Study plan
Compulsory elective modules 1. Semester
Compulsory elective modules 2. Semester
Compulsory elective modules 3. Semester
- WP
- 4SWS
- 5ECTS
Compulsory elective modules 4. Semester
Web-Technologien
Compulsory elective modules 6. Semester
- WP
- 4SWS
- 5ECTS
- WP
- 0SWS
- 5ECTS
- WP
- 0SWS
- 5ECTS
- WP
- 0SWS
- 5ECTS
- WP
- 0SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
- WP
- 4SWS
- 5ECTS
Compulsory elective modules 7. Semester
Adaptive Systeme
Anerkannte Wahlpflichtprüfungsleistung
Anerkannte Wahlpflichtprüfungsleistung
Anerkannte Wahlpflichtprüfungsleistung
Anerkannte Wahlpflichtprüfungsleistung
Angewandte Logiken
Anwendungsprogrammierung für die Medizin
Ausgewählte Aspekte der Informatik
BWL-Anwendungen
Componentware
Computergrafik
Controlling
Data Mining in Industrie u.Wirtschaft
Datenbanken 2
ERP 1 (Standardsoftware)
Effiziente Algorithmen und Datenstrukturen
Entwicklung verteilter Anwendungen
Fortgeschrittene Informationssicherheit
Gestaltung mit elektronischen Medien
IT-Servicemanagement
Informations- und Business Performance Management
Kooperative Systeme
Mobile App Engineering
Modellbasierte Softwareentwicklung
Moderne Datenbanken
Numerische Algorithmen
Prozessmanagement und Organisationsentwicklung im Gesundheitswesen
Rechnerarchitekturen
Softwaretechnik C (Softwaremanagement)
Systemprogrammierung
Virtualisierung und Cloud Computing
Compulsory elective modules 8. Semester
Compulsory elective modules 9. Semester
Module overview
1. Semester of study
Einführung in die Programmierung- PF
- 8 SWS
- 10 ECTS
- PF
- 8 SWS
- 10 ECTS
Number
41011
Language(s)
de
Duration (semester)
1
Contact time
105 h
Self-study
135 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.
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)
- Participation in project week (ungraded)
Requirements for the awarding of credit points
- passed written exam
- successful participation in project week (2 SWS internship)
- participation in at least 80% of the attendance dates in the project week
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/)
Projektwoche
Das Modul beinhaltet eine Projektwoche (I9PB-41012, 2 SWS). Die Klausurarbeit und die Projektwoche können unabhänig voneinander abgelegt werden. Für das Bestehen des Moduls ist neben einer Klausur die erfolgreiche Teilnahme an der Projektwoche erforderlich. Die Note des Moduls wird ausschließlich über die Klausurarbeit definiert. Die Projektwoche wird als 5-Tägige Blockveranstaltung im Anschluss an die Vorlesung angeboten.
Lern-, Arbeits- und Präsentationstechniken- PF
- 2 SWS
- 2 ECTS
- 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
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.
Mathematik für Informatik 1- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
41064
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, complex numbers as well as groups and solids.
- Students who have completed the module have mastered basic and in-depth 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. The graduates demonstrate a confident handling of the concepts and methods of - Graduates of the module are able to solve computer science problems by setting up and calculating the corresponding mathematical models (for example by
setting up and solving linear systems of equations). In doing so, 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 - The participants understand the relevance of the content taught for their field of study and are able to communicate this relevance adequately.
vector and matrix calculus and their geometric interpretation, setting up and solving linear systems of equations and dealing with straight lines and planes.
Interdisciplinary methodological competence and self-competence:
areas of computer science and to transfer the methods they have learned to these areas.
Social skills:
Contents
- Basics of mathematics for computer scientists: Introduction to set theory, cardinality of sets, relations, basics of propositional logic, complex numbers, groups and solids
- 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 lines / planes - Matrices: notation and interpretation, operations on matrices and their properties (transposing
of 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 systems of linear equations, homogeneous and inhomogeneous systems of linear equations and their relationships, rank of a matrix and relation to the solution set of systems of linear equations - Eigenvalues and basic transformations
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
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's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Skript zur Vorlesung
- Fischer, G.; Lineare Algebra; Vieweg; Wiesbaden; 16. Auflage; 2008
- Teschl, G. und Teschl, S.; Mathematik für Informatiker 1, 3. Auflage, Springer Verlag (2008) - im Intranet
der FH elektronisch verfügbar - Teschl, G. und Teschl, S.; Mathematik für Informatiker 2, 2. Auflage, Springer Verlag (2007) - im Intranet
der FH elektronisch verfügbar - Hartmann P.; Mathematik für Informatiker; Vieweg+Teubner, Wiesbaden; 5. Auflage; 2012
- Walz G.; Mathematik für Fachhochschule, Duale Hochschule und Berufsakademie; Spektrum; Heidelberg;
2011
Medizinische Grundlagen für die Medizininformatik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
42412
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
The subject teaches the fundamentals of medicine that are essential for further studies and a professional career, whereby the principles of medical thinking and action as well as the organization of treatment processes based on the division of labour are also an essential aspect, as these are the ones that will later be supported by IT. With a view to the 2 specializations in later studies, the basics are aligned with this. While profound knowledge of medical action, the organization of medical treatment processes and medical anatomy, terminology and the range of measures (the latter for understanding medical classification systems) is particularly important for the IT in healthcare focus area, knowledge of anatomy and neurophysiology as well as special diagnostic procedures is particularly important for medical technology.
Expert knowledge:
- Medical basics of anatomy and neurophysiology
- Medical terminology
- Methodological aspects of medical practice
- Economically significant diseases and their diagnostic and therapeutic concepts
Professional field orientation:
- Knowledge of the most important processes and decision-making mechanisms in medicine
- Ability to engage in dialog with medical professionals in the context of requirements analyses
Contents
The course is divided into the following parts:
- Concepts of health and illness, health models
- Principle aspects of medical action
- Phase concept from prevention to rehabilitation
- Selected aspects of diagnostics and diagnostic measures as well as therapeutics and therapeutic measures
- Pathodynamics, interventions and their significance
- Basics of human medicine
- Anatomy
- Terminology
- Neurophysiological basics
- Nosology, diagnostics and therapy concepts of selected diseases
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 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 Medical Informatics Dual
Literature
- Deschka Marc: Lernkarten Grundwortschatz Medizin - 324 Lernkarten zum Einstieg in die medizinische Fachsprache: Fachbegriffe, Fremdwörter & Terminologie. Bibliomed 2011.
- Faller A., Schünke M.: Der Körper des Menschen. 14. Ausgabe. Thieme Stuttgart 2004.
- Groß R., Löffler M., Gontard S.: Prinzipien der Medizin. Springer Berlin 1997
- Grün A.H., Vierbahn R.: Medizin für Nichtmediziner. Ku-Verlag 2007.
Technisches Englisch- PF
- 2 SWS
- 2 ECTS
- PF
- 2 SWS
- 2 ECTS
Number
41102
Language(s)
en
Duration (semester)
1
Contact time
30 h
Self-study
45 h
Learning outcomes/competences
- Present technical content correctly and comprehensibly in English .
- Use subject-specific vocabulary from IT and technology with confidence.
- Structure presentations logically and convey technical information in a target group-oriented way.
- Participate actively and constructively in technical discussions in English .
- Perform academic work and presentations in English (e.g. citing and using sources).
Contents
- Basics of technical English:
- Introduction to technical vocabulary .
- Description of technical objects and processes.
- Presentation techniques:
- Structuring presentations (introduction, main part, conclusion) .
- Use of visual aids (diagrams, tables, images).
- Rhetorical devices and presentation phrases.
- Scientific work:
- Correct source references and citation techniques .
- Summary of technical content in a precise form.
