auflage, Stuttgart 2009.
  • Friedl, B.: Kostenrechnung. Grundlagen, Teilrechnungen und Systeme der Kostenrechnung, 2. Aufl., München, Wien 2010
  • Friedl, Gunther; Hofmann, Christian; Pedell, Burkhard: Kostenrechnung. Eine entscheidungsorientierte Einführung, 3. Auflage, München 2017
  • Haberstock, Lothar; Breithecker, Volker: Kostenrechnung I. Einführung, 13. Auflage, Berlin 2008.
  • Jandt, Jürgen: Trainingsfälle Kostenrechnung , 2. Auflage, Herne, Berlin 2006.
  • Joos, Thomas: Controlling, Kostenrechnung und Kostenmanagement, 5. Aufl., Springer Gabler 2014
  • Jórasz, William: Kosten- und Leistungsrechnung. Lehrbuch mit Aufgaben und Lösungen, 5. Aufl., Stuttgart 2009
  • Olfert, Klaus: Kostenrechnung, 16. Auflage, Herne 2010.
  • Scheld, Guido: Kostenrechnung in Industrieunternehmen, Band 1 bis 4, diverse Auflagen, ESV Erich Schmidt Verlag, Berlin 2017

Programmierkurs
  • PF
  • 4 SWS
  • 5 ECTS

  • Number

    43024

  • Language(s)

    de

  • Duration (semester)

    1

  • Contact time

    60 h

  • Self-study

    90 h


Learning outcomes/competences

Technical and methodological competence:
  • Professional development of efficient programs
  • Problem-oriented application of the concepts of object-oriented programming
  • Interdisciplinary methodological competence:

    • Application of programming techniques in the implementation of commercial, technical and multimedia applications

    Social skills:

    • Developing, communicating and presenting programs and their implementation
    • Cooperative development of tasks in the lecture

    Contents

    • In-depth study of object-oriented programming in Java
    • Use of collections
    • Handling errors and exceptions via exceptions
    • Input and output (data streams, working with files)
    • Programming graphical user interfaces (GUI)
    • Concurrent programming (threads)
    • Version management

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Internship to accompany the lecture
    • Processing programming tasks on the computer in individual or team work
    • Inverted teaching (inverted classroom)
    • E-learning
    • Blended learning
    • Screencasts
    • Project-oriented internship in teamwork

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Medical Informatics
    • Bachelor of Computer Science
    • Bachelor of Business Informatics

    Literature

    • Abts D.; Grundkurs JAVA; Springer Vieweg; 10. Auflage; 2018
    • Goll J., Heinisch C.; Java als erste Programmiersprache; Springer Vieweg; 8. Auflage; 2016
    • Ratz D., Scheffler J., Seese D., Wiesenberger J.; Grundkurs Programmieren in Java; 7. Auflage; 2014
    • Epple A.; JavaFX 8: Grundlagen und fortgeschrittene Techniken; 2015

     

    Seminar - Methodik
    • PF
    • 2 SWS
    • 2 ECTS

    • Number

      451811

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      30 h

    • Self-study

      45 h


    Learning outcomes/competences

    The skills acquired depend on the chosen methodological focus of the seminars. After attending the course, students will be able to:

    Technical and methodological competence:

    • apply the methodological skills corresponding to the focus of the seminar in their studies and work

    Interdisciplinary methodological skills:

    • apply the methods learned during the course to an interdisciplinary topic and present it to fellow students in an understandable way

    Self-competence:

    • independently able to structure, develop and create scientific texts and presentations and to present these results
    • independently able to research and evaluate technical-scientific content

    Social skills:

    • Working in groups and interacting within groups
    • Presenting and defending content in groups

    As an alternative to this seminar, students can take a "Studium Generale" course, which expands their methodological skills

    .

    Contents

    The seminars include topics that expand students' interdisciplinary scientific and methodological skills. The topics are offered each semester with new, up-to-date content by all professors and are offered to students in the university's electronic information service (web) (https://fh.do/inf/seminare). Examples of courses are Presentation techniques, introduction to scientific work, planning and conducting data surveys.

    Alternatively, a methodologically oriented course can be taken in the "Studium Generale" in the scope of 2 SWS. The list of selectable courses can be found in the university's electronic information service (https://fh.do/inf/generale).

    Teaching methods

    Seminar

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    Presentation

    Requirements for the awarding of credit points

    Regular participation in at least 2/3 of the attendance dates

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Medical Informatics

    Literature

    Literatur muss vom Studierenden selbst ermittelt werden.

    Übergreifend:

    • Balzert, H.; Schröder, M. und Schäfer, C.; Wissenschaftliches Arbeiten; W3l; Witten; 2. Aufl.; 2011

     

    Begründung zur Notwendigkeit der Teilnahmepflicht:

    Es handelt sich um eine zu Exkursionen, Sprachkursen, Praktika und praktische Übungen vergleichbare Lehrveranstaltung mit in der Regel maximal 20 Teilnehmern. Durch eine regelmäßige Teilnahme werden die Fach- und Methodenkompetenzen der Studierenden in der Einübung des wissenschaftlichen Diskurses in Gruppenarbeit mit anderen Studierenden und im Dialog mit dem Dozenten erarbeitet und gefestigt. Eine Reflektion der Kompetenzen und damit der Lernziele ist selbstständig nicht ausreichend möglich. Nur ein geringer Anteil der Veranstaltung bezieht sich auf die selbstständige Einarbeitung in die fachlichen Inhalte und die Vorbereitung auf den wissenschaftlichen Diskurs, der größere Anteil bezieht sich auf die gemeinschaftliche Erarbeitung und Reflektion der Kompetenzen, sodass eine regelmäßige Teilnahme an mindestens 2/3 der Präsenzterminen für das Erreichen der Lernziele gegeben ist.

    Softwaretechnik 1
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      43051

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Introduction to software engineering project implementation with a special focus on the methods of requirements engineering and object-oriented analysis (OOA) using the Unified Modeling Language.

    Technical and methodological competence:

    • Overview of procedure and process models of software development
    • Name and apply various requirements engineering methods
      • Differentiate, specify and formulate user and system requirements
      • Verifying and validating requirements
    • Knowing and using methods, languages and tools for GUI prototyping
    • Describe the methodical approach in object-oriented analysis
    • Know and use the relevant UML description tools in the context of OOA
      • UML use case diagram
      • UML package diagram
      • UML class diagram
      • UML activity diagram
      • UML sequence diagram
      • UML communication diagram
      • UML state diagram

    Interdisciplinary methodological competence:

    • Modeling the static and dynamic aspects of an OOA model for an object-oriented software system to be developed
    • Object-oriented specification of software systems using the Unified Modeling Language (UML)
    • Creation of a technical concept or product model for a software system
    • Recognizing contradictions, incompleteness, inconsistencies

    Social skills:

    • Systematically analyze problems of medium complexity in a team
    • Develop a requirements specification in a cooperative and collaborative team
    • Specify an OOA model for a software system in a cooperative and collaborative team

    Contents

    • General basics of software engineering (motivation, definitions, goals,...)
    • Fundamental terms, phases, activities and procedures in the context of requirements engineering
    • Evaluation techniques
    • Change management
    • Fundamental terms, methods and procedures in the context of object-oriented analysis (OOA)
    • Methods and notations of object-oriented analysis (OOA)
    • Object-oriented analysis with UML (e.g. use cases, packages, activity diagram, class diagram, state diagram, scenario)
    • Analysis patterns, static/dynamic concepts and sample applications
    • Checklists for the OOA model
    • Components and contents of the OOA documentation

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Internship accompanying the lecture
    • Processing programming tasks on the computer in individual or team work
    • project work accompanying the lecture with final presentation
    • Exercises or projects based on practical examples
    • concluding presentation

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    Project work with oral examination

    Requirements for the awarding of credit points

    Successful project work

    Applicability of the module (in other degree programs)

    • Bachelor of Medical Informatics
    • Bachelor of Computer Science
    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)

    Literature

    • Balzert, H. (2005): Lehrbuch der Objektmodellierung (2. Aufl.), Heidelberg: Spektrum Akademischer Verlag.
    • Balzert, H. (2009): Lehrbuch der Softwaretechnik - Basiskonzepte und Requirements Engineering (3. Aufl.), Heidelberg: Spektrum Akademischer Verlag.
    • Ludewig, J.; Lichter, H. (2013): Software Engineering - Grundlagen, Menschen, Prozesse, Techniken, 3. korrigierte Auflage, Heidelberg: dpunkt-Verlag.
    • Oestereich, B., Scheithauer, A. (2013): Analyse und Design mit UML 2.5, 11. Auflage, München: Oldenbourg Verlag.
    • OMG (2017): UML Specification Version 2.5.1, http://www.omg.org/spec/UML/2.5.1/PDF.
    • Pichler, R. (2008): Scrum, Heidelberg: dpunkt-Verlag.
    • Pohl, K., Rupp, C. (2015): Basiswissen Requirements Engineering, 4. überarbeitete Auflage, Heidelberg: dpunkt-Verlag.
    • Vollmer, G. (2017): Mobile App Engineering, Heidelberg: dpunkt-Verlag.
    • Vollmer, G. (2018): Unterlagen zur Lehrveranstaltung "Softwaretechnik 1".
    • Sommerville, I. (2012): Software Engineering, 9. Auflage, München: Pearson Studium.

    Statistik
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      42073

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • Acquisition of methodological principles of descriptive and inferential statistics
    • Describing essential structures in data by selecting suitable descriptive means
    • Converting problems into random variables and suitable distribution assumptions
    • Drawing inferences from samples to populations using parameter and interval estimation
    • Formulation of test problems and independent implementation of hypothesis tests
    • First experience with the computer-aided analysis of data

    Interdisciplinary methodological competence:

    • Supporting decision-making processes through descriptive data analysis and statistically sound statements
    • Transferring estimation and test procedures to problems in computer science
    • Applying statistical methods in connection with the evaluation of databases
    • Simulation of stochastic processes with the help of theoretical distributions
    • Derivation of forecasts using statistical estimation methods

    Contents

    • Empirical frequency distributions and graphical representations
    • Location measures, measures of dispersion and box plots
    • Measures of correlation and exploratory regression
    • Concept of probability, random events, Laplace model
    • Combinatorics
    • Conditional probability, independence of events, Bayes' theorem
    • Distribution and parameters of discrete random variables
    • Equal distribution, binomial distribution, hypergeometric distribution
    • Distribution and parameters of continuous random variables
    • Equal distribution, normal distribution, central limit theorem
    • Point estimators and their properties
    • Confidence intervals for expected value and proportion value
    • Testing hypotheses, binomial test, Gaussian test, t-test
    • Independent computer-aided analysis of data sets, e.g. in Excel. Python or R

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work
    • Active, self-directed learning through internet-supported tasks, sample solutions and accompanying materials

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Medical Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor of Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science

    Literature

    • Fahrmeir et al.; Statistik: Der Weg zur Datenanalyse; Springer; Berlin Heidelberg; 8. Auflage; 2016

    Studium Generale
    • PF
    • 2 SWS
    • 2 ECTS

    • Number

      451815

    • Duration (semester)

      1


    Technisches Englisch
    • PF
    • 2 SWS
    • 2 ECTS

    • Number

      41102

    • Language(s)

      en

    • Duration (semester)

      1

    • Contact time

      30 h

    • Self-study

      45 h


    Learning outcomes/competences

    After successful completion of the module, students will be able to:
    1. Present technical content correctly and comprehensibly in English
    2. .
    3. Use subject-specific vocabulary from IT and technology with confidence.
    4. Structure presentations logically and convey technical information in a target group-oriented way.
    5. Participate actively and constructively in technical discussions in English
    6. .
    7. Perform academic work and presentations in English (e.g. citing and using sources).
     

    Contents

    1. Basics of technical English:
      • Introduction to technical vocabulary
      • .
      • Description of technical objects and processes.
    2. Presentation techniques:
      • Structuring presentations (introduction, main part, conclusion)
      • .
      • Use of visual aids (diagrams, tables, images).
      • Rhetorical devices and presentation phrases.
    3. Scientific work:
      • Correct source references and citation techniques
      • .
      • Summary of technical content in a precise form.
    4. Discussion techniques:
      • Asking questions, giving feedback and arguing in discussions
      • .
    5. Practical application:
      • Semester-accompanying presentations on technical IT topics.