- Discussion techniques:
- Asking questions, giving feedback and arguing in discussions .
- 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)
2. Semester of study
Algorithmen und Datenstrukturen- PF
- 4 SWS
- 5 ECTS
- 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 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'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 2014
- A. Solymosi, U. Grude, Grundkurs Algorithmen und Datenstrukturen in JAVA, Springer Vieweg 2017
Grundlagen der Medizinischen Informatik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
42401
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Expert knowledge:
After completing the module, the student will be able to gain an overall overview of the application-related computer science subject "Medical Informatics", establish connections between the various application areas and sub-areas and be able to classify the topics in terms of subject and profession. They know the necessary basics from the two main specializations. The student is familiar with all the main IT applications of medical informatics and the associated fundamentals.
Among other things, the student is able to
- explain the aims and benefits of medical IT applications
- analyse medical forms and other documentation templates and standardize them with a view to IT implementation
- classify medical classification systems and select and apply them for draft documentation
- design medical documentation for specific areas of application
- model medical procedures/processes and explain the importance of process support through IT
- explain which medical signals and imaging procedures exist and how these can be transferred to computer systems and processed there
- explain the basic principles of medical information systems and use a medical practice information system and a hospital information system as a user
- explain the organization and financing of the German healthcare system
- describe the objectives and procedures of clinical studies and describe the use of IT for this purpose
Professional field orientation:
- Know the possible uses of IT in the healthcare sector and the associated skills required by medical informatics specialists
- Knowing the different organizational forms and requirements for IT in healthcare facilities
Contents
This module covers the basics of medical informatics in the areas of healthcare systems, medical documentation and medical informatics.
The didactic structure is designed in such a way that the context of the subject and the non-informatics aspects are dealt with first and then the possible and value-adding IT applications in healthcare and medical technology.
In detail, the course is divided into the following learning units:
Teaching methods
- Lecture in seminar style, 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 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 Medical Informatics Dual
Literature
- Desel J.: Das ist Informatik, Springer 2001.
- Dugas M., Schmidt K.: Medizinische Informatik und Bioinformatik. Springer 2002.
- Haas P.: Medizinische Informationssysteme und Elektronische Krankenakten, Springer 2004.
- Johner Chr., Haas P.: Praxishandbuch IT im Gesundheitswesen. Hanser 2009.
- Lehmann Th. M.: Handbuch der Medizinischen Informatik, Hanser 2005.
- Leiner F. et. al.: Medizinische Dokumentation Lehrbuch und Leitfaden. Schattauer 2006.
- Simon M.: Das Gesundheitssystem in Deutschland. Huber 2010.
Informationssicherheit für die Medizin- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
46815
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
The students are able to
- define, differentiate and explain basic information security terminology. understand the central importance of standardization in information security and map it methodically.to independently view and analyze information about vulnerabilities and threats and make informed decisions based on this information.explain and apply organizational and technical security measures.
Contents
- Terminology
- IT security, information security, difference between security and safety
- Asset
- Protection target (CIA and authentication)
- Vulnerability, vulnerability, threat, attack, attacker types
- Risk
- Security measure
- Security guidelines, human factor, security awareness
- Legal framework, European General Data Protection Regulation
- Standards and best practices
- ISO/IEC 27000 series
- Common Criteria
- IT baseline protection
- OWASP
- Applied cryptography
- Symmetric encryption (basics, AES, block modes, padding, pitfalls)
- Hash functions (types of attack, SHA-2 family, SHA-3 family), MAC
- Asymmetric cryptography (basics, DH, RSA, ECC, padding, pitfalls, digital shelf marks, certificates)
- Access control
- Basics (DAC, MAC, RBAC, Deny by Default, Least Privilege)
- Advanced models (ABAC, ReBAC), modeling
- Authentication
- Basics of authentication (types, MFA, entropy)
- Password-based authentication (Linux password databases, types of attacks, Salt, Argon2, NIST 800-63B)
- Basics of software development and information security
- Best practices (OWASP Top 10, SAMM, ASVS, Testing Guide)
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
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
- Bachelor of Computer Science Dual
Literature
- R. Anderson: Security Engineering: A Guide to Building Dependable Distributed Systems, 3. Auflage, John Wiley & Sons Inc., 2020
- C. Eckert: IT Sicherheit (Konzepte, Verfahren, Protokolle), 11. Auflage, De Gruyter Oldenbourg, 2023
- ISO/IEC 27000: Information technology Security techniques Information security management systems Overview and vocabulary, 2018
- K. Schmeh: Kryptografie Verfahren - Protokolle - Infrastrukturen, 6. Auflage, dpunkt.verlag, 2016
Mathematik für Informatik 2 (MI)- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
41063
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
- the students have understood the proof principle of complete induction and can apply it.
- the students are familiar with the Cartesian representation of complex numbers and can apply the basic arithmetic operations to complex numbers.
- the students know the concept of functions and can determine and name the properties of functions.
- the students are able to determine the limit behavior of sequences, series and functions.
- the students are able to determine Taylor series and approximate functions with the help of Taylor polynomials.
- can differentiate and integrate functions and use this knowledge in applications (e.g. extreme value calculations, de l'Hospital's rule, area calculations).
- know functions in higher dimensions. They can determine extreme points of these functions and calculate multidimensional integrals.
Contents
- Number ranges, full induction
- Functions: Polynomials, rational functions, exponential and logarithmic functions, trigonometric functions and their inverse functions, and other elementary functions
- Convergence of sequences and series
- Limit values and continuity of functions, calculation of zeros of functions
- Differentiability of functions; one- and multidimensional differential calculus
- Rule of de l'Hospital
- Taylor series expansion, approximation of functions by polynomials
- Local and global extrema of functions in one or more variables
- Integration of continuous functions in one and more variables (antiderivative, partial integration, substitution rule)
Teaching methods
- Lecture in interaction with the students
- lecture-accompanying exercise
- active, self-directed learning through tasks and accompanying materials
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
Duration: 90 minutes.
Requirements for the awarding of credit points
The performances are graded and must be completed with a minimum grade of sufficient (4.0).
The performance is considered at least sufficient if at least 50% of the possible points are achieved in both the basic part and the entire examination.
Applicability of the module (in other degree programs)
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Forster, O.: Analysis 1, Wiesbaden, Springer Spektrum, 2023, 13. Auflage.
- Forster, O.: Analysis 2, Wiesbaden, Springer Spektrum, 2025, 12. Auflage.
- Papula, L.: Mathematik für Ingenieure und Naturwissenschaftler Band 1 , Wiesbaden, Springer Vieweg, 2024, 16. Auflage.
- Papula, L.: Mathematik für Ingenieure und Naturwissenschaftler Band 2 , Wiesbaden, Springer Vieweg, 2025, 15. Auflage.
- Teschl, G. & Teschl, S.: Mathematik für Informatiker Band 2, Wiesbaden, Springer Vieweg, 2014, 3. Auflage
Programmierkurs 1- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
42021
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Providing the knowledge required to implement application software from a professional point of view. This includes the realization of graphical user interfaces, the connection of technical concept classes and the persistence of data. Concepts of object-oriented programming are applied in a problem-oriented manner.