    Teaching methods

    • Seminar-style teaching in English
    • .
    • Practical exercises:
      • Oral and written exercises to describe technical content
      • .
      • Discussions and role plays on current IT topics.
    • Presentation workshops: Preparation and delivery of presentations.
    • Independent research and academic work.

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    R ("Unit")

    Requirements for the awarding of credit points

    • Passed presentation (10-15 minutes) on a technical topic during the semester, followed by a Q&A session.
    • Attendance and active participation in at least 9 courses.

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual

    Literature

    • A1:
      "Fairway. A1. Lehr- und Arbeitsbuch"; Herbert Puchta, Klett Verlag, 2005, ISBN-10: 3125014603
    • A2, B1, B2:
      Williams, E., Kleinschroth, R., Courtney, B. (2018). "Matters Technik - IT Matters 3rd Edition: B1/B2 - Englisch für IT-Berufe". Cornelsen Verlag. ISBN-13: 978-3-06-451522-2 (E-Book: ISBN 978 – 3 –06-451523 – 9)

    4. Semester of study

    DV-Recht
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      44381

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • Recognize legal issues and problems that arise in connection with the use of information and communication technology
    • .
    • Reflecting on the legal aspects of electronic data processing with the aim of avoiding legal conflicts or resolving them in the interests of the company.
    • Self-competence:

      • Develop specific case solutions within the given time frame
      • .
      • Identify legal problem areas in the field of information technology independently.

      Social skills:

      • Developing and presenting a subject-specific case in groups or plenary sessions
      • .

    Contents

    Information and communication technology has long been an integral part of economy and society. The subject, known by the umbrella term IT law, familiarizes students with the most important legal issues relating to electronic data processing, including Internet law. One focus is on contract law aspects, which are supplemented by the special features of electronic business transactions. Other blocks include copyright protection under the new Copyright Act and the main features of data protection law. The respective topic blocks are supplemented in the exercises by practical application based on a large number of cases.

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Computerrecht, Beck-Texte im dtv, 11. Auf. 2014 (München)
    • Heise u.a. IT-Recht, W3I-Verlag (2010)
    • Foerster/Pahl, Handbuch des IT-Rechts, 2011 (München)
    • Jahnel u.a., Informatikrecht , 3. Aufl. 2012 (Berlin)
    • Köhler/Arndt, Recht des Internet , 7. Aufl. 2011 (Heidelberg)

    ERP 1
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      46828

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Providing basic knowledge about the importance and development of standard software and raising awareness of the associated problem areas. Theoretical knowledge about types of adaptations to standard software and their practical implementation on a specific ERP system. Consolidation and practical application of previously acquired specialist knowledge using practical examples.

    Technical and methodological competence:

    • Distinguishing between standard and customized software
    • .
    • Naming the advantages and disadvantages of standard software.
    • Differentiate between the various customization options of standard software and evaluate the respective consequences.
    • Assess the quality and complexity of business processes with regard to correctness,
      efficiency and completeness in integrated systems.
    • Designing and implementing functional enhancements to standard software.
    • Social skills:

      • Evaluate the importance of communication, conflict and teamwork skills in implementation and customization projects.
      • Sensitize for the social problems of an ERP implementation.

      Professional field orientation:

      • Know the requirements of different job profiles in the ERP environment (esp. sales, consulting, project management, application development)

    Contents

    • General principles (definition of terms, historical development, )
    • Standardization concept (classification and differentiation from in-house development, degree of coverage, )
    • Integration aspects (technical and organizational integration, examples and consequences, )
    • Business management components (financial accounting, HR, logistics, production, )
    • Selection process (market overview and breakdown, selection criteria, decision-making process, )
    • Implementation of an ERP system (project approach, implementation strategies, procedures)
    • Technical basics (system structure, hardware platforms and supported databases, )
    • Installation, maintenance and operation of an ERP solution
    • Customizations to standard software (types of customizations, their delimitation and consequences, )
    • Integrated development environments and programming languages
    • Inhouse developments (functional expansion of an ERP system in practical exercises based on a mini-project)

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work
    • Case studies

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Skript zur Vorlesung (Hesseler, M.)
    • Hesseler, M.; Görtz, M.; Basiswissen ERP-Systeme ; w3l-Verlag; Bochum; 2007
    • Ergänzende Literaturempfehlungen (nicht zwingend erforderlich):
      • Allweyer, T.; Geschäftsprozessmanagement ; w3l-Verlag; Bochum; 2005
      • Hesseler, M. und Rösel, C.; ERP-Übungsbuch: Entwicklung einer einfachen Fuhrpakrverwaltung in Microsoft Dynamics NAV ; Books on Demand; Norderstedt; 2010
      • Hesseler, M. und Görtz, M.; ERP-Systeme im Einsatz ; w3l-Verlag; Herdecke; 2009
      • Luszczak, A.; "Microsoft Dynamics NAV 2009 - Grundlagen"; Microsoft Press Deutschland; Unterschleißheim; 2009

     

    Einfluss der Digitalisierung auf Unternehmensorganisation u. Change Management
    • PF
    • 4 SWS
    • 2 ECTS

    • Number

      44492

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      30 h

    • Self-study

      45 h


    Learning outcomes/competences

    After successfully completing the module, students will be able to

    • describe key terms in the context of digitalization, organization and change management,
    • explain key digital technologies and their effects on organizations using examples,give well-founded recommendations for action in digital contexts with regard to organizational design using theoretical concepts and models,to develop ideas and concepts for supporting change on the basis of models of corporate culture, change management and technology acceptance,discuss proposals and arguments in teamwork with other students,
    • present any results concisely and comprehensibly, for example on a PowerPoint slide and
    • demonstrate a critical approach to their own results and the limits of their own elaboration
    • .

    Contents

    Digitization:
    • Artificial intelligence
    • Digital networking

    Corporate organization:
    • Influence of digitalization on the process organization
    • Effects of digitization on the organizational structure
    • Organizational design to strengthen innovation
    • The role of the IT organization in digital change

    Change management:
    • Models of change management
    • Individual perspectives on digital change
    • Meaning, design and impact of organizational culture

    Teaching methods

    • Seminar-style lecture including work on short case studies
    • Quiz formats that can be used voluntarily during the semester for independent repetition of content and for regular feedback on content understanding
    • Optional coursework during the semester for a maximum of three bonus points, which are added to the written exam

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    Written exam (60 minutes) and an optional coursework during the semester for a maximum of three bonus points (see above)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    Ausführliche Hinweise zur verwendeten Literatur werden in der ersten Veranstaltung gegeben.

    Seminar - Inhalt
    • PF
    • 2 SWS
    • 2 ECTS

    • Number

      45182

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      30 h

    • Self-study

      45 h


    Learning outcomes/competences

    The skills acquired depend on the chosen focus of the seminars. After attending the course, students will be able to:

    Technical and methodological skills:

    • apply the content-related skills corresponding to the focus of the seminar in their studies and profession
    • use scientific methods to prepare a presentation on the main topic. They can research, evaluate, structure, document and present
    • .
    • write a scientific term paper

    Self-competence:

    • independently able to structure, develop and create scientific texts and presentations and to present these results
    • independently able to research and evaluate technical-scientific content

    Social skills:

    • Working in groups and interacting within groups
    • Presenting and defending content in groups

    Professional field orientation:

    • to develop content corresponding to the occupational field

    Contents

    The seminars include topics that expand students' specialist academic skills. Students prepare a presentation on a selected special topic in business administration, computer science and/or business informatics and present the content. The topics are offered each semester with new, up-to-date content by all professors and lecturers and are offered to students in the university's electronic information service (web) (https://fh.do/inf/seminare). Examples of courses are Modern Supply Chain Management for Information Logistics, Business Simulation and Social Networks. The professional orientation of the seminars is strengthened by the use of lecturers from Business Studies with special qualifications in the subjects.

    Teaching methods

    Seminar

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    Presentation

    Requirements for the awarding of credit points

    • successful presentation
    • regular participation in at least 2/3 of the attendance dates

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Medical Informatics

    Literature

    Literatur muss vom Studierenden selbst ermittelt werden.

    Übergreifend:

    • Balzert, H.; Schröder, M. und Schäfer, C.; Wissenschaftliches Arbeiten; W3l; Witten; 2. Aufl.; 2011

     

    Begründung zur Notwendigkeit der Teilnahmepflicht:

    Es handelt sich um eine zu Exkursionen, Sprachkursen, Praktika und praktische Übungen vergleichbare Lehrveranstaltung mit in der Regel maximal 20 Teilnehmern. Durch eine regelmäßige Teilnahme werden die Fach- und Methodenkompetenzen der Studierenden in der Einübung des wissenschaftlichen Diskurses in Gruppenarbeit mit anderen Studierenden und im Dialog mit dem Dozenten erarbeitet und gefestigt. Eine Reflektion der Kompetenzen und damit der Lernziele ist selbstständig nicht ausreichend möglich. Nur ein geringer Anteil der Veranstaltung bezieht sich auf die selbstständige Einarbeitung in die fachlichen Inhalte und die Vorbereitung auf den wissenschaftlichen Diskurs, der größere Anteil bezieht sich auf die gemeinschaftliche Erarbeitung und Reflektion der Kompetenzen, sodass eine regelmäßige Teilnahme an mindestens 2/3 der Präsenzterminen für das Erreichen der Lernziele gegeben ist.

    Softwaretechnik 2
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      44121

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Transfer of knowledge about the design and architecture of software as an essential pillar of software engineering

    Technical and methodological competence:

    • Understanding the concepts of object-oriented design
    • Design and documentation of applications with UML
    • Understand the principles, patterns and aspects of software architecture
    • Defining, documenting and evaluating architectures
    • Describing the architecture and design process
    • Describing and classifying modern software techniques

    Interdisciplinary methodological competence:

    • Thinking in systems
    • Designing and documenting target systems
    • Process-oriented approach

    Social skills:

    • Working in small teams
    • Results-oriented group work

     

    Contents

    • Object-oriented design
      - Software design with the UML
      - Design principles
      - Design patterns
      - Interface design (including linking technical concepts to relational databases)
      - Aspects (error handling, parameterization/configuration, logging, internationalization, multi-client capability)
    • Software architecture
      - Views and perspectives
      - Architecture principles
      - Architecture patterns
    • Architecture and design process
      - Decision-making and risk management
      - Process models
    • Classification of modern software techniques
      - Component-based software development (CBD)
      - Model Driven Architecture (MDA)
      - Service-oriented architectures (SOA)
      - Aspect-oriented programming (AOP)

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual
    • Bachelor of Computer Science Dual

    Literature

    • Kecher, Christ: UML 2.5 - Das umfassende Handbuch, Rheinwerk Computing, 2015
    • Starke, Gernot: Effektive Software-Architekturen - Ein praktischer Leitfaden, Hanser, 8. Auflage 2018
    • Starke, Gernot; Hruschka, Peter; ARC42: Pragmatische Hilfe für Softwarearchitekten, Hansa, 2015

     

    Web-Technologien
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      46898

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    This module provides students with an overview of the most important technologies used today to create web applications. After completing the course, they will have mastered the central principles and concepts on which modern web architectures are based.

    Technical and methodological competence:

    • Completers of the module will be able to name the central basic principles of the WWW and classify them in the context of web applications
    • .
    • They acquire the professional competence to differentiate between client-side and server-side web development techniques. They can also name and use important client- and server-side technologies for the creation of web applications.
    • Students recognize basic architectural patterns of web applications and can model them. They can name the inherent technology-independent structural features of web applications and transfer them to specific technologies.

      Interdisciplinary methodological competence:

      • The participants have mastered the analysis of a comprehensive requirement and can break it down into sub-requirements. They have experience of implementing partial requirements over several weeks as part of an overall project in a team.
      • Students can describe and categorize architectures of software systems.

        Social skills:

        • The participants develop and implement solutions cooperatively in a team
        • .
        • They are also able to explain and discuss their ideas and solutions.
        • Professional field orientation:

          • Students acquire knowledge of typical tasks in web development and the application of specific web technologies.
          • In addition, they gain experience in the use of essential software development tools, such as development environments or build management tools.

    Contents

    The lecture covers the following topics:

    • Detailed knowledge of the structure of websites with HTML and CSS
    • Server-side technologies for the development of web applications (e.g. with Java, JavaScript)
    • Basic knowledge of web architectures based on the MVC pattern
    • Introduction to web services (e.g. REST)
    • Client-side technologies for the development of web applications (e.g. JavaScript)
    • Fundamental concepts and techniques in the browser (e.g. DOM, AJAX)
    • Basic knowledge of responsive web design

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Internship accompanying the lecture
    • Processing programming tasks on the computer in individual or team work
    • Group work
    • Active, self-directed learning through internet-supported tasks, sample solutions and accompanying materials
    • Inverted teaching (inverted classroom)
    • E-learning
    • Blended learning
    • Just-in-time teaching
    • Use of learning games
    • Screencasts
    • Project-oriented internship in teamwork

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual
    • Bachelor of Medical Informatics Dual

    Literature

    • Wolf J.; HTML5 und CSS3: Das umfassende Handbuch; Rheinwerk Computing; 4. Auflage; 2021
    • Bühler P., Schlaich P., Sinner D.; HTML5 und CSS3: Semantik - Design- Responsive Layouts; Springer Vieweg; 2017
    • Simpson K.; Buchreihe "You Don't Know JS" (6 Bände); O'Reilly; 2015
    • Haverbeke M.; JavaScript: richtig gut programmieren lernen; dpunkt.verlag; 2020, 2. Auflage
    • Springer S.; Node.js: Das umfassende Handbuch; Rheinwerk Computing; 4. Auflage, 2021
    • Tilkov S., Eigenbrodt M., Schreier S., Wolf O.; REST und HTTP; dpunkt.verlag; 3. Auflage; 2015
    • Balzert H.; Lehrbuch der Softwaretechnik. Entwurf, Implementierung, Installation und Betrieb. Spektrum Akademischer Verlag; 3. Auflage; 2011
    • Tanenbaum A.; Computernetzwerke; Pearson Studium; 3. Auflage; 2000

     

    Angewandte Unternehmensführung
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46893

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students have developed a conceptual understanding of entrepreneurial environment and corporate systems and their central interdependencies. They are able to deal constructively and critically with management approaches in theory and practice, develop a conceptual understanding of entrepreneurial interrelationships and the application of strategic instruments and management concepts as well as the process of strategic management.
    Decision-making in the team, presentation in the team and to other teams/seminar leaders and decision-making under time pressure and information uncertainty are practiced. Students experience the connection between entrepreneurial thinking, planning and action. In a business game, students act as the board of directors of a company and are accountable for their decisions and results. The necessary handling of information and its use for decision-making, even under time pressure, is practiced. In addition, the simulation game promotes teamwork in a group.

    Technical and methodological skills:

    • The focus is on teaching and applying business management methods and tools. These will promote students' ability to make business decisions, their understanding of the strategic management process, the transfer of business management know-how to specific operational issues using the example of a business game, and the processing of external and internal information for business decisions. The following are also trained:
    • Concentrating on the essentials and the big picture when managing a company,Gaining experience in dealing with complex decision-making situations under uncertainty,
    • Gaining experience in converting business figures into practical insights,
    • Making selection decisions when defining goals and strategies and their implementation in an economic-ecological environment,
    • Applying cost and profit accounting and product costing tools,
    • Understanding and experiencing the need for cross-divisional thinking and action within a company

    Self-competence:

    • Developing a defined problem solution within a specified time frame
    • Independently identifying the respective business situation
    • Critically reflect on your own decision-making process

    Social skills:

    • Developing and communicating business decisions in a team, usually with a maximum of five/six participants in a group, whereby cooperative interaction within a group and competitive interaction with other groups is experienced (consensus vs. conflict)
    • Divided coordination and sharing of decision-making processes
    • Referring business results in harmonious and disharmonious situations

    Contents

    Process of strategic management and application of strategic decision-making techniques with the phases:

    • Long-term goal setting
    • Environmental analysis
    • Company analysis
    • Choosing the strategy
    • Implementation of the strategy
    • Strategy controlling

    The course also focuses on planning, implementation and control as part of a business simulation game. This allows students to deal with complex decision-making situations under uncertainty. Objectives and strategies are defined and their implementation is planned and realized in a specific economic environment. Basic knowledge of cost and profit accounting and product costing is used as well as the basics of marketing and the introductory principles of strategic management.
    The focus on the essential and holistic aspects of corporate management is sharpened and cross-divisional thinking and action is trained according to the maxim of learning business by doing business.

     

    Teaching methods

    • Lecture in seminar style, with blackboard writing and projection
    • Group work
    • Planning game
    • Presentation
    • Regular discussion of the interim status of the project or seminar paper with the responsible supervisor

    Participation requirements

    Please refer to the applicable Bachelor's examination regulations (BPO) of the study program.

    The courses WIPB-41321 (General Business Administration and Corporate Management) and WIPB-41322 (Human Resource Management and Organization) as well as WIPB-42331 (Accounting and Financial Statements) and WIPB-42332 (Cost-Revenue and Profitability Analysis) should at least have been taken.

    Successful registration in advance of the course. Please note the announcements in the run-up to the course and the course-related limitation of participant capacity for usually around 30 students per business simulation course.

    Participation in the simulation game is compulsory. The prerequisite for participation in the simulation game is passing a 10-minute entrance test, which checks whether the students have studied the contents of the participant handbook for the simulation game. The participant handbook may be used in printed form during this short entrance test.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    • passed written exam
    • successful business game
    • participation in at least 90% of the attendance dates for the exercise and internship

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics
    • Bachelor of Business Informatics

    Literature

    Literatur:

    • Lehrbücher zum Themengebiet Unternehmensführung und Strategisches Management in der jeweils aktuellen Auflage; eine Auswahl hierzu ist nachfolgend aufgeführt:
      • Jung, Bruck, Quarg: Allgemeine Managementlehre
      • Bea, Haas: Strategisches Management
      • Dillerup, Stoi: Unternehmensführung
      • Welge, Al-Laham: Strategisches Management
      • Macharzina, Wolf: Unternehmensführung
    • Teilnehmerhandbuch zum Planspiel TOPSIM Basics und General Management II in der jeweiligen aktuellen Spielversion der Fa. TATA Interactive Systems, Tübingen

     

    Die Gesamtnote setzt sich im Detail zusammen aus:

    • Schriftlicher Prüfung nach dem seminaristischen Vorlesungsteil (möglichst direkt nach dem Vorlesungsblock, i.d.R. nach der 1. Hälfte des Semesters und grundsätzlich vor dem Unternehmensplanspiel);
    • Bewertung der Leistung durch die Teilnahme an dem Unternehmensplanspiel; d.h. erfolgreiches führen und managen eines fiktiven Planspielunternehmens über mehrere Geschäftsjahre und Darlegung der Ergebnisse im Zeitablauf sowie im Wettbewerbsvergleich gegenüber dem Aufsichtsrat / der Hauptversammlung des Unternehmens bzw. der Unternehmensplanspielleitung (Lehrenden). Bei der Unternehmensplanspielteilnahme besteht Anwesenheitspflicht, da die Leistung ansonsten nicht fundiert bewertbar ist.

    Begründung der Anwesenheitspflicht:

    Unternehmensplanspiele sind ein bewährtes Instrument, um Lehrinhalte anwendungs- und praxisorientiert zu vermitteln. Studierende führen in Vorstand-Teams von drei bis sechs Studierenden ein fiktives Unternehmen, das sich im Wettbewerb gegen andere Unternehmen in diversen Zielmärkten behaupten muss. Das Planspiel wird in der Regel über vier bis sechs Geschäftsjahre durchgeführt. Die in jedem Geschäftsjahr sich kontinierlich verändernden Unternehmens- und Marktsituationen erfordern eine durchgängige Teilnahme der Studierenden in der Planspieleinheit. Trotz dieser daraus erforderlichen Anwesenheitpflicht begrüßen insbesondere Studierende den Einsatz von Unternehmensplanspielen bzw. -simulationen im Rahmen von Lehrveranstaltungen (vgl. entsprechende Evaluationen der Lehrveranstaltungen).

     

    Logistikmanagement
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46836

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Knowledge and understanding

    After successfully completing the module, students can:
    • explain the basic terms, concepts and core tasks of procurement, production and logistics,
    • formulate and explain the objectives, tasks and processes of logistics and supply chain management,describe and analyze internal and cross-company processes within the value chain,understand the mathematical modelling of corresponding planning problems, explain selected models, methods for analysis and optimization and classify their significance for the optimization of processes.
    Use, application and generation of knowledge

    Students are able to:
    • to mathematically model problems relating to transportation, handling, network flow, task assignment, location selection, route and route planning,
    • process and solve selected models using standard spreadsheet techniques,select and apply methods for analysis and optimization for selected models. Communication and cooperation 

      The students can:
      • explain processes, concepts, models and methods
      • in an understandable way
      • Develop, prepare, present and communicate the results of analyses and modeling in individual and group work in a manner appropriate to the target audience
      Scientific self-image / professionalism

      The students:
      • reflect on the problems of logistics planning and recognize their relevance for operational practice,
      • transfer theoretical concepts and models to real logistical use cases,recognize the possible applications, limits and adaptability of methods,independently develop well-founded solution approaches for complex logistical problems and reflect on their practical implementation options
       

    Contents

    Part 1: Basics 

    • Introduction: Logistics and supply chain management (SCM)
    • Value chains, processes and networks as reference points
    • Logistics: perspectives, activities, players and sub-sectors
    • Procurement, production and distribution

    Part 2: Decision-making 

    • Modeling for application problems
    • Working with Excel
    • Tasks in transportation planning
    • Site planning tasks
    • Tasks in route planning
    • Inventory planning tasks

    Teaching methods

     
    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Exercises or projects based on practical examples
     

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    Written exam (100%, 90 min)

    Requirements for the awarding of credit points

    passed exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics

    Literature

    Teil 1: Einführung in die Logistik

    • Chopra, S., Meindl, P.: Supply Chain Management - Strategie, Planung und Umsetzung, 5. Auflage, Pearson Verlag, 2014
    • Furmans, K.; Henke, M.; Tempelmeier, H.; ten Hompel, M.; Schmidt T. (Hrsg.): Handbuch Logistik, 4. Auflage, Springer-Verlag, 2019
    • Hohmann, S.: Logistik- und Supply Chain Management - Grundlagen, Theorien und quantitative Aufgaben, Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2022
    • Kummer, S. (Hrsg.); Grün, O.; Jammernegg, W.: Grundzüge der Beschaffung, Produktion und Logistik, 4. Auflage, Pearson Deutschland GmbH, Hallbergmoos, 2018
    • Pfohl, H.-C.: Logistiksysteme, 9. Auflage, Springer-Verlag GmbH, Berlin, 2018
    • Pfohl, H.-C.: Logistikmanagement – Konzept und Funktion, 4. Auflage, Springer-Verlag GmbH, Berlin, 2021
    • Tripp, C. Distributions- und Handelslogistik – Netzwerke und Strategien der Omnichannel-Distribution im Handel, Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2019
    • Werner, H.: Supply Chain Management – Grundlagen, Strategien, Instrumente und Controlling, 7. Auflage, Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2020


    Teil 2: Entscheidungsfindung und mathematische Modelle in der Logistik

    • Domschke, W., Drexl, A., Klein, R., & Voß, S. (2015). Einführung in das Operations Research (8. Aufl.). Springer.
    • Furmans, K., Henke, M., Tempelmeier, H., ten Hompel, M., & Schmidt, T. (Hrsg.). (2025). Handbuch Logistik (4. Aufl.). Springer.
    • Martin, H. (2021). Technische Transport- und Lagerlogistik (7. Aufl.). Springer Vieweg.
    • Sydsaeter, K., Hammond, P., Strøm, A., & Carvajal, A. (2018). Mathematik für Wirtschaftswissenschaftler (5. Aufl.). Pearson.
    • Wehking, K.-H. (Hrsg.). (2020). Technisches Handbuch Logistik 1: Fördertechnik, Materialfluss, Intralogistik. Springer Vieweg.

    5. Semester of study

    ERP 2
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      45392

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Theoretical basic knowledge of ERP systems is taught in the course and previously acquired specialist knowledge is deepened using practical examples based on the SAP® ERP system.
    The focus is initially on getting to know the structure of an ERP system, the tasks involved in selection, installation and configuration, as well as the various customization options in the ERP system (SAP® ERP®). Following on from this, the special features of maintaining and operating an ERP system are covered.
    In-depth and practical implementation is carried out using a specific ERP system (SAP® ERP®). The processing of various case studies provides insights into practical and relevant aspects. In addition, basic knowledge of the ABAP® programming language is developed, taking into account database access and dialog design.