Technical and methodological competence:- Implementing flexible systems through the use of polymorphism and interfaces
- Recognizing the advantages of regulated exception handling
- Implementing a flexible graphical user interface using components and layout managers
- Using data streams
- Identifying and solving concurrent programming problems
- Reusing components via the targeted use of an application programming interface (API)
Interdisciplinary methodological competence:
- Application of programming techniques in the implementation of commercial, technical and multimedia applications
Contents
- In-depth study of object-oriented programming in Java (abstract classes, interfaces, polymorphism)
- Professional exception handling via exceptions
- Use of collections for object management
- Access to the file system and organization of files (Java IO)
- Use of data streams
- Serialization of objects
- Programming graphical user interfaces (JavaFX)
- Event handling
- Concurrent programming (threads)
- Java Stream API and lambda expressions
- Architecture of application programs from an implementation perspective
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's degree in Business Informatics
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Horstmann, C., Cornell, G.; "Core Java, Volume 1: Fundamentals", Pearson, Boston, 2018
- Horstmann, C., Cornell, G.; "Core Java, Volume 2: Advanced Feature", Prentice Hall, Boston, 2016
- Krüger, G., Hansen, H.; "Java-Programmierung - Das Handbuch zu Java 8", OReilly Verlag, Köln, 2014
- Urma, R.-G., Fusco, M., Mycroft, A.; "Java 8 in Action: Lambda, streams, and functional-style programming", Manning, 2015
- Epple, A.; "Java FX 8", dpunkt.verlag, Heidelberg, 2015
- Sharan, K.; "Learn JavaFX8", Apress, Springer Science, New York, 2015
- Sierra, K., Bates, B.; "Head First Java", OReilly, 2005
Rechnerarchitektur und Betriebssysteme- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
43431
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Students learn about the basic structure of a computer, from simple digital circuits to a typical microprocessor and computer architectures to the basic concepts of an operating system. They also receive an introduction to concurrent programming.
Technical and methodological skills- Computer-oriented representation of information (numbers and characters)
- Describe basic digital logic gates and their function
- Sketch the structure and basic understanding of how microprocessors and complete computer systems work
- Understanding the theoretical structure and core functionalities of operating systems
- Practical application of the Linux operating system
- Sketch, understand and evaluate different implementations of important core functionalities of operating systems (process, memory and file management)
- Understanding the problems of concurrent programming and knowledge of possible solutions
Social skills
- Solving programming tasks in groups of two
- Presenting the results to the supervisor
Contents
- Number and character representation in the computer
- Basics of digital logic
- Computer architecture (layer model, machine types, computer structure, current processors, virtualization)
- Simple machine programs
- Operating system concepts (architectures, structures, processes, memory management, file systems)
- Introduction to the practical application of Linux
- Concurrency and inter-process communication
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
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's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
- Tanenbaum, A.S.; Computerarchitektur: Strukturen - Konzepte - Grundlagen, Pearson Studium, 2006
- Stallings, W.; Operating Systems; Prentice Hall, 2006
3. Semester of study
BWL- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
45281
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Students recognize the importance of business administration for everyday life and their future professional development as employees or independent entrepreneurs in the IT sector.
Technical and methodological competence:
- The students become aware of the legal and economic consequences of wrong business decisions .
- They learn tools and techniques that enable them to make calculations
- They know the differences between cost centers, cost types and cost units. You will be able to create a cost accounting sheet.You can make cost-conscious decisions and know how a company is structured.
- Students will receive an introduction to project management. They will be able to create a network plan .
- They will be able to link the acquired knowledge of business administration with the available IT programs. (Excel, MS Project)
- Students will work in groups to solve tasks and thus learn the requirements of the team-building process.
Interdisciplinary methodological competence:
Social skills:
Contents
- Historical development of Business Studies
- Legal foundations
- Operation and company, structure, organization and task of company divisions
- Procurement management
- Materials and warehouse management
- Production management
- Sales management
- Business accounting, calculations and cost accounting, BAB
- ABC analysis and project management (network planning technique)
- Company formation, types of company, capital increase
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
- 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's degree in 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
- Philip Junge: BWL für Ingenieure, Springer Verlag 2012
- Kruse/Heun : Betriebswirtschaftslehr, Winklers Verlag
- Deitermann, M., Schmolke, S., IKR mit Kosten- und Leistungsrechnung, Winklers Verlag
Datenbanken 1- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
43052
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Expert knowledge:
The student knows and understands
- Principles, concepts and methods of database systems and the database language SQL
- Correctly derive database schemas from class models
- Integrity aspects of database systems and for database implementations
- Design patterns for central aspects of medical data storage
The student can analyze, construct and apply
- Database schemas
- Use modeling tools
- Executing simple to complex database queries
- Using databases in application programming
- Creation of simple web services for indirect access to database content
Social skills:
The student(s) have designed and implemented a domain-specific database model in group work, which makes it necessary to reach a consensus on the model in the group. Proposals for specific modeling must be discussed, weighed up and decisions made.
Occupational field orientation:
The student knows the various occupational profiles in the field of database use and operation against the background of the importance of databases for companies and institutions in the healthcare sector.
Contents
A more complex data model and its implementation, including a database for transfusion documentation, serves as the basis for the course. The data model contains essential aspects that are used in many medical applications, such as the mapping of an organization consisting of organizational units and employees (here doctors, nurses, etc.), the management of materials (here blood products), medical measures and their results (here transfusion anamnesis and transfusion as well as checks after transfusions) and status information on transfusions and blood products. The database represents a small hospital with corresponding patients and their transfusions. Concepts and content conveyed are repeatedly reflected using this database as an example.
The exercises are based on the above-mentioned database; as part of the practical course, students must design and implement a model themselves based on a given small problem description, enter test data and carry out queries.
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's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
- Kemper A., Eickler A. : Datenbanksysteme. Eine Einführung. Oldenbourg München Wien 2006.
- Steiner, R.: Grundkurs Relationale Datenbanken Einführung in die Praxis der Datenbankentwicklung für Ausbildung, Studium und IT-Beruf. 7. überarb. u. akt. Aufl. Springer Vieweg Heidelberg 2009.
Diagnose- und Therapiesysteme für die Medizin- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
43451
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
After completing the module, students will be able to
- explain and outline the basic physical and mathematical processes of medical signaling and imaging
- describe and classify the technical operating principles of common medical devices
- name the most important diagnostic and therapeutic systems, demonstrate their possibilities and limitations and differentiate and independently evaluate their interaction
- recognize and classify biosignals and medical images
- describe and classify clinical workflows
- describe and classify the change in radiology and medical technology from digitalization to artificial intelligence
Social skills:
- Working on and solving tasks in smaller teams, such as the mutual derivation of biosignals or targeted experimentation with an ultrasound device
Professional field orientation:
- Knowing and classifying internationally standardized diagnostic and therapeutic systems typical of the profession and their clinical processes
- Processing and solving mathematical-technical problems with the standard software Matlab®, which is widely used in industry
Contents
- Introduction and motivation: outline of the historical development of medicine and medical technology
- Introduction to the most important medical diagnostic and therapeutic systems, their interaction and differentiation, as well as their clinical workflows: endoscopy, sonography, radiography, fluoroscopy, computer tomography, magnetic resonance tomography, nuclear imaging, interventional radiology, radiotherapy, image-guided surgery
- Basics of digital signal processing (practical course): Introduction to the Matlab® system for solving mathematical-technical problems
- Physics, technology and applications of the most important biosignals: electrocardiography (ECG), electroencephalography (EEG), electromyography (EMG) and electrooculography (EOG)
- Physics, technology and applications of the most important imaging techniques: Microscopy/endoscopy, X-ray imaging, computed tomography, ultrasound, magnetic resonance tomography
- Mathematical methods of medical 3D imaging: image reconstruction
- Introduction to methods of machine learning and artificial intelligence (MLP, neural convolutional networks) and their applications in radiology and medical technology
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- 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 Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science
Literature
- Dössel, O.; Bildgebende Verfahren in der Medizin; Springer; 2. Auflage; 2016
- Prokop, M.; Spiral and Multislice Computed Tomography of the Body; Thieme; 2. Auflage; 2013
- Bushberg, J.; The Essential Physics of Medical Imaging ; Lippincott Williams & Wilkins; 3. Auflage; 2011
- Handels, H.; Medizinische Bildverarbeitung; 1. Auflage; 2009
- Epstein, C.; Introduction to the Mathematics of Medical Imaging; Prentice Hall; 1. Auflage; 2003.
- Morneburg, H.; Bildgebende Systeme für die medizinische Diagnostik; 3. Auflage; Siemens, 1995
Online textbook:
- Sprawls, P.; The Physical Principles of Medical Imaging, 2nd Ed.: http://www.sprawls.org/ppmi2/
Programmierkurs 2- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
43022
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Deepening programming skills through a comparative analysis of the Java, C, C++ and C languages; . Identifying the individual strengths and weaknesses of each language depending on specific tasks.
Technical and methodological competence:
- Naming the problem domains of the languages under consideration
- Summarize the historical development of the languages under consideration
- Assess the platform dependency of the individual languages
- Name the advantages and disadvantages of automatic memory management
- Create executable C, C++ and C; programs
- Comparing procedural and object-oriented programming
- Evaluate possible applications of the Java, C, C++ and C languages
Interdisciplinary methodological competence:
- Selecting a suitable programming language for a given application domain
- Planning software projects (effort, resources)
Contents
- Introduction to the programming languages C, C++ and C;
- Comparison of procedural and object-oriented programming concepts
- Program structuring
- Variables, pointers and references
- Compound data types
- Dynamic memory management
- Type conversion
- Constructors and destructors
- Overloading of operators
- Exception handling
- Virtual element functions
- Abstract classes and interfaces
- Polymorphism
- Multiple inheritance
- Generic programming and templates
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's degree in 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
- Kernighan, B.W., Ritchie, D.M.; "The C Programming Language", Prentice Hall, 1988
- Klima, R., Selberherr, R.; "Programmieren in C", Springer, Wien, 2007
- Breymann, U.; "Der C++-Programmierer", Hanser, München, 2011
- Stroustrup, B.; "The C++ Programming Language", Addison-Wesley, Boston, 2013
- Stellman, A., Green, J.; "Head First C; ", O'Reilly, Beijng, 2012
- Troelsen, A., Japikse, P.; "Pro C; 6.0 and the .NET 4.6 Framework", APRESS, New York, 2015
Softwaretechnik 1- PF
- 4 SWS
- 5 ECTS
- 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.
4. Semester of study
Kommunikations- und Rechnernetze- PF
- 4 SWS
- 5 ECTS
- PF
- 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
Mathematik für Informatik 3- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
42073
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Acquisition of basic knowledge of applied statistics and the ability to select and apply descriptive and inductive statistical methods to solve problems of practical relevance.
Technical and methodological competence:
- Acquisition of methodological basics 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 with the help of 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's degree in Business Informatics
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Fahrmeir et al.; Statistik: Der Weg zur Datenanalyse; Springer; Berlin Heidelberg; 8. Auflage; 2016
- Vorlesungsskript
Softwaretechnik 2- PF
- 4 SWS
- 5 ECTS
- 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
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
Visualisierung und Interaktion für die Medizin- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
47719
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
After completing the module, students will be able to
- describe and analyze the interaction of the various sub-areas of computer science in the development of current medical diagnostic and therapeutic systems
- explain important mathematical concepts, algorithms and data structures of geometric modeling and image synthesis and select and implement them according to a given task
- select suitable methods for the direct visualization of medical volume data and implement them using a suitable programming interface describe methods of human-machine interaction in medical technology and weigh up their advantages and disadvantages
Social skills:
- Processing and solving tasks in smaller teams, such as the creation of medical visualizations on a professional, clinically approved diagnostic workstation
Professional field orientation:
- Knowing and classifying terms and procedures typical of the occupational field
- Processing and solving mathematical-technical problems with the standard software Matlab®, which is widely used in industry
Contents
- Introduction and motivation: Importance of the fields of computer graphics (geometric modeling and image synthesis), image processing and 3D computer vision (object reconstruction from projections) in the development of current medical diagnostic and therapeutic systems
- Overview of current standard software for the visualization of medical image data
- Introduction to selected programming interfaces (lecture and practical course): e.g. OpenGL / WebGL and VTK (Visualization Toolkit). Expansion of Matlab® knowledge
- Basic elements and algorithms of geometric modeling for generating surface models from medical image data: Points, interpolation, polygon meshes, curves, surfaces, marching cubes
- Basics and algorithms of image synthesis for the visualization and manipulation of surface models: Transformations, projection, visibility calculation and occlusion, local lighting and shading, textures, global illumination, stereo visualization
- Basics and algorithms for direct volume visualization: orthogonal sectional images, multiplanar reformatting, curved planar reformatting, volume rendering (classification, interpolation, lighting, compositing), virtual endoscopy
- Virtual reality and human-machine interaction in medical technology: input and output devices, tracking systems, stereo displays, haptic visualization using force feedback
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- 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's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Preim, B., Botha, C.; Visual Computing for Medicine: Theory, Algorithms, and Applications (Morgan Kaufmann Series in Computer Graphics), 2. Auflage; 2013
- Nischwitz, A. et al.; Computergrafik und Bildverarbeitung: Band I: Computergrafik; Vieweg+Teubner; 3. Auflage, 2012
- Preim B., Dachselt R., Interaktive Systeme, Band 1 und 2: Grundlagen, Graphical User Interfaces, Informationsvisualisierung, Springer 2010
- Klaus Engel, Markus Hadwiger, Joe Michael Kniss, Christof Rezk-Salama, Daniel Weiskopf: Real-time volume graphics. A K Peters 2006
- Schroeder, W., Martin, K., Lorensen B., The Visualization Toolkit - An Object-Oriented Approach To 3D Graphics, Kitware, Inc. 4th edition, December 2006
- Foley J.D. van Dam A., Feiner S.K., Hughes J.F.; Computer Graphics - Principles and Practice; Prentice Hall; 3. Auflage; 2013
Web-Technologien- WP
- 4 SWS
- 5 ECTS
- WP
- 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.
- 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.
- The participants develop and implement solutions cooperatively in a team .
- They are also able to explain and discuss their ideas and solutions.
- 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.
Interdisciplinary methodological competence:
Social skills:
Professional field orientation:
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
5. Semester of study
IT-Recht- PF
- 2 SWS
- 2 ECTS
- PF
- 2 SWS
- 2 ECTS
Number
45202
Language(s)
de
Duration (semester)
1
Contact time
30 h
Self-study
45 h
Learning outcomes/competences
After attending the course, students will be able to master the legal basics and recognize problems in the context of the design of IT contractual relationships or IT law in general and its specific characteristics, including at EU level. They will learn the special features of the application of the law with regard to IT and will essentially be able to analyze and classify the existing connections between technology and law within the framework of our legal system. They are also able to independently break down the relevant technical issues into the existing legal environment and, on this basis, recognize the legal consequences of their actions and, at the same time, differentiate between those that can be implemented on their own and those that can only be implemented with qualified legal assistance. At the same time, they are also able to assess the consequences of the legal classification for technical development and implementation and to use this knowledge for their further practical work in order to design result-oriented technical processes and developments in a legally resilient manner and to take the path of legally secure IT solutions as part of project management.