    Expert knowledge:

    • Differentiating between standard and customized software
    • Naming the advantages and disadvantages of standard software
    • Differentiate between the various customization and expansion options of standard software and evaluate the respective consequences
    • Operating the ERP system as part of process case studies
    • Using the development environment of the ERP system
    • Designing and implementing functional enhancements to standard software
    • Transferring the knowledge acquired and developing your own solutions as part of a mini-project

    Social skills:

    • Evaluating the importance of communication, conflict and team skills in implementation and customization projects
    • Sensitization to the social problems of an ERP implementation
    • Increasing cooperation and teamwork skills in the face-to-face exercises and mini-project

    Professional field orientation:

    • Knowledge of the requirements of different job profiles in the ERP environment (esp. sales, consulting, project management, application development)

    Contents

    • Technical structure of the SAP® ERP system (work processes of the application server)
    • Change options in SAP® ERP (types of customizations, their delimitation and consequences)
    • Development Workbench and its tools (ABAP® Editor, Function Builder, Screen Painter)
    • Meaning of the WBO (packages, requests, tasks, transport system, )
    • ABAP® programming language (program structure, syntax rules, declarative and operative commands)
    • Modularization options in ABAP® (subroutines, function modules)
    • Objects of the data dictionary (domains, data elements, tables)
    • Dialog programming (screens, PAI/PBO modules, input help, )
    • Inhouse developments (functional expansion of an ERP system in practical exercises based on a mini-project)

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work
    • Project work accompanying the lecture with a final presentation
    • Group work
    • Individual work
    • Case studies
    • Exercises or projects based on practical examples

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Färber, Günther; Kirchner, Anja (2008): ABAP - Grundkurs. 4. Auflage. Galileo Press.
    • Keller, Horst; Krüger, Sascha (2006): ABAP Object: ABAP-Programmierung mit SAP NetWeaver. 3. Auflage. Galileo Press.
    • Kühnhauser, Karl-Heinz (2005): Einstieg in ABAP. Galileo Press.

    Informations- und Business Performance Management
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      46909

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    The course is based on business management methods and derives requirements for IT support from them. Based on the consideration of the conceptual level of analytical applications, the technical implementation of the concepts and their comparison with each other is carried out.

    Technical and methodological competence (also interdisciplinary):

    • Knowing and classifying the terms strategic alignment, document management, balanced scorecard, key figure systems and predictive modeling
    • Recognize the core concepts of the information supply chain, multidimensional modelling, MOLAP, ROLAP, in-memory, data warehouse and data mining concepts
    • Basics of big data processing
    • Understanding and applying advanced business management methods such as planning and budgeting
    • Knowing and classifying life cycle models, reference models and modeling languages
    • Name and differentiate between information architectures

    Professional field orientation:

    • Application and concrete use of the methods taught in a semester-accompanying project
    • .
    • Construction of reports and analysis models from raw data, the use of various life cycle models (Kimball, Inmon, CRISP) based on the implementation of a small business intelligence project in a team.

    Social skills:

    • Group work strengthens personal social coordination and communication during the event
    • .
    • The project organization and management guided by the life phase models provides students with interdisciplinary methodological skills.

    Contents

    • Overview and introduction
    • Chapter I
      • Information and decision theory
      • Information supply chain
      • Business signals
      • Operational and analytical applications
      • Balanced scorecard
    • Chapter II
      • Accounting, controlling, strategic planning
      • Extraction, transformation, loading (ETL)
      • Concept of the data warehouse
      • Multidimensional modeling
    • Chapter III
      • Predictive analytics, data mining methods and applications
    • Chapter IV
      • Big data and document management
    • Chapter V
      • Multidimensional business applications
      • OLAP analysis
      • Business planning
      • Group consolidation
    • Chapter VI
      • Case studies of analytical applications
    • Chapter VII
      • Strategic Business and IT Alignment
      • Lifecycle models for information management projects

    Semester-accompanying group project:
    Development of a reporting system for standard and OLAP reports based on tourism market research data using Microsoft SQL Business Intelligence Studio with the following sub-steps:

    • Understanding the question
    • Understanding the data
    • Processing the data
    • Modeling
    • Validation
    • Application

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Internship accompanying the lecture
    • Group work
    • Concluding presentation

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    • passed written examination
    • successful presentation

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual

    Literature

    • Bashiri, I., Engels, C., Heinzelmann, M., Strategic Alignment, Springer, 2010.
    • Cameron, S., SQL Server 2008 Analysis Services Step by Step, Microsoft Press, 2009, ISBN-10: 0-7356-2620-0.
    • CRISP-DM, 1.0 step-by-step data mining guide, CRISP-DM consortium, 1999, (abgerufen am 25.11.2010) http://www.crisp-dm.org/download.htm.
    • Engels, C., Basiswissen Business Intelligence, W3L Verlag, Witten 2009.
    • Heinrich, Lutz J.: Informationsmanagement. Seit 1985 im Oldenbourg Wissenschaftsverlag, München / Wien, 8. Aufl. 2005, 9. Aufl. 2009 (1. bis 3. und ab 8. Aufl. mit Ko-Autor), ISBN 3-486-57772-7.
    • Jiawei Han, M.Kamber, Data Mining: Concepts and Techniques, http://www.cs.sfu.ca/~han/bk/.
    • Robert S. Kaplan, David P. Norton: Balanced Scorecard. Strategien erfolgreich umsetzen. Stuttgart 1997, ISBN 3-7910-1203-7.
    • Kemper et.al., Business Intelligence, Vieweg, 3. Auflage, 2010, ISBN 978-3-8348-0719-9.
    • Kimball, R. et. al., The Kimball Group Reader, Wiley, 2010.
    • Kimball, R., Caserta J., The Data Warehouse ETL Toolkit, Wiley, 2004.
    • Krcmar, H.: Informationsmanagement. 6. Auflage, Springer, Berlin et al., 2015, ISBN 978-3-662-45862-4
    • Misner, S., SQL Server 2008 Reporting Services Step by Step, Microsoft Press, 2009, ISBN-10: 0-7356-2647-2.
    • Mitchell, T., Machine Learning, McGraw Hill, 1997.
    • Scheuch, R., Gansor, T., Ziller, C: Master Data Management: Strategie, Organisation, Architektur, dpunkt.verlag, 2012.
    • Plattner, H., Zeier, A.: In-Memory Data Management: An Inflection Point for Enterprise Applications, Springer, Berlin, 2011.

    Projektmanagement
    • PF
    • 4 SWS
    • 5 ECTS

    • Number

      46858

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    The students can:

    • characterize a project as a unique task with clear objectives, risks, limited resources, special forms of organization and special methods and tools
    • characterize the organization and environment of a project with stakeholders, sponsors, project manager and project group
    • explain and apply the project management processes
    • Explain initiation processes, planning processes, execution processes, monitoring processes, completion processes
    • Explain organizational forms of projects of different scopes (projects within the company, consortia, ... ).

    Self-competence:

    The students can:

    • define the scope of a project
    • determine the activities of a project - including their duration, interrelationships and resources
    • set up a project plan and determine the costs of a project
    • monitor and control the execution of a project
    • identify and assess the risks in a project
    • design measures to avoid and manage risks
    • explain the competencies required in a project

    Social skills:

    The students can work in a team:

    • clarify the scope of a project
    • create a stakeholder analysis with a communication concept for stakeholders
    • identify and evaluate the impact of a project
    • create a change management concept for dealing with the effects of a project

    Professional field orientation:

    The students can:

    • describe the role of project management in an organization
    • explain the most important requirements for project managers
    • describe the most important certifications for project managers

    Contents

    Management and project management

    •  
    Concepts and examples
    • Project types (IT projects, construction projects, )
    • Standards and mainstreams in project management
    • Project management processes
    • Competencies in project management

    A project and its environment

    • Scope and objectives of a project
    • Criteria for the success or failure of a project
    • Stakeholders, sponsors, project manager and project team

    Project planning

    •  
    Activities and resources
    • Project work breakdown structure
    • Schedule and cost plan

    Project monitoring and project control

    • Date monitoring
    • Cost monitoring
    • Project controlling

    Risk management in projects

    • Risk identification
    • Risk assessment
    • Risk avoidance
    • Risk management

    Quality management and project management

    • Relationship between quality management and project management
    • ISO 9000 and ISO10006
    • ISO 14000 and ISO 26000

    Certification for project management

    Case study

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Master of Computer Science
    • Bachelor of Business Informatics
    • Master's degree in Medical Informatics

    Literature

    • PMI: PMBOK - aktuelle deutsche oder englische Ausgabe.
    • Schelle, Heinz; Ottmann, Roland; Pfeifer, Astrid: Projektmanager, GPM aktuelle deutsche oder englische Ausgabe.
    • Kerzner, Harold: Projektmanagement - aktuelle deutsche oder englische Ausgabe.
    • Burghardt, Manfred: Projektmanagement, Siemens Berlin & Müchen 2008.
    • sonstiges Material und zahlreiche Links stehen in ILIAS zur Verfügung

    Anerkannte Wahlpflichtprüfungsleistung
    • WP
    • 0 SWS
    • 5 ECTS

    • Number

      46994

    • Duration (semester)

      1


    Anerkannte Wahlpflichtprüfungsleistung
    • WP
    • 0 SWS
    • 5 ECTS

    • Number

      46993

    • Duration (semester)

      1


    Anerkannte Wahlpflichtprüfungsleistung
    • WP
    • 0 SWS
    • 5 ECTS

    • Number

      46991

    • Duration (semester)

      1


    Anerkannte Wahlpflichtprüfungsleistung
    • WP
    • 0 SWS
    • 5 ECTS

    • Number

      46992

    • Duration (semester)

      1


    Angewandte Logiken
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46817

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • Completers of the module have mastered advanced formal logic concepts in computer science and are able to transfer concrete classical and non-classical logics, logic concepts and methodologies to various computer science problems, adapt them to the respective needs and finally apply them in practice.
    • In particular, students will master the basics of formal logic modeling of dynamic processes and their applicability as well as techniques of formal specification and verification of models.
    • The students can apply these skills across disciplines.

      Self-competence:

      • The participants are able to independently deal with current research papers on formal logic modeling and verification in computer science and to understand the core statements.

      Social skills:

      • The participants are able to present formal-logical topics and questions in a didactic manner in presentations and written papers. In particular, they are able to present complex formal-logical issues at different levels of granularity (from conveying the pure underlying idea to formulating the exact mathematical facts).
      • The participants are able to lead discussions on scientific issues (in particular with regard to the applicability of the content taught to their respective field of study).The participants understand the relevance of the content taught for their field of study and are able to communicate this relevance adequately.

         

    Contents

    The event includes the following topics:

    • Classical concepts of modal logic (such as possibility and necessity) and their relevance in computer science
    • Syntax and semantics of classical modal and temporal logics (such as CTL*, CTL and LTL) and their applications
    • Formal-logical specification and modeling of computer science processes using possible-world semantics
    • (Automated) verification of modeled processes using model checking methods and their applications in practice
    • Syntax and semantics of epistemic logics (such as belief sets and epistemic modal logic) and their relevance for computer science
    • Exemplary application of the topics learned: depending on the interests and professional background, various example applications can be chosen such as Formal Hardware Verification , Modeling Dynamic Processes , Concurrency , etc.
    • Sensible intensional / propositional logics and their applications in modern computer science applications
    • Relevance of logics in the applications of artificial intelligence

    Teaching methods

    • Lecture in seminar style, with blackboard and projection
    • Exercise to accompany the lecture

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • oral examination
    • presentation

    Requirements for the awarding of credit points

    • passed oral examination
    • successful presentation

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor of Medical Informatics
    • Bachelor of Computer Science Dual
    • Bachelor of Medical Informatics Dual

    Literature

    • Hughes und Cresswell A New Introduction To Modal Logic, Routledge Chapman & Hall,
    • Kropf Introduction to Formal Hardware Verification, Springer-Verlag Berlin and Heidelberg, 1999
    • Chagrov und Zakharyaschev Modal Logic, Oxford University Press, 1997
    • Gardenfors - Knowledge in Flux: Modeling the Dynamics of Epistemic States (Studies in Logic), College Publications, 2008
    • Bab - Epsilon_mu-Logik - Eine Theorie propositionaler Logiken, Shaker Verlag Aachen, 2007

     

    Ausgewählte Aspekte der Informatik
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46904

    • Duration (semester)

      1


    Beschaffungsmanagement
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46805

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    Students should become familiar with the basic tasks and tools of procurement management and also practise specific analytical procedures, independent learning, group work and presentations.