Contents
- Contract initiation and conclusion
- Other terminology
- IT law and general terms and conditions
- Other typical problem areas
- The end of contractual relationships
- Choice of law
- Ownership and acquisition of rights
- Copyright
- Warranty and guarantee / typical problem areas
- Liability for breaches of duty and legal violations
- Legal structuring of IT projects
- Data protection
- E-commerce
- Liability/responsibility of the provider
- Legal framework conditions of social networks
- Cloud computing
- Open source software
- Compliance in the company and IT security
- Compliance in the contract
- BYOD
- Advertising, telemarketing and law
- Telephone, telecommunications, unified communications
- IT security law
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 Software and Systems Engineering (dual)
- Bachelor of Computer Science
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
- IT- und Computerrecht, Gesetzessammlung, Beck-Texte im dtv;
- Telekommunikations- und Multimediarecht, Beck-Texte im dtv;
jeweils in der aktuellen Ausgabe
Informationssysteme im Gesundheitswesen- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
44441
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
- students are able to describe the structure of an electronic patient record and know the differences and areas of application of ePA, eFA, eGA
- the students know the basics of medical information systems and can apply them to specific examples
- they can name the modules of hospital information systems and practice systems and know the main processes supported
- the students are able to parameterize an information system
- they can name the structure and areas of application of HL7, DICOM and IHE
- they know the structure of the telematics infrastructure (TI) and applications on the TI
- they know the legal framework
- they know available and future applications of eHealth in order to optimally support business and clinical processes in the healthcare sector
Social skills:
- They know the essential soft factors in the use of IT in healthcare
Professional field orientation:
- they know the major providers of hospital information systems and their use
- they know what types of information systems are available on the market
- they know the common communication standards and terminology in the professional field of medical informatics
Contents
- Basics of medical information systems
- Structure and concepts of electronic patient records and other record systems
- Modules and supported core processes of a hospital information system
- Functions and supported core processes of a medical practice system
- Basics of communication standards in healthcare such as HL7 FHIR, DICOM, IHE, openEHR (syntactic interoperability)
- Fundamentals of basic terminologies such as ICD, OPS, SNOMED-CT (semantic interoperability)
- Legal framework conditions (KHZG, E-Health Act, DVG, ...)
- Development of the telematics infrastructure and applications on it (DiGAs, teleconsultations, KIM and others)
- Example applications of eHealth: eGK, ePrescription, eMedication, health portal, telemedicine, eDocumentation
- Parameterization of a hospital information system (exercise)
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- Solving practical exercises in individual or team work
- Excursion
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's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science
Literature
- Krankenhausinformationssystem iMedOne von Tieto (steht im Labor zur Verfügung) mit entsprechenden Handbüchern
- Krankenhausinformationssystem M-KIS der Meierhofer AG (steht im Labor zur Verfügung) mit entsprechenden Handbüchern
- P. Haas; Medizinische Informationssysteme und Elektronische Krankenakten; Springer 2004
- C. Johner; Basiswissen Medizinische Software; DPunkt 2011
Seminar Trends der Medizinischen Informatik- PF
- 2 SWS
- 2 ECTS
- PF
- 2 SWS
- 2 ECTS
Number
46182
Duration (semester)
1
Contact time
4 SWS
Self-study
90 h
Learning outcomes/competences
Contents
Forms of examination
Requirements for the awarding of credit points
Reason for the necessity of compulsory attendance:
This is a course comparable to excursions, language courses, internships and practical exercises with a maximum of 20 participants as a rule. Regular participation enables students to develop and consolidate their specialist and methodological skills by practising academic discourse in group work with other students and in dialog with the lecturer. It is not sufficiently possible for students to reflect on their skills and thus the learning objectives independently. Only a small proportion of the course relates to independent familiarization with the specialist content and preparation for the academic discourse; the greater proportion relates to the collaborative development and reflection of skills, so that regular participation in at least 2/3 of the attendance dates is required to achieve the learning objectives.
Telematik und Telemedizin- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
45442
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
The participants have a good knowledge of telematics and eHealth applications in the healthcare sector and the underlying concepts of interoperability of information systems. This also includes telemedical applications and, in particular, national applications in accordance with SGB V. The most important international standards such as HL7, IHE, ISO are also known and can be adequately applied for specific problem solutions. They are able to implement interoperability solutions in general and specifically for medical information systems, taking into account the state of the art, such as web services or standardized message communication.
Knowing and understanding
- Motivations and benefits of telematics and telemedicine applications in medicine
- Care processes and benefits of telematics applications
- Telematics applications by application class
- Relevant legislation, in particular SGB regulations for eHealth solutions including data protection aspects
- Problems and solution approaches for distributed open systems, integration technologies, especially web services
- Special aspects in healthcare for interoperability and use: IHE/XDS, FHIR, CDA
- Architecture and applications of the national healthcare telematics platform
- Special aspects of cross-institutional electronic patient record systems eEPA
- eMedication plan, emergency data set, ePA, KIM, MIOs, patient short file
- pHealth and mHealth: solutions for patients, the role of DIGAs
- Inpatient care and patient integration through patient portals
- Supporting care through telemedicine applications, basic application types
- Relevant international standards, in particular FHIR, IHE/XDS, CDA and SNOMED
Analyze, design and apply
- Integration approaches, especially the use of web services
- Telematics and telemedicine applications with the integration of patient apps
- Use relevant international standards in applications such as FHIR, IHE/XDS, SNOMED
Contents
After a brief introduction to motivation, the current situation in Germany and current legislation on telematics/telemedicine, the course is divided into four main parts with the following content:
- Distributed open systems - problems and solution approaches The national
- What are distributed open systems
- Integration levels, approaches and technologies
- Necessary central platform artefacts such as terminology and reference services
- the role of semantic reference systems for semantic interoperability, in particular SNOMED
- Telematics applications according to application classes
- National telematics platform and its applications
- Applications by application class
- Applications for communication (e.g. eArztbrief, eMeldung, KIM, eMessanger)
- Applications for documentation (e.g. eEmergency data, electronic patient file, patient short file)
- Applications for collaboration (DIGAs, case management, second opinion center, patient-physician collaboration, etc.)
- Applications for knowledge support (AMTS, guideline deployment, application of clinical pathways, etc.)
- Telemedicine applications
- Applications for medical collaboration (teleradiology, telepathology, televisit etc.)
- Applications for tele-monitoring
- mHealth and pHealth applications for patients
- Other applications
In each case, practically realized examples are discussed and partly demonstrated.
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 a final presentation
- 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 Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Albrecht U-V (Hrsg.) (2016) Chancen und Risiken von Gesundheits-Apps CHARISMHA. Medizinische Hochschule Hannover. URL: http://www.charismha.de/ (abgerufen am 18. November 2018)
- Coulouris G., Dollimore J., Kindberg T.: Verteilte Systeme. Konzepte und Design. Pearson Studium München 2002.
- Fischer F, Krämer A.: eHealth in Deutschland - Anforderungen und Potenziale innovativer Versorgungsstrukturen. Springer Berlin Heidelberg 2016.
- Haas P.: Gesundheitstelematik. Grundlagen Anwendungen Potenziale. Springer Heidelberg 2006.
- Haas P., Meier A., Sauerburger H.: E-Health. Praxis der Wirtschaftsinformatik. HMD 251. dpunkt.Verlag Heidelberg 2006.
- Haas P (2017) Elektronische Patientenakten Einrichtungsübergreifende Elektronische Patientenakten als Basis für integrierte patientenzentrierte Behandlungsmanagement-Plattformen. Bertelsmann Stiftung. Gütersloh.
- Knöppler, K.; Neisecke, T.; Nölke, L. (2016) Digital Health-Anwendungen für Bürger. Kontext, Typologie und Relevanz aus Public-Health-Perspektive Entwicklung und Erprobung. Bertelsmann Stiftung. Gütersloh.
- Marx. G., Rossaint R., Marx N. (Hrsg.) (2021) Telemedizin. Grundlagen und praktische Anwendung in stationären und ambulanten Einrichtungen. Springer Verlag 2021
- Melzer I.: Service-orientierte Architekturen mit Web Services. Springer Heidelberg 2010.
- Müller G., Eymann T., Kreutzer M.: Telematik- und Kommunikationssysteme in der vernetzten Wirtschaft. Oldenbourg München 2003.