    Students will be able to name, explain and independently apply the most important approaches and strategies of modern, practice-oriented procurement management. They will be able to differentiate between the tasks and objectives of strategic and operational procurement and demonstrate the connection between the two. They will be able to name, explain and apply standard strategies for the procurement of materials. They will be able to identify and evaluate procurement risks and apply measures to minimize these risks. Building on the basics, students will be able to make independent make-or-buy decisions from both a strategic and Business Studies perspective. In the case of external procurement, they can differentiate between sourcing strategies and apply these on the basis of independent analyses for material groups, taking into account the respective advantages and disadvantages. Students will be able to explain and evaluate selected procurement tools, such as supplier management, and design and apply them independently. Finally, they will be able to evaluate the influence of the procurement organization on procurement.

    Social skills and independence:

    Students learn to work cooperatively on practice-oriented tasks and case studies in groups within a given time frame and to make decisions. They can present the results of the group to the plenum using various media and present and defend their individual solutions and evaluate them in comparison with other solutions. In addition to defending their own views and solutions, students also develop empathy for opposing viewpoints.

    Students are able to independently solve exercises (reproduction, transfer, etc.) from the areas of procurement management. On the one hand, they can illustrate the theoretical content using practical examples. On the other hand, they will be able to find adequate solutions for tasks and problems from the professional practice of a procurement manager on the basis of theoretical skills and derive recommendations for action. Students learn how to deal with decision-making uncertainty against the background of the complexity of the problems to be solved and the information asymmetries in the area of conflict between companies, suppliers and the market.

    The lecture content is supplemented and deepened by exercises and case studies to be worked on in self-study. Furthermore, topic-specific information and backgrounds are to be researched independently.

    After completing a topic, students can reflect on their own level of knowledge on the basis of learning assessments and compare it with the set learning objectives and actively initiate any necessary measures.

    Contents

    • Basics of procurement management
      • Basic terms, objectives and importance of procurement
      • Material portfolio
      • Requirements analysis and determination
      • Supply concepts
    • Procurement risks
    • Strategic design of procurement
      • Development of the procurement strategy
      • Make-or-buy decision
      • Sourcing strategies
      • Commodity group strategies
    • Procurement tools
      • Supplier management
      • Bundling
      • Standardization
      • Tendering
    • Procurement organization and controlling

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Group work
    • Individual work
    • Case studies
    • active, self-directed learning through tasks, sample solutions and accompanying materials
    • Exercises or projects based on practical examples

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Appelfeller, Wieland.; Buchholz, Wolfgang (2011): Supplier Relationship Management - Strategie, Organisation und IT des modernen Beschaffungsmanagements, 2. Auflage, Wiesbaden 2011
    • Büsch, Mario: Praxishandbuch Strategischer Einkauf Methoden, Verfahren, Arbeitsblätter für professionelles Beschaffungsmanagement, 3. Auflage, Wiesbaden 2013
    • Weigel Ulrich, Rücker, Marco: Praxisguide Strategischer Einkauf Know-how, Tools und Techniken für den globalen Beschaffer, 2. Auflage, Wiesbaden 2015
    • Aktuelle Fallstudien aus dem Bereich der Beschaffung

    Componentware
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46808

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Introduction to component-based software development and application of what has been learned in practical examples based on EJB.

    Technical and methodological competence:

    • Knowing and defining the concept of components
    • Understanding the challenges of distributed systems
    • Knowing solution approaches with and without middleware
    • Know typical problems in enterprise applications (transaction protection, security, access control, internationalization, scalability, availability, ...)
    • Modeling distributed systems with UML
    • Understanding the difference between specification and its realization
    • Understanding the EJB specification
    • Applying EJB knowledge with the glassfish application server
    • Develop an independent solution as part of a project

    Interdisciplinary methodological competence:

    • Developing a project from any application domain

    Social skills:

    • Systematically work on problems of medium to high complexity in a team
    • Develop an EJB solution in a cooperative and collaborative team
    • Document an EJB solution in a cooperative and collaborative team

    Contents

    • General basics of component technology (motivation, definitions, goals,...)
    • Fundamental terms and challenges of enterprise applications (transaction protection, security, access control, internationalization, scalability, availability, ...)
    • Software architecture principles and concepts for defining software components and platforms
    • Concept of the application server
    • Stateless session beans
    • Stateful session beans
    • Singleton session beans
    • Message Driven Beans
    • Timer Services
    • Entity Manager and Persistent Entities
    • Transaction management
    • Characteristic features of component-based systems

    Teaching methods

    • Lecture in seminar style, with blackboard and projection
    • Exercise to accompany the lecture
    • Solving practical exercises in individual or team work
    • Internship accompanying the lecture
    • project work accompanying the lecture with final presentation
    • Exercises or projects based on practical examples

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • Project work with oral examination
    • Presentation
    • Semester-accompanying study achievements (bonus points)

    Requirements for the awarding of credit points

    • passed oral examination
    • successful project work
    • successful presentation

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science

    Literature

    • Oliver Ihns et. al.: EJB 3.1 professionell. Grundlagen- und Expertenwissen zu Enterprise JavaBeans 3.1 inkl. JPA 2.0, dpunkt.verlag GmbH, Auflage: 2., 2011
    • Jan Leßner, Werner Eberling: Enterprise JavaBeans 3.1: Das EJB-Praxisbuch für Ein- und Umsteiger, Carl Hanser Verlag GmbH & CO. KG; Auflage: 2, 2011
    • Clemens Szyperski, Dominik Gruntz and Stephan Murer: Component software. Beyond object-oriented computing, Pearson, 2nd Edition, 2002
    • CBSE-Proceedings: nth International Symposium on Component-Based Software Engineering

    Controlling
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46811

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students deepen their knowledge of operational and strategic controlling at the interface of business administration and business informatics. Students are gradually familiarized with the essential knowledge bases of controlling.

    Technical and methodological competence:

    The students

    • are able to design and implement efficient organizational structures for controlling
    • deepen their knowledge of methods and systems in operational and strategic controlling and are able to set up, network and further develop suitable controlling instruments.
    • master the selection, analysis and application of key figures and key figure systems.are able to apply traditional and modern methods with regard to the planning and control processes supported by controlling.

      Interdisciplinary methodological competence:

      The students

      • learn about the cross-sectional function of controlling with regard to other functional areas (procurement, production, etc.) and the support function of management and are able to apply controlling methods and instruments in an integrative manner
      • .
      • deepen the relationships with the company's information management (OLTP systems, OLAP-supported DWH systems, BI-supported controlling, dashboarding) with regard to the planning and control processes supported by controlling.

    Contents

    Building on the basics of accounting as well as investment and financial accounting, the following sub-areas of controlling are covered:
    • Fundamentals of controlling
    • Key figure systems incl. balance sheet and financial analysis
    • Cost and profit controlling
    • Planning and reporting systems
    • Modern instruments in cost management
    • Procurement controlling
    • Production controlling
    • Strategic controlling
    • Other selected controlling areas

    The sub-areas are weighted differently in the in-depth course. The course content is systematically developed as part of the lecture and exercises with the involvement of the students.

    Teaching methods

    • Lecture in seminar style, with blackboard writing and projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written written exam (90 minutes)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Medical Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Software and Systems Engineering (dual)

    Literature

    • Coenenberg, Adolf G.; Baum; H.- G.: Strategisches Controlling, 5. Aufl., Stuttgart 2013
    • Freidank, Carl-Christian: Kostenrechnung, 9. Aufl., München, Wien 2012.
    • Haberstock, Lothar: Kostenrechnung I., 13.Aufl., Wiesbaden 2008.
    • Haberstock, Lothar: Kostenrechnung II., (Grenz-) Plankostenrechnung, 10. Aufl., Wiesbaden 2008.
    • Hahn, D.: Planungs- und Kontrollrechnung - PuK - Controllingkonzepte, 6. Aufl., Wiesbaden 2001.
    • Hinterhuber, Hans: Strategische Unternehmensführung, Bd. 1: Strategisches Denken, 6. Aufl., Berlin, New-York 2004.
    • Horváth, P.; Gleich, Roland.; Seiter, Mischa.: Controlling, 13. Aufl. München 2015.
    • Horváth, Péter; Reichmann, Thomas (Hrsg.): Vahlens Großes Controlling-Lexikon, 2. Aufl., München 2002.
    • Kilger, Wolfgang: Flexible Plankostenrechnung und Deckungsbeitragsrechnung, 10. vollst. überarb. u. erw. Auflage, Wiesbaden 1993.
    • Reichmann, Thomas; Kissler, Martin; Baumöl, Ulrike: Controlling mit Kennzahlen und Managementberichten, 9. Aufl., München 2017.
    • Schön, Dietmar: Planung und Reporting im Mittelstand, 3. Aufl., Wiesbaden 2018
    • Weber, Jürgen; Schäffer, Utz: Einführung in das Controlling, 15. Aufl., Stuttgart 2016.

    Data Mining in Industrie und Wirtschaft
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46843

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

     

    Students master important methods and algorithms of modern data analysis for recognizing patterns and structures in large data sets. In particular, they are familiar with the three phases of pre-processing, analysis and evaluation of the data mining process. They will be able to select and apply suitable data analysis methods for specific applications in industry and Business Studies and use them to support decision-making.

    Technical and methodological competence:

    • Students have a sound knowledge of the data analysis methods covered.
    • The students know which method is suitable for which questions and data types and can classify and interpret analysis results.Students can carry out independent analyses of data sets using both Excel and special software (e.g. R, JMP, ...).

    Social skills:

    • The students can analyze data sets from practice in teamwork using the methods of the course and present the results to the plenum.

    Contents

     

    • Phases of data mining
    • Data, relations and data preprocessing
    • Multiple regression
    • Cluster analysis
    • Classification methods
    • Association analysis
    • Outlier detection

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work
    • Exercises or projects based on practical examples

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • Project work with oral examination
    • Examinations during the semester

    Requirements for the awarding of credit points

    • passed oral examination
    • successful project work
    • successful mini-project (project-related work)

    Applicability of the module (in other degree programs)

    • Bachelor of Medical Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual
    • Bachelor of Business Informatics

    Literature

     

    • Cleve, J., Lämmel, U. (2020), Data Mining, 3. Auflage, De Gruyter, Berlin/Boston
    • Runkler, A. (2015) Data Mining: Modelle und Algorithmen intelligenter Datenanalyse, 2. Auflage, Springer VS, Wiesbaden.
    • Hastie, T., Tibshirani, R., Friedmann, J. (2009), The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2. Auflage, Springer, New York

    Datenbanken 2
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46812

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological skills:

    • Develop EER models and transfer them to relational, object-relational and object-relational databases.
    • Discuss the limitations of the relational database model using examples.
    • Apply methods of object-relational mapping.
    • Explain the 5-level model of a database management system.
    • Explain concepts of storage and access management.
    • Use examples to apply the methods of access optimization and transaction management.
    • Discuss the possibilities of performance optimization.Apply methods of SQL tuning.

    Social skills:

    • Developing, creating, communicating and presenting learning content in teams

     

    Contents

    Implementation concepts

    • Memory management
    • Logical and physical access optimization
    • Transaction management
    • Distributed databases
    • Performance optimization and SQL tuning

    Database models

    • Data modeling (EER model)
    • Limitations of the relational model
    • Object-relational database extension
    • Object-relational mapping frameworks

    Teaching methods

    • seminar-style teaching with flipchart, smartboard or projection
    • Solving practical exercises in individual or team work
    • Internship to accompany the lecture
    • working on programming tasks on the computer in individual or team work
    • active, self-directed learning through Internet-supported tasks, sample solutions and accompanying materials
    • exercises or projects based on practical examples
    • The lecture is offered as a video
    • Inverted teaching (inverted classroom)

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual

    Literature

    • R. Elmasri, S. Navathe, Grundlagen von Datenbanksystemen, 2009
    • A. Kemper, A. Eickler, Datenbanksysteme (Eine Einführung), 2015
    • G. Saake, K.-U. Sattler, A. Heuer, Datenbanken Implementierungstechniken, 2011
    • R. Niemiec, Oracle database 12c release 2 performance tuning tips & techniques, 2017
    • R. Panther, SQL-Anfragen optimieren, 2014

    Datengestützte Logistik
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46869

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students can also name technologies and concepts from the Internet of Things (IoT) and Industry 4.0, know their fields of application and can work with them. They are also familiar with information systems, data standards and methods for logistics and supply chain management and can explain their function and benefits in the business processes of customer order processing.