- Diverse HL-7 und IHE-Standards-Papiere
IT-Management von Gesundheitseinrichtungen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46871
Language(s)
de
Duration (semester)
1
Contact time
90 h
Self-study
60 h
Learning outcomes/competences
Technical and methodological competence:
- The students know the phases of project management according to Ammenwerth and can apply them to their own IT project in the form of a valid project plan
- They understand the contents of strategic, tactical and operational project management
- You can name the special features of IT management in the healthcare sector and apply them analytically using examples
- You will be able to demonstrate the connection between IT management and process optimization
- You can carry out an as-is analysis of a given scenario
Social skills:
- Dealing with users in the medical field
- Working in a team
Professional field orientation:
- You will get to know a hospital information system
- You will learn about the tasks of an IT manager in a hospital (CIO)
Contents
- Strategic, tactical and operational project management
- From corporate strategy to IT strategy
- IT as a competitive factor
- Basics of the procurement of IT systems
- IT as a medium for process optimization
- Internship: Implementation project from the tactical management of an HIS as well as complete project documentation
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- Solving practical exercises in individual or team work
- Excursion
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 examination
- successful project work
Applicability of the module (in other degree programs)
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Medical Informatics Dual
Literature
- C. Johner; Praxishandbuch IT im Gesundheitswesen: Erfolgreich einführen, entwickeln, anwenden und betreiben; Carl Hanser 2009
- P. Gocke: IT im Krankenhaus: von der Theorie in die Umsetzung; MWV 2011
- Ammenwerth, Haux; IT-Projektmanagement im Gesundheitswesen; Schattauer 2005
Künstliche Intelligenz- WP
- 4 SWS
- 5 ECTS
- 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.
Mensch-Computer-Interaktion- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
43081
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
The course teaches the basics of user interfaces for efficient cooperation and interaction between humans and computers. In this context, both physiological and psychological aspects of human information processing are covered. Furthermore, software ergonomics is introduced as a scientific field that deals with the design of human-machine systems. Furthermore, the effects on concepts and implementations of software systems and user interfaces are examined and discussed.
Technical and methodological competence:- Observation of the basic learning and action processes when using software
- Knowledge of the standard operating elements for WIMP interfaces
- Name the most important standards, laws and guidelines on SW ergonomics
- Fundamental evaluation of the ergonomics of user interfaces based on these regulations
- Mapping the activities in the user-centered design process to case studies
- Basic knowledge of the most important usability engineering tools and their application in case studies
Interdisciplinary methodological competence:
- Knowledge of simplified action process models
Social skills:
- Observation, assessment and evaluation of communication situations
- Working on tasks in alternating small groups (2-4 students each)
Professional field orientation:
- Interdisciplinarity of user experience design
- Application of simple usability engineering tools (e.g. personas) using a case study
Contents
1. basics
- Introduction and motivation
- Definition of software ergonomics
- Perception
- Memory and experience
- Processes of action
- Communication
2. implementation
- Norms and laws
- Guidelines
- Hardware
- Forms of interaction
- Graphical dialog systems
3. user-centered design
- Introduction
- Web usability
- Accessibility
- Tools of usability engineering
4. further contents
In consultation with the students, one to three of the following topics will be covered. The list will be expanded as required
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 written examination
- Project work with oral examination
- study achievements during the semester (bonus points)
Requirements for the awarding of credit points
- passed written examination
- passed oral examination
- successful project work
Applicability of the module (in other degree programs)
- Bachelor's degree in Software and Systems Engineering (dual)
- 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
Die im jeweiligen Semester eingesetzte Prüfungsform (z.B. mündliche Prüfung) wird zu Beginn der Veranstaltung bekanntgegeben. Dies gilt ebenfalls für eine möglicherweise genutzte Bonuspunkteregelung.
Softwaretechnik D (Qualitätssicherung und Wartung)- WP
- 4 SWS
- 5 ECTS
- 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
IHK-Projekt/ Firmenprojekt- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
46263
Language(s)
de
Duration (semester)
1
Contact time
0 h
Self-study
150 h
Learning outcomes/competences
This description refers to the IHK project, which must be completed in the training-integrated form of the study program. In the practice-integrated variant, a corresponding company project must be completed without an IHK examination.
Known:- Practical problems in software development projects related to medical informatics
Application:
- Practical use of methods and procedures from software engineering .
- Application-specific use of the acquired programming language skills.
- Use of a software development environment with tools that are used in the individual software development phases. Evaluation of the course of the project from a Business Studies perspective
Contents
- The software internship is a course in which students should put basic principles, methods and procedures of software engineering into practice.
- Students work individually on a project from requirements definition to delivery. The students document this work in a comprehensive project report that is appropriate for the target group, didactically well thought-out and with suitable means of presentation.
- The project report analyzes the task and discusses the alternatives, presents the project planning and explains the reasons for the analysis, implementation and test procedures used. In addition, a detailed profitability calculation and a final evaluation are carried out and customer documentation is prepared. The project documentation includes the requirements specification, the test plans and protocols and the customer documentation. The project must be presented at the end and, in the training-integrated variant, presented in a technical discussion before an IHK examination board.
Participation requirements
Forms of examination
Project work with oral examination
Requirements for the awarding of credit points
passed IHK examination
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 of Medical Informatics Dual
- Bachelor of Computer Science Dual
- Bachelor of Computer Science Dual
Software-Praktikum- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
45262
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Knowledge and understanding
The students:
-
know the basic principles, methods and procedures of software engineering and their practical application in a realistic project.
-
understand the importance of agile process models such as Scrum and their use in software development.
-
are familiar with the key aspects of software architecture, technology evaluation and requirements analysis.
-
are familiar with the essential tools for modern software development, including version control systems, test automation, continuous delivery and bug tracking.
-
understand the importance of documentation and quality assurance in software development.
Use, application and generation of knowledge
Students are able to:
-
execute a software project in a team from the definition of requirements to delivery
-
apply agile methods such as Scrum and identify user stories and non-functional requirements
-
Design software architectures and evaluate appropriate technologies for the project.
-
Use version control systems (e.g. Git, SVN, Mercurial SCM) effectively.
-
Use test-driven development and set up continuous delivery pipelines.
-
Use ticket systems and bug trackers for task tracking and bug management.
-
create structured and comprehensible software documentation
Communication and cooperation
The students:
-
work in a team on a practical software project and take on different roles within the agile development process.
-
communicate requirements, architecture decisions and technical challenges effectively within the team.
-
present their project results to the practice company and the course management in an understandable and appropriate manner.
-
reflect critically on team processes and project progress and develop improvement strategies for future projects.
Scientific self-image / professionalism
The students:
-
develop a practical understanding of the challenges and requirements of professional software development.
-
recognize the importance of quality assurance, documentation and continuous improvement in software engineering.
-
understand the role of software projects in business contexts and can evaluate their success criteria.
-
are able to independently acquire and critically scrutinize new technologies and tools.
-
reflect on ethical and social aspects of software development and their impact on companies and users.
Contents
- The software internship is a course in which students put basic principles, methods and procedures of software engineering into practice.
- Innovation development
- Setting up an agile process model (e.g. SCRUM)
- Identification of user stories and non-functional requirements
- Architecture conception
- Technology evaluation
- Tools
- Version control systems (Git, SVN, Mercurial SCM)
- Code management
- Test-driven development
- Ticket systems and bug trackers
- Continuous delivery
- Documentation
- The students work in a team on a project from requirements definition to delivery .
- The task is a topic from business practice that is actually being worked on, but whose failure would have no significant consequences for the company.
- The project is oranizationally and technically (technology stack used) oriented to the specifications of the practice company
- The specification is agile project management with Scrum
The course trains software engineering skills by applying the following competencies (from previous modules) in a realistic project:
Teaching methods
- Requirements analysis based on a concrete project
- Independent organization of a software development team
- Group work in the field of practical software development
- Sprint reviews
- Acceptance meetings with the lecturers
Participation requirements
Forms of examination
Project work with subsequent presentation
Requirements for the awarding of credit points
- successful project work
- successful presentation
Applicability of the module (in other degree programs)
- Bachelor's degree in Software and Systems Engineering (dual)
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
7. Semester of study
ERP 2- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
45392
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.
- 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.
Signal- und Bildverarbeitung für die Medizin- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
44452
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
The students are able to
- identify the successes and challenges of medical signal and image processing in the context of clinical radiology
- list the stages of medical signal and image processing and explain them for a specific problem
- explain important mathematical concepts, algorithms and data structures of digital image processing in medicine and select and implement them according to a given task
- list basic signals and data of molecular biological measurement procedures and process them using data analysis methods
Contents
- Introduction and motivation: Clinical applications of digital signal and image processing and characterization of important medical image objects such as bones, vessels, tissue, tumors, etc.
- Overview of the stages of medical signal and image processing (1D, 2D, 3D, 4D)
- Introduction to a selected programming interface (practical course): Expansion of Matlab® knowledge
- Digitization (sampling, quantization), structure and properties of medical image data
- Signal and image pre-processing in the spatial domain
- Signal and image pre-processing in the frequency domain, convolution theorem, sampling theorem
- Segmentation of medical image data: thresholding methods, edge-oriented methods, area and volume growth methods
- Quantitative image analysis, image recognition and classification
- Image compression methods and the standard DICOM format for medical image data
- Modern feature extraction, e.g. interest points
- Registration
- Introduction of deep learning for image classification
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- 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 examination paper
- examinations during the semester
Requirements for the awarding of credit points
- passed written examination
- successful mini-project (project-related work)
Applicability of the module (in other degree programs)
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- Handels, H.; Medizinische Bildverarbeitung; Vieweg+Teubner; 2. Auflage; 2009
- Nischwitz, A. et al.; Computergrafik und Bildverarbeitung: Band II: Bildverarbeitung; Vieweg+Teubner; 3. Auflage, 2011
- Bankman, I. et al.; Handbook of Medical Image Processing and Analysis; Academic Press; 2. Auflage; 2009
- Gonzalez R. et al.; Digital Image Processing; Prentice Hall; 4. Auflage; 2018
- Burger, W und Burge, M. J., Digitale Bildverarbeitung, Springer-Verlag, 3. Auflage, 2015 (auch elektronisch in der FH Bibliothek vorhanden)
Adaptive Systeme- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46901
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
In this course, complex and adaptive systems for problem solving are discussed and implemented. Students acquire various skills in the process.
Technical and methodological competence:
After the students have attended the course
- are able to develop and analyze problem solutions with adaptive systems .
- use the most important concepts of adaptive and adaptable information systems to explain systems. use methods of Computational Intelligence for the design of adaptive systems.
- implement adaptive systems on the basis of the models explained. to evaluate the systems created, where possible.
- recognize the limits of adaptive systems.
The student is able to recognize that methods of adaptive systems can be used to describe properties of technical but also business and social systems and to analyze their behavior.
Social skills:
Cooperation and teamwork skills are trained during the practical phases. Students develop practical implementations in teams of size 2 and 3 and are able to present the developed solution together.
Contents
- Basics and examples of adaptive and complex systems and their application to control systems, networks and the web
- Modeling of adaptation processes using various adaptive techniques
- Application of soft computing methods (including evolutionary algorithms, particle swarm optimization, ant colony optimization, fuzzy logic, neural networks and modern machine learning methods) for system adaptation to (context) changes
- Personalization and modelling of user profiles and context
- Application of data classification methods in decision support systems (including rating systems, collaborative and social recommendation systems)
- Model-based self-adaptive systems
- Time series prediction
- Current applications of adaptive systems in the context of computer science and medical informatics
Teaching methods
- Lecture in seminar style, with blackboard and projection
- Exercise accompanying the lecture
- Internship accompanying the lecture
- Processing programming tasks on the computer in individual or team work
- project work accompanying the lecture with final presentation
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
- written examination paper or oral examination (according to current examination schedule)
- semester-accompanying coursework (bonus points)
Requirements for the awarding of credit points
passed written examination or passed oral examination (according to current examination schedule)
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 of Computer Science
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
- J. Schmidt, Chr. Klüver, J. Klüver, Programmierung naturanaloger Verfahren, Vieweg+Teubner Verlag (2010)
- R. Kruse, C. Borgelt, F. Klawonn, C. Moewes, G. Ruß, M. Steinbrecher, Computational Intelligence, Zweite Auflage, Vieweg+Teubner Verlag (2015)
- W.-M. Lippe, Soft-Computing, Springer Verlag (2005)
- A. Kordon, Applying Computational Intelligence, Springer Verlag (2010)
- I. Witten, E. Frank und M. Hall, Data Mining: Practical Machine Learning Tools and Techniques, 4. Auflage, Morgan Kaufmann (2017), elektronische Version im Intranet verfügbar
Anerkannte Wahlpflichtprüfungsleistung- WP
- 0 SWS
- 5 ECTS
- WP
- 0 SWS
- 5 ECTS
Number
46991
Duration (semester)
1
Anerkannte Wahlpflichtprüfungsleistung- WP
- 0 SWS
- 5 ECTS
- WP
- 0 SWS
- 5 ECTS
Number
46993
Duration (semester)
1
Anerkannte Wahlpflichtprüfungsleistung- WP
- 0 SWS
- 5 ECTS
- WP
- 0 SWS
- 5 ECTS
Number
46992
Duration (semester)
1
Anerkannte Wahlpflichtprüfungsleistung- WP
- 0 SWS
- 5 ECTS
- WP
- 0 SWS
- 5 ECTS
Number
46994
Duration (semester)
1
Angewandte Logiken- WP
- 4 SWS
- 5 ECTS
- 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.
- 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.
- 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.
Self-competence:
Social skills:
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
Anwendungsprogrammierung für die Medizin- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46875
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
After attending the course, students will be able to
- name the most important commercial software products for medical image processing, identify their possibilities and limitations and differentiate and independently evaluate their specific solution approaches
- name free programming interfaces and platforms and demonstrate their possibilities and limitations
- operate and assess complex radiological applications
- extend existing platforms and program simple applications
Social skills:
- Awareness of the importance of communication and cooperation when developing software in smaller teams
- Defending your own and criticizing other approaches
Professional field orientation:
- Knowing, applying and delimiting programming interfaces and platforms widely used in industry
- Dealing with problems related to the professional field, such as selecting suitable tools
Contents
- Introduction and motivation: Presentation of professional applications for the visualization, processing and analysis of medical image data: e.g. Siemens, GE, Philips, TeraRecon, Digital Medics
- Presentation of common open source libraries and programming interfaces, such as VTK / ITK, KWWidgets, The Image-Guided Surgery Toolkit (IGSTK), FastVox
- Presentation of common open source frameworks and applications, such as VolView, MeVisLab, 3D Slicer, ParaView, Medical Imaging Interaction Toolkit (MITK), eXtensible Imaging Platform (XIP), SCIRun, ITKSnap, ImageVis3D, Seg3D, etc.
- Introduction and practical experience with selected programming interfaces and platforms, such as OsiriX, MeVisLab, 3D Slicer, FastVox, etc.
- Extending existing applications with new functionalities and programming simple, new applications
Teaching methods
- Lecture in seminar style, with blackboard and projection
- 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's degree in Medical Informatics
Literature
- Neri, E. et al.; Image Processing in Radiology: Current Applications; Springer; 2008
Online Quellen
- Dokumentation zu dem jeweiligen "open source" Projekt
Ausgewählte Aspekte der Informatik - WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46904
Language(s)
de_en
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
In the course "Selected Aspects of Computer Science", content on a special topic of computer science is presented.