    Technical and methodological competence:

    • Name and explain the functions and benefits of typical logistics-related information systems as well as the respective dependencies, possible interfaces and possible functional overlaps
    • Name and explain options for sensor-based data acquisition (IoT)
    • Mastering and applying methods for data coding and processing in relation to logistical issues
    • Design and conduct a case study on data-driven logistics process analysis in IoT and Industry 4.0

    Social skills:

    • Assessing the requirements for and suitability of information systems
    • Sensitization for social challenges in the digitalization of logistics processes
    • Solving practical use cases
    • Working in a team

    Professional field orientation:

    • Knowing the requirements of different job profiles in logistics management (on the company and consulting side)

    Contents

    • Customer order processing and logistics processes in supply chain management
    • Logistics-related information systems, e.g. for warehouse management, transportation management and supplier management
    • Technologies and standards for data generation and collection in the respective logistics processes
    • Data exchange and system landscapes
    • Cloud computing and data processing technologies
    • Conducting a logistics case study

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper (45 minutes, 75 %)
    • examinations during the semester (25 %)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Abts, D.; Mülder, W.: Grundkurs Wirtschaftsinformatik, 7. Aufl. Braunschweig 2011.
    • Albrecht, W. (2020): Aufgabenbereiche von IT-Systemen in der Logistik. In: Wehking, K.-H.: Technisches Handbuch Logistik 2. Springer Vieweg, Heidelberg, S. 58-60.
    • Arnold, D.; Isermann, H.; Kuhn, A.; Tempelmeier, H.; Furmans, Kai (2008): Handbuch Logistik. Springer-Verlag Berlin Heidelberg, https://doi.org/10.1007/978-3-540-72929-7.
    • Kummer, S.; Grün, O.; Jammernegg, W. (2018): Grundzüge der Beschaffung, Produktion und Logistik. 4. Auflage. Pearson, ISBN 978-3-86894-287-3.
    • Hompel, M.; Schmidt, T. (2010): Warehouse Management. Organisation und Steuerung von Lager- und Kommissioniersystemen. 4. Auflage, Springer Heidelberg, DOI 10.1007/978-3-642-03185-4.

    Datenschutz und Datensicherheit
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46813

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:
    The student knows the basics of IT security and data protection, understands the principles of client-server security and understands some standards and norms for securing data and systems.
    In this context, he/she recognizes the interaction and classification of various complementary technologies and standards (especially open source systems) for encryption, authentication, authorization and data exchange. He/she analyzes exemplary selected security procedures, applications and infrastructures on the basis of implementation examples in companies and service providers.

    Social skills:
    Based on practical demonstrations and experience gained through practical exercises, he/she will be able to evaluate typical and recognized technologies and procedures in the areas of client-server and end-to-end security.

    Contents

    Basics of public key and private key crytography methods and their applications, electronic signature, digital certificate, tunneling methods and virtual private networks (VPN), authentication protocols and methods, attack variants and techniques, hash methods, IPsec, public key infrastructures (PKI), transport layer security (TLS, SSL), firewalls and intrusion detection systems.

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Computer Science
    • Bachelor of Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Medical Informatics

    Literature

    • Claudia Eckert: IT-Sicherheit: Konzepte, Verfahren, Protokolle; 4. überarbeitete Auflage, R. Oldenbourg Verlag, 2006; ISBN 3-486-57851-0
    • Applied Cryptography; Second EditionBruce Schneier, John Wiley & Sons, 1996; ISBN 0-471-11709-9

    ERP in der Produktion
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46906

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    The aim of the lecture is to convey the requirements of manufacturing companies for an ERP system, as well as their implementation in a specific ERP system. In addition to the theoretical content, the individual topics in Microsoft Dynamics NAV are discussed and deepened with practical tasks from application and programming.

    Technical and methodological expertise:

    • Name the differentiation criteria of various manufacturing companies
    • Differentiating the requirements for an ERP system of individual production types
    • Designing and optimizing solution approaches in the tasks of production
    • Understanding and using the production module in Microsoft Dynamics NAV

    Professional field orientation:

    • Know and evaluate the challenges of different sectors in the manufacturing industry
    • .
    • Know the specific requirements of the job profiles ERP consultant and ERP developer, who are active in a counseling capacity in manufacturing companies.
    • Know the organization and structure of the counseled companies with Microsoft Dynamics NAV environment

    Contents

    General definitions of the different production types and their requirements for the ERP system (repetitive manufacturing, variant production, make-to-order production)

    • General basics (parts lists, routings, production orders)
    • Setting up the production module in Microsoft Dynamics NAV-Business challenges for planning, scheduling, costing, article classification in theory and practice
    • Creating requirement profiles for various industries and developing solutions
    • Running through manufacturing processes of different production types in the ERP system
    • Modeling of industry-oriented extensions
    • Learning about common extensions for ERP systems for production (PDC, MDC, PLM, planning boards, control station)
    • Own developments: functional extensions to the ERP system to map smaller industry requirements

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    Folien und Übungsaufgaben zur Vorlesung, Jörn-Arne Körnich, Erscheinen begleitend zur Vorlesung.

    Ergänzende Literaturempfehlungen:

    • Brummel, M.; "Microsoft Dynamics NAV2009 Application Design"; Packt Publishing; Olton Birmingham UK; 2010;
    • Jehle, E.; "Produktionswirtschaft. Eine Einführung mit Anwendungen und Kontrollfragen"; Recht und Wirtschaft; Auflage: 5., überarbeitete und erweiterte Ausgabe; Frankfurt a. M. ; 1999;
    • Luszczak, A.; Singer, R.; "Microsoft Dynamics NAV 2009 Grundlagen"; Microsoft Press Deutschland; Auflage: 1; Remscheid; 2009;

    IT-Servicemanagement
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46905

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      0 h

    • Self-study

      150 h


    Learning outcomes/competences

    Transfer of basic knowledge regarding the importance and use of IT service management in the company. Theoretical knowledge of the five phases and their processes, roles and functions of the IT Infrastructure Library (ITIL) lifecycle model. Consolidation and practical application of previously acquired specialist knowledge using practical examples.

    Technical and methodological competence:

    • Distinguish between IT management and IT service management
    • Name reasons and objectives for using ITIL
    • Differentiate between the different phases of the ITIL lifecycle
    • Use case studies to deepen the knowledge gained and develop your own solutions in the ITIL environment
    • Designing and implementing your own ITIL implementation scenarios in example companies
    • Transfer of acquired knowledge and comparison with other reference/framework models

    Interdisciplinary methodological competence:

    • Selecting suitable communication structures for service and support processes/structures
    • Systematic prioritization of activities and projects
    • Knowing error cultures (human factor in stressful situations)
    • Systematic use of IT key figures to measure target achievement

    Professional field orientation:

    • Knowledge of the requirements of different job profiles in the IT service management environment (service owner, service manager, process owner, process manager, etc.)
    • Knowledge of IT processes in the context of IT service management
    • Knowing roles and responsibilities within IT service management
    • Selecting and using suitable models, concepts and tools

    Contents

    • IT management and business service management (BSM) basics
    • IT service management (ITSM) basics
    • Concepts and methods of IT service management
    • ITIL basics and history
    • ITIL (IT Infrastructure Library) V3 2011
    • Service strategy (Service Strategy)
    • Service design (Service Design)
    • Service Transition (Service Transition)
    • Service Operation (Service Operation)
    • Continuous Service Improvement
    • .
    • ISO/IEC 20000 and other ITSM reference models or reference models for IT service provision

    Teaching methods

    • Lecture in seminar style, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Project work accompanying the lecture with final presentation
    • Case studies
    • role-playing games

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written examination paper
    • examinations during the semester

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Medical Informatics
    • Bachelor of Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Software and Systems Engineering (dual)

    Literature

    • Beims, M.; IT-Service Management mit ITIL®, ITIL® Edition 2011, ISO 20000:2011 und PRINCE2® in der Praxis; 3. Auflage; Dr. Carl Hanser Verlag; 2012
    • Buchsein, R., Victor, F. Günther, H., Machmeier, V.; IT-Management mit ITIL® V3: Strategien, Kennzahlen, Umsetzung; 2. Auflage; Vieweg; Wiesbaden; 2008
    • Olbrich, Al.; ITIL kompakt und verständlich; 4. Auflage; Vieweg; Wiesbaden; 2006
    • Victor, F., Günther, H.; Optimiertes IT-Management mit ITIL; 2. Auflage; Vieweg; Wiesbaden; 2005
    • Zarnekow, R., Fröschle, H.-P.; Wertorientiertes IT-Servicemanagement: HMD - Praxis der Wirtschaftsinformatik (Heft 264); dpunkt Verlag; Heidelberg; 2008.

    Investition und Finanzierung
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46831

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Transfer of basic knowledge regarding the possibilities for companies to raise and use funds. Theoretical and practical knowledge of internal and external financing options as well as investment calculation methods in the case of security and uncertainty.

    Technical and methodological competence:

    • Understanding financial issues
    • Designing a financial plan
    • Describing forms of financing and investment calculation methods
    • Solving simple investment decision problems
    • Determining appropriate financing options

    Contents

    • Basics of corporate finance
    • Financial planning
    • Internal financing
    • Investment calculation with security
    • Investment calculation with uncertainty and risk
    • External financing
    • Aspects of the design of the capital structure

    Teaching methods

    Lecture in seminar style, with blackboard writing and projection

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Hillier, D.; Ross, S.A.; Westerfield, R.W.; Jaffe, J., Jordan, B.: Corporate Finance, European Edition, New York (McGraw Hill), aktuelle Auflage.
    • Kruschwitz, L.: Investitionsrechnung, München/Wien, (Oldenbourg), aktuelle Auflage.

    Kommunikations- und Rechnernetze 1
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46832

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    After completing the course, students will be able to

    • Understand the principles, protocols and architecture of the internet
    • Use elementary commands of the Linux and Windows operating systems for network configuration and network testing
    • Perform and interpret protocol and network analyses with analysis tools
    • Analyze existing wired and wireless networks
    • Design and implement wired and wireless networks
    • Configure network components (router, switch) including VLAN and NAT

    Contents

    • Reference models (ISO/OSI, TCP/IP)
    • Bit transmission layer, transmission media
    • Ethernet, network components: Hub, switch, router; virtual LANs (VLAN)
    • IP protocols, addressing, routing
    • Network Address Translation (NAT)
    • Protocols of the transport layer
    • IPv6, IPSec, SSL/TLS
    • Wireless communication

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Processing programming tasks on the computer in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science Dual
    • Bachelor of Computer Science Dual

    Literature

    • Andrew S. Tanenbaum, David J. Wetherall; Computernetzwerke; Pearson Studium; 5. Auflage; 2012
    • Douglas E. Comer, Ralph Droms; Computernetzwerke und Internets; Pearson Studium; 3. Auflage; 2001

    Kooperative Systeme
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46912

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • Students know the basics of social groups and how they are supported by technical systems
    • The students are able to select, adapt and introduce a specific system for group work in a company
    • The importance and impact of IT support for group work in companies is known

    Interdisciplinary methodological competence:

    • The concepts of group work learned can be used across disciplines
    • Students can assess the importance of cooperative systems for the IT landscape of a company

    Social competence:

    • The seminar accompanying performance is carried out as group work and thus promotes social competence
    • .
    • This is supported by the application of the concepts learned in this course on the topic of groups

    Contents

    1. Theoretical foundations: social groups, communication, cooperation, coordination, knowledge management
    2. Technical implementation of cooperative systems: classifications and components
    3. Current examples from CSCW, CSCL, knowledge management, Web 2.0, social networks
    4. Cooperative systems for companies: Importance, selection, customization, implementation, impact

    Teaching methods

    Seminar-style teaching with flipchart, smartboard or projection

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • Homework
    • Presentation
    • Semester-accompanying coursework (bonus points)

    Requirements for the awarding of credit points

    • successful term paper
    • successful presentation

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual

    Literature

    • Back, A.; Gronau, N.; Tochtermann, K. (2012): Web 2.0 und Social Media in der Unternehmenspraxis: Grundlagen, Anwendungen und Methoden mit zahlreichen Fallstudien.München: Oldenbourg, 3. Auflage.
    • Gross, T.; Koch, M. (2007): Computer Supported Cooperative Work. München: Oldenbourg.
    • Haake, J. M.; Schwabe, G.; Wessner, M. (Hrsg.) (2012): CSCL-Kompendium. München: Oldenbourg Verlag, 2. Auflage.
    • Koch, M.; Richter, A. (2008): Enterprise 2.0: Planung, Einführung und erfolgreicher Einsatz von Social Software in Unternehmen. München: Oldenbourg.
    • Schwabe, G.; Streitz, N.; Unland, R. (2001): CSCW-Kompendium: Lehr- und Handbuch Zum Computerunterstützten Kooperativen Arbeiten.Heidelberg: Springer.

    Künstliche Intelligenz
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46834

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Fundamental knowledge of concepts and methods of artificial intelligence (AI) and of applications of knowledge-based methods in "intelligent systems". Basic understanding of the possible applications of these methods. Sensitivity for practice-relevant questions.

    Technical and methodological competence:

    • Capturing and presenting typical AI software architectures
    • .
    • Understanding and explaining the paradigms of symbolic and sub-symbolic approaches to AI.
    • In-depth explanation and demonstration of heuristic methods of symbolic AI: search, constraints, rule processing. Basic understanding of uncertainty and fuzziness in the context of knowledge-based applications.
    • Develop the ability to apply these methods in the context of simple problems.
    • Design and implement small agent programs.
    • Understanding and applicability of basic formal logic modeling techniques in the field of AI.

    Social skills:

    • Development of verbal skills and communication skills in a team by working out solutions in small groups
    • .

    Contents

    • Basic concepts of artificial intelligence and formal knowledge processing
    • Intelligent agents
    • State spaces and heuristic search, alpha-beta search, constraint propagation
    • Production control systems
    • Uncertain knowledge (probabilism), vague knowledge (fuzzy methods)
    • Simple neural networks
    • Formal logic modeling in the field of artificial intelligence (e.g. predicate logic)

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • immediate feedback and success monitoring

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor of Computer Science Dual
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Medical Informatics Dual
    • Bachelor of Business Informatics
    • Bachelor of Computer Science Dual

    Literature

    • Ingo Boersch, Jochen Heinsohn, Rolf Socher; Wissensverarbeitung. Eine Einführung in die Künstliche Intelligenz für Informatiker und Ingenieure ; 2. Auflage; Spektrum Akademischer Verlag; München; 2007.
    • Stuart Russel, Peter Norvig: Künstliche Intelligenz. Ein moderner Ansatz ; 3. aktualisierte Auflage; Pearson; München; 2012.

    Marketing
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46837

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students are familiar with the basic ways of thinking and development phases of the corporate marketing concept, the central decision-making factors (objectives, strategies, instruments) of marketing and current developments in national and international sales markets. They will be able to formulate market-oriented decision-making problems, work out relevant options for action and make targeted, method-based marketing decisions.

    Technical and methodological competence:

    • Defining the boundaries of the marketing concept in operational management.
    • Explain the basic concepts of marketing.
    • Structuring the current market forces in sales markets.
    • Formulate instrumental marketing objectives.
    • Systematize, evaluate and select marketing instruments.
    • Applying problem-relevant marketing decision-making processes.
    • Collecting, consolidating, evaluating and interpreting marketing information.
    • Self-competence:

      • Defining and solving selected marketing problems independently
      • .
      • Independently designing and interpreting Excel-based marketing methods.

      Social skills:

      • Coordinating marketing case studies as part of a team of two
      • .
      • Developing, writing and presenting marketing case studies
      • .

       

      Professional field orientation:

      • Know the qualification requirements of companies for marketing personnel
      • .
      • Assessment of current "Best Marketing Practices Studies".
      • Special methodological knowledge in the context of MS Excel.

    Contents

    • Decision field of marketing (term, market philosophy, development phases, goals, areas of responsibility, success effects of marketing)
    • Structure and dynamics of sales markets (demand behavior, competitors, market environment, economic market sizes, market developments)
    • Supply policy (objectives, product, program and service policy)
    • Pricing policy (objectives, cost-oriented pricing policy, demand-oriented decision-making calculations, conditions policy)
    • Distribution policy (objectives, sales channels, sales policy, vertical marketing)
    • Communication policy (communication goals, budget, instruments, tracking)
    • Marketing research (information requirements, data collection methods, data evaluation methods)
    • Marketing potential (marketing organization, marketing budgets, marketing personnel)

    Teaching methods

    Lecture in interaction with the students, with blackboard writing and projection

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    Ergänzende Literatur:

    • Altobelli, C.; Hoffmann, S.: Grundlagen der Marktforschung, UTB, Stuttgart 2011.
    • Becker, J.: Das Marketingkonzept, 4. Aufl., Beck, München 2011.
    • Bruhn, M.: Marketing. Grundlagen für Studium und Praxis, 11. Aufl., Gabler, Wiesbaden 2012 .
    • Esch, F.; Herrmann, A.; Sattler, H.: Marketing, 4. Aufl., Vahlen, München 2013.
    • Homburg, Ch.: Marketingmanagement, 4. Aufl., Gabler, Wiesbaden 2012.
    • Kreutzer, R.: Praxisorientiertes Marketing, 4. Aufl., Gabler, Wiesbaden 2012.
    • Meffert, H.; Burmann, C.; Kirchgeorg, M.: Marketing, 11. Aufl., Gabler, Wiesbaden 2012.
    • Müller, W.: Quantitatives Management mit Excel, Dortmund 2011.
    • Riesenbeck, H.; Perry, J.: Marketing nach Maß, McKinsey-Perspektiven, Redline, Heidelberg 2007.
    • Scharf, A.; Schubert, B.; Hehn, P.: Marketing, 5. Aufl., Schäffer-Poeschel, Stuttgart 2012.
    • Voeth, M.; Herbst. U.: Marketing-Management, Schäffer-Poeschel, Stuttgart 2013.

    Mensch-Computer-Interaktion
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      43081

    • Duration (semester)

      1


    Mobile Anwendungen und Systeme
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46891

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:
    Students know the importance of mobile applications and systems in the context of digital transformation and Industry 4.0 as well as in the Internet of Things and Services. Furthermore, they have applied research methods to create a paper (term paper with presentation) on a selected topic.

    Social skills:
    With regard to their social skills, students are able to work together in small teams and present the results of their work.

    Professional field orientation:
    With regard to their future professional field, students are familiar with the importance of digitalization and its impact on business models in various Business Studies areas. They also know the current IT trends and are familiar with the requirements of companies for business IT specialists.

    Contents

    1. Digital transformation characteristics and developments
    2. Digital business models
    3. Practical applications (guest lectures/excursions)
    4. Social media (e.g. blogs)
    5. New forms of work (Work 4.0)

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Project work accompanying the lecture with final presentation
    • Group work
    • individual work
    • Excursion
    • Presentation
    • Thesis
    • Independent scientific work
    • Concluding presentation

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • Project work with oral examination
    • Homework

    Requirements for the awarding of credit points

    • successful project work
    • successful term paper

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Petry, Th (Hrsg.)., Digital Leadership, Freiburg u. a. 2016
    • Abolhassan, F., Was treibt die Digitalisierung, Wiesbaden 2016
    • Samulat, P., Die Digitalisierung der Welt, Wiesbaden 2017
    • BitKom, Social Media Leitfaden, 3. Auflage, Berlin 2015
    • Scheer, A.-W.: Industrie 4.0: Von der Vision zur Implementierung. Hg. v. AWSi August-Wilhelm Scheer Institut für digitale Produkte und Prozesse. Saarbrücken (Whitepaper, 5), zuletzt geprüft am 17.08.2015.
    • Scheer, A.-W.: Thesen zur Digitalisierung. Whitepaper Nr. 7. Hg. v. August-Wilhelm Scheer Institut für digitale Produkte und Prozesse. Saarbrücken (Whitepaper, 7), zuletzt geprüft am 17.07.2015.

    Mobile App Engineering
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46847

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • Know, understand and assess the technical software challenges involved in developing mobile apps
    • Know and be able to apply processes, activities, methods, techniques, languages and tools for mobile app-specific requirements engineering
    • Know and be able to apply processes, activities, methods, techniques, languages and tools for designing mobile apps
    • Know and be able to apply processes, activities, methods, techniques, languages and tools for designing the interaction options and screen pages of a mobile app
    • Know and be able to apply processes, activities, methods, techniques, languages and tools for implementing mobile apps
    • Know and be able to apply processes, activities, methods, techniques, languages and tools for testing mobile apps
    • Know and be able to apply processes, activities, methods, techniques, languages and tools for going live with mobile apps
    • Know and be able to apply processes and activities, roles and responsibilities in the field of mobile app engineering

    Self-competence:

    • Development and creation of mobile app-specific development and results documents
    • Independent development of a mobile app across all development phases: from requirements to go-live
    • Presentation of the developed and achieved results

    Social skills:

    • Teamwork in groups of four in the internship over an entire semester

    Professional field orientation:

    • Practical implementation of mobile app-specific processes and activities
    • Practical application of mobile app-specific methods, techniques, languages and tools

    Contents

    The aim and content of the course is to teach suitable methods, concepts, techniques, languages and tools to professionally conceptualize, design, develop, test and commission mobile business apps from a software engineering perspective. The entire life cycle of a mobile app is considered, including:

    • User-oriented collection and specification of the functional and non-functional requirements for a mobile app
    • GUI prototyping with low- and high-fidelity prototypes
    • UX/UI design,
    • Specification of the interaction design and the individual screen pages,
    • Implementation of mobile apps,
    • Testing of mobile apps
    • Processes and activities for the go-live of a mobile app

    The phases and activities to be carried out are described and illustrated in a practical way using suitable methods, techniques, languages and tools based on a large industrial mobile app development project.

    In the practical part of the course, selected requirements, conception, design, development and testing activities are carried out in teamwork in order to develop a mobile app independently.

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Internship accompanying the lecture
    • Processing programming tasks on the computer in individual or team work
    • Concluding presentation

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    • written written examination
    • study achievements during the semester (bonus points)

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor of Medical Informatics
    • Bachelor of Computer Science Dual
    • Bachelor of Medical Informatics Dual

    Literature

    • Vollmer, G. (2017): Mobile App Engineering, Heidelberg: dpunkt-Verlag.

    Operations Research
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46841

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Acquisition of basic knowledge to describe concrete problems with the help of linear models and knowledge of methods to determine and evaluate model solutions.

    Technical and methodological competence:

    • Assessment of model approaches (validation)
    • Creating and evaluating admissible initial solutions using various solution algorithms
    • Developing optimal solutions from admissible initial solutions
    • Recognize and use correlations between start and end tableau (sensitivity analysis, ...)
    • Specifying special restrictions to derive integer solutions
    • Characterization of simplex solutions
    • Solving special OR problems (transport problems, ...)

    Interdisciplinary methodological competence:

    • Describing decision problems using OR models to uncover relevant structural features
    • Determining approximate solutions for practical problems by linear modeling of restrictions
    • Developing solution approaches for business planning problems (subsection, production program, process planning)

    Contents

    • Mathematical foundations of linear optimization
    • Graphical solutions
    • Algebraic determination of admissible corner points
    • Simplex algorithm
    • Problems with non-admissible initial solution (dual simplex algorithm, M-method, 2-phase method, 3-phase method)
    • Sensitivity analyses
    • Duality theory
    • Integer optimization
    • Special optimization methods (transport problems, ...)

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor of Business Informatics
    • Bachelor of Software and Systems Engineering (dual)
    • Bachelor of Computer Science
    • Bachelor of Computer Science

    Literature

    • Neumann,K., Morlock, M.: Operations Research. Hanser, München
    • Rietmann, P.: Operations Research (Vorlesungsskript, 2018)
    • Rietmann, P.: Aufgaben und Lösungen, 2018
    • Rietmann, P.: OR-Formelsammlung, 2018

    Produktionsmanagement
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46842

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Expert knowledge

    Knowledge
    Students know the different tasks that need to be solved at different planning horizons in production management. They distinguish between different features for characterizing real production systems. In addition, students are familiar with the various tasks of operational production management in more detail and understand the impact that production management usually has on the company's success.

    Skills
    Students can solve various operational production management tasks with concrete data material in the form of small case studies through calculation or optimization. They will be able to use Excel to simplify calculations for different problems and interpret the solutions obtained with regard to the initial problem. In addition, students will be able to explain and apply the appropriate method for different types of production organization and various issues and interpret the results. Furthermore, students will be able to recognize and evaluate interdependencies between the various tasks of production management.

    Personal skills

    Social skills
    Students can work on practice-oriented tasks in small groups and derive and defend the results in front of the plenum within a given time frame

    .