This course offers the opportunity to offer a course that is not offered on an annual basis. Lecturers from Germany and abroad and cooperation partners can be approached to present interesting aspects.
The topics offered specifically expand the range of courses in the field of practical computer science.
Both the content of the course and the forms of teaching and examination may vary from semester to semester.
Self-competence
Social competence:
-
- The students know the basics of the topic
- The students know the requirements, principles, architectures, methods, procedures and tools for the topic
- The students can work independently on tasks (case studies, project tasks, development tasks) .
- Students develop their results independently or in teams and present them .
- Practical work is done in teams.
Contents
In this course, 'Selected Aspects of Computer Science' are specifically presented.
This course is offered in coordination with the Dean of Studies, taking capacity aspects into account.
A module description - in accordance with the specifications in the module handbook - is created in advance for the specific course. The head of degree program uses this to check the suitability of the course to complement the curriculum. The module description is made available to the students from the beginning of the course.
Quality assurance is carried out by the head of degree program.Teaching methods
Seminar-style teaching
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Applicability of the module (in other degree programs)
- Bachelor of Computer Science Dual
- Bachelor of Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Software and Systems Engineering (dual)
- Bachelor of Software and Systems Engineering (dual)
- Bachelor's degree in Business Informatics
Literature
Die Literaturhinweise erfolgen Themen-spezifisch durch den jeweiligen Lehrenden.
BWL-Anwendungen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46990
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
- Knowledge of different business administration applications and their possible uses in companies .
- Operate the SAP® ERP system from an application perspective in the context of process case studies.
- Differentiate between the various customization and extension options of standard software and evaluate the respective consequences. Designing and implementing functional enhancements in SAP® ERP.
- Adapting the SAP® ERP system as part of customizing case studies. Using the development environment of the SAP® ERP system.
- Basic knowledge of the ABAP® programming language, taking into account database access and dialog design. Basic knowledge of the development and design of applications using SAPUI5 and SAP Fiori®.
- Evaluate the importance of communication, conflict and teamwork skills in implementation and adaptation projects .
- Sensitize to the social issues of an ERP implementation. Increase cooperation and teamwork skills in the face-to-face exercises and in the mini-project.
- Knowing the importance of different business administration applications for the business processes of companies .
- Knowing the importance of an ERP system in a company's IT.
- Know how to identify and use interfaces between an ERP system and other business applications. Know the requirements of different job profiles in the ERP environment (esp. sales, consulting, project management, application development).
Social skills:
Professional field orientation:
Contents
- Overview of business applications and integrated overall systems (data, process and function integration)
- Basics of SAP® ERP as an integrated overall system
- Standard software and customizing in general and implementation in SAP®
- Introduction to the customization of SAP® ERP systems
- Introduction to programming with ABAP®
- Database access and dialog programming with ABAP®
- Introduction to SAPUI5 and SAP Fiori®
- More complex in-house development as part of a mini-project
- Discussion of other related systems and technologies: Data Warehouse, Big Data, Blockchain ...
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
- Project work accompanying the lecture with final presentation
- Case studies
- Exercises or projects based on practical examples
- Immediate feedback and performance review in each case
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
- Project work with oral examination
- Semester-accompanying study achievements (bonus points)
Requirements for the awarding of credit points
- passed oral examination
- successful project work
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 of Computer Science
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
Bücher
- Balderjahn, Ingo; Specht, Günter (2016): Einführung in die Betriebswirtschaftslehre. Stuttgart: Schäffer-Poeschel.
- DRUMM, C., KNIGGE, M., SCHEUERMANN, B. & WEIDNER, S. 2019. Einstieg in SAP® ERP - Geschäftsprozesse, Komponenten, Zusammenhänge - Erklärt am Beispielunternehmen Global Bike, Bonn, Rheinwerk Verlag GmbH.
- HANSEN, H. R., MENDLING, J. & NEUMANN, G. 2019. Wirtschaftsinformatik, Berlin, Boston, Walter de Gruyter GmbH. Ergänzende Unterlagen:
https://lehrbuch-wirtschaftsinformatik.org/12/home ; Zugriff geprüft am 2. Mai 2021 - KÜHNHAUSER, K.-H. & FRANZ, T. 2019. Einstieg in ABAP, Bonn, Rheinwerk Verlag GmbH.
- KÜHNHAUSER, K.-H. & FRANZ, T. 2015. Einstieg in ABAP, Bonn, Rheinwerk Verlag GmbH. Online verfügbar: http://openbook.rheinwerk-verlag.de/einstieg_in_abap/ ; Zugriff geprüft am 2. Mai 2021
- LAUDON, K. C., LAUDON, J. P. & SCHODER, D. 2016. Wirtschaftsinformatik - Eine Einführung, Halbergmoos, Pearson Deutschland GmbH.
- LEIMEISTER, J. M. 2015. Einführung in die Wirtschaftsinformatik, Berlin Heidelberg, Springer Gabler
Componentware- WP
- 4 SWS
- 5 ECTS
- 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
Computergrafik- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46809
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
After successfully completing the module, students know the terminology of computer graphics and can use it correctly to describe graphics systems. They will know important mathematical concepts, algorithms and data structures of computer graphics and their use in common computer graphics systems.
You will be able to select suitable solutions for problems in the field of computer graphics and develop your own computer graphics applications using a standard programming interface (e.g. OpenGL).
Contents
Lecture
- Introduction:
Visual information processing and its applications, hardware and software of graphical systems - 2D graphics:
2D basic elements and basic algorithms, curves, transformations and clipping, raster conversion - 3D graphics:
3D basic elements, curves and surfaces, body modeling, scene graph and transformations, projection, visibility and occlusion, shader programming, lighting and shading, textures, ray tracing
Internship
- Graphics programming with OpenGL
Teaching methods
- Lecture in seminar style, 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's degree in 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 Computer Science Dual
- Bachelor of Medical Informatics Dual
Literature
- Nischwitz, A., Fischer M., Haberäcker P., Socher G.: Computergrafik : Band I des Standardwerks Computergrafik und Bildverarbeitung; Springer Vieweg; 4. Auflage; 2019
- Marschner, S., Shirley, P.: Fundamentals of Computer Graphics, 4th. ed., CRC Press, 2016
- Hughes J.F., van Dam A., McGuire M., Sklar D.F., Foley J., Feiner S.K., Akeley K.: Computer Graphics principles and practice, 3rd ed., Addison-Wesley, 2013
- Kessenich, J.; Sellers, G.; Shreiner,D.: OpenGL Programming Guide, 9th ed., Addison-Wesley, 2017
Controlling- WP
- 4 SWS
- 5 ECTS
- 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 learn the difference between strategic and operational controlling and can assess the importance of strategic corporate planning as the basis for strategic controlling.
Technical and methodological competence:Students learn about and apply operational controlling tools and techniques for annual profit generation. They will be able to determine sales, profit and capital return on investment. They can calculate the contribution margin and make decisions about price elasticity.
You will learn about and apply methods for strategic controlling to maintain the company. SWOT analysis, success factors and success objects, strategic business area analysis and strategic business units will be understood and categorized.Interdisciplinary methodological competence:
Students learn about the use of ERP systems in controlling. They will be able to classify controlling in the structure of business software.Social skills:
Group work strengthens social skills in team building and teaches consideration for others in discussions.
Contents
- Classification of controlling in the company
- The controller as a person
- The controlling control loop
- Revolving planning and the SWOT analysis
- Strategic business units and strategic business areas
- Success objectives and success factors
- Controlling key figures, ROI, balanced scorecard
- Break-even analysis, contribution margin accounting
- Price elasticity
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 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'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
- Ziegenbein, Klaus, Controlling, Kiehl Friedrich Verlag
- Däumler, Klaus-Dieter, Grabe, Jürgen, Kostenrechnung 2, Deckungsbeitragsrechnung