    Independence
    Students are able to independently solve exercises in the field of production management. On the one hand, they can analyze practical problems, select and apply a suitable process and derive recommendations for action. On the other hand, they can explain the theoretical content using practical examples.

    Contents

    • Introduction/definition/classification of the topic
    • Tasks of production management
    • Production program planning
    • Quantity planning (determination of material requirements, lot size optimization)
    • Scheduling and capacity planning
    • Customized production: Project planning
    • Batch production: scheduling
    • Mass production: Assembly line balancing/layout
    • Production control and monitoring
    • Integration of the tasks

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • seminar-style teaching with flipchart, smartboard or projection
    • active, self-directed learning through tasks, sample solutions and accompanying materials
    • immediate feedback and success monitoring

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam (60 minutes)

    Requirements for the awarding of credit points

    passed exam (50% of the points)

    Applicability of the module (in other degree programs)

    Bachelor's degree in Business Informatics

    Literature

    • Corsten, Hans; Gössinger, Ralf (2016): Produktionswirtschaft: Einführung in das industrielle Produktionsmanagement, 14., überarb. und erw. Auflage, München 2016.
    • Fandel, Günter; Fistek, Allegra; Stütz, Sebastian (2010): Produktionsmanagement, 2., überarb. und erw. Auflage, Heidelberg u.a. 2010.

    • Kistner, Klaus-Peter; Steven, Marion (2001): Produktionsplanung, 3., vollst. überarb. Auflage, Heidelberg 2001.

    • Tysiak, Wolfgang (2000): Einführung in die Fertigungswirtschaft, München, Wien 2000.

    • Steven, Marion (2014): Produktionsmanagement, Stuttgart 2014.

    • Werners, Brigitte (2013): Grundlagen des Operations Research, 3., überarb. Aufl., Berlin, Heidelberg 2013.

    • Zäpfel (2001): Grundzüge des Produktions- und Logistikmanagement, 2. Aufl., München, Wien 2001.

    • Zäpfel, Günther (1982): Produktionswirtschaft: Operatives Produktions-Management, Berlin, New York 1982.

    Softwaretechnik C
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      45261

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Technical and methodological competence:

    • Be able to assess and evaluate the complexity of software projects
      • Analyzing the background and causes of project failures
    • Know software development procedure and process models and be able to select them for specific contexts
      • Waterfall and spiral model, prototyping, V-model XT, Rational Unified Process, agile models (Scrum)
    • Know and be able to apply processes and activities, roles and responsibilities in the area of software management

    Interdisciplinary methodological competence:

    • Be able to organize and manage software projects
      • Project planning, effort estimation, effort and cost controlling
    • Know product management
    • Know and be able to apply process analysis, measurement and evaluation
      • Improvement of process quality (CMMI, GQM)

    Self-competence:

    • Development and creation of software management-specific result documents
    • Independent creation and presentation of selected software management topics and content

    Social skills:

    • Teamwork in groups of four over an entire semester

    Professional field orientation:

    • Practical application and implementation of software management-specific processes and activities

    Contents

    • Procedure and process models of software engineering (waterfall, concurrent and spiral model, V-Modell XT, Rational Unifed Process, Scrum)
    • Know and be able to apply processes and activities, concepts and methods of requirements management
    • Know and be able to apply risk management processes and activities, concepts and methods
    • Know and be able to apply project management (planning and control) processes and activities, concepts and methods
    • Know and be able to apply quality management processes and activities, concepts and methods
    • Know and be able to apply configuration management processes and activities, concepts and methods
    • Know and be able to apply product management processes and activities, concepts and methods
    • Know and be able to apply release management processes and activities, concepts and methods
    • Know and be able to apply processes and activities, concepts and methods of process improvement
    • Know and be able to apply framework models for process improvement

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Exercise accompanying the lecture
    • Solving practical exercises in individual or team work
    • Internship accompanying the lecture
    • Group work
    • Exercises or projects based on practical examples
    • immediate feedback and performance review

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor's degree in Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Computer Science Dual
    • Bachelor of Computer Science Dual
    • Bachelor of Medical Informatics Dual

    Literature

    • Balzert, H. (2008): Lehrbuch der Softwaretechnik: Softwaremanagement, 2. Auflage, Heidelberg: Spektrum Akademischer Verlag.
    • Balzert, H. (2009): Basiskonzepte und Requirements Engineering, 3. Auflage, Heidelberg: Spektrum Akademischer Verlag.
    • Ludewig, J., Lichter, H. (2013): Software Engineering Grundlagen, Menschen, Prozesse, Techniken, 3. korrigierte Auflage, Heidelberg: dpunkt-Verlag.
    • Pichler, R. (2009): Scrum - Agiles Projektmanagement erfolgreich einsetzen, Heidelberg: dpunkt-Verlag.
    • Pohl, K.; Rupp, C. (2015): Basiswissen Requirements Engineering, 4. überarbeitete Auflage, Heidelberg: dpunkt-Verlag.
    • Sommerville, I. (2018): Software Engineering, 10. aktualisierte Auflage, München: Pearson.
    • Spitzcok, N.; Vollmer, G., Weber-Schäfer, U. (2014): Pragmatisches IT-Projektmanagement, 2. aktualisierte und überarbeitete Auflage, Heidelberg: dpunkt-Verlag.
    • Vollmer, G. (2017): Mobile App Engineering, Heidelberg: dpunkt-Verlag.
    • Vollmer, G. (WS 2019/2020): Unterlagen zur Lehrveranstaltung "Softwaretechnik C - Softwaremanagement".
    • Winkelhofer, G. (2005): Management- und Projekt-Methoden, 3. Auflage, Berlin, Heidelberg: Springer.

    Softwaretechnik D
    • WP
    • 4 SWS
    • 5 ECTS

    • Number

      46264

    • Language(s)

      de

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Teaching the knowledge required to achieve a defined level of quality in software development. The analytical and constructive measures for quality assurance are known and can be applied in a targeted manner. Methodical approach to software maintenance.

    Technical and methodological competence:

    • Differentiating between analytical and constructive measures for quality assurance
    • Naming typical sources of error
    • Selecting suitable tools in the context of constructive software engineering
    • Selecting suitable metrics for quality measurement
    • Knowing different integration strategies
    • Recognizing the influence of automation on quality
    • Systematically derive test cases
    • Performing manual test procedures
    • Applying analytical test procedures
    • Naming risks, problems and principles of maintenance
    • Organizing software maintenance


    Interdisciplinary methodological competence:

    • Operationalizing the concept of quality via quality models
    • Understanding that testing is a necessary but not sufficient measure to ensure quality
    • Conducting target group-oriented presentations


    Professional field orientation:

    • Creating a quality manual
    • Selecting and using suitable tools (constructive software engineering)

    Contents

    • Quality models
    • Sources of error
    • Constructive measures
    • Manual test methods
    • Tools
    • Black box test
    • White box test
    • Metrics
    • Static code analysis
    • Test management
    • Automation (software infrastructure)
    • Load test
    • Maintenance and care

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor's degree in Software and Systems Engineering (dual)
    • Bachelor's degree in Business Informatics
    • Bachelor of Computer Science
    • Bachelor of Computer Science
    • Bachelor's degree in Medical Informatics
    • Bachelor of Computer Science Dual
    • Bachelor of Medical Informatics Dual
    • Bachelor of Computer Science

    Literature

    • Balzert, H.; "Lehrbuch der Softwaretechnik, Softwaremanagement", Spektrum Akademischer Verlag, Heidelberg, 2008
    • Binder, R.V.; "Testing Object-Oriented Systems", Addison-Wesley, Boston, 2000
    • Hoffmann, D.W.; "Software-Qualität", Springer Vieweg, Berlin, 2013
    • Liggesmeyer, P.; "Software-Qualität", Spektrum Akademischer Verlag, Heidelberg, 2009
    • Ludewig, J.; Lichter, H.; "Software Engineering", dpunkt.verlag, Heidelberg, 2010
    • Spillner, A.; Linz, T.; "Basiswissen Softwaretest", dpunkt.verlag, Heidelberg, 2012
    • Sneed, H.M.; Seidl, R.; Baumgartner, M.; "Software in Zahlen", Hanser, München, 2010

    6. Semester of study

    Praxissemester
    • PF
    • 0 SWS
    • 30 ECTS

    • Number

      107

    • Language(s)

      de

    • Duration (semester)

      1


    7. Semester of study

    Projektarbeit
    • PF
    • 0 SWS
    • 15 ECTS

    • Number

      46197

    • Duration (semester)

      1


    Thesis mit Kolloquium
    • PF
    • 4 SWS
    • 15 ECTS

    • Number

      103

    • Duration (semester)

      1

    • Contact time

      60 h

    • Self-study

      90 h


    Learning outcomes/competences

    Students are familiar with the basic terms, concepts and requirements of the operational goods management of the operational functions of procurement, production, distribution and logistics. They will be familiar with the central reference points of a logistics concept with internal and cross-company processes and the value chain as well as their objectives, tasks and suitable methods, which they will be able to explain in a problem-oriented manner.

    On the basis of these fundamentals, students learn the mathematical modeling of logistics problems for planning transport, handling, network flow, task assignment, location selection, tours and routes. They can formulate and solve these using standard spreadsheet techniques.

    Professional and methodological competence:

    • Explanation of the basic terms and core tasks of procurement, production and logistics
    • Formulating and explaining the objectives, tasks and core processes of logistics and SCM
    • Understanding and interpreting a complex mathematical optimization model
    • Formulate a mathematical and derived information technology model for a defined logistics planning problem using standard spreadsheet techniques within a given time frame
    • .


    Interdisciplinary methodological competence:

    • Knowledge of the problems of logistics planning
    • Knowledge of mathematical models and their application in logistics planning

    Self-competence:

    • Transfer of theoretical approaches to practical applications
    • Independent development of solutions to complex logistical problems using methodical mathematical and information technology approaches

    Social skills:

    • Developing, communicating and presenting the developed solutions to logistical problems in individual and group work

    Professional field orientation:

    • Knowledge of the tasks in logistics
    • Knowledge of the possible applications, adaptation options and limits of analysis and optimization methods for logistics management

    Contents

    Part 1: Introduction to logistics

    • Classification of logistics and SCM
    • Products and processes
    • Procurement, production and distribution
    • Logistics

    Part 2: Decision-making and mathematical models in logistics

    • Introduction to graph theory
    • Introduction to mathematical optimization
    • Transport optimization for logistics
    • Assignment optimization for logistics
    • Location optimization for logistics
    • Tour planning for logistics

     

     

    Teaching methods

    • Lecture in interaction with the students, with blackboard writing and projection
    • Solving practical exercises in individual or team work
    • Processing programming tasks on the computer in individual or team work
    • Exercises or projects based on practical examples

    Participation requirements

    See the respective valid examination regulations (BPO/MPO) of the study program.

    Forms of examination

    written exam paper

    Requirements for the awarding of credit points

    passed written exam

    Applicability of the module (in other degree programs)

    • Bachelor's degree in Business Informatics
    • Bachelor of Business Informatics

    Literature

    Teil 1: Einführung in die Logistik

    • Arnold, D.; Isermann, H.; Kuhn, A.: Handbuch Logistik, 3. Auflage, Springer-Verlag, 2008.
    • Kummer, S.; Grün, O.; Jammernegg, W.: Grundzüge der Beschaffung, Produktion und Logistik, 3. Auflage, Pearson, 2013.
    • Pfohl, H.-C.: Logistiksysteme, 9. Auflage, Springer Vieweg, 2018.
    • Werner, H.: Supply Chain Management, 6.Auflage, Springer Springer Fachmedien Wiesbaden GmbH, 2017.
    • Gudehus, T.: Logistik, 4. Auflage, Springer-Verlag Berlin Heidelberg, 2010
    • Vahrenkamp, R., Kotzab, H.: Logistik - Management und Strategien, 7. Auflage, Oldenbourg Verlag, 2012.


    Teil 2: Entscheidungsfindung und mathematische Modelle in der Logistik

    • Winkels, H.-M.: Modellbasiertes Logistikmanagement mit Excel, DVV Media Group Hamburg, 2010
    • Domschke, W; Drexl, A., Klein, R.; Scholl, A.: Einführung in das Operations Research, 9. Auflage, Gabler Verlag, 2015
    • Werners, B.: Grundlagen des Operations Research, 3. Auflage, Gabler Verlag, 2013

    Notes and references

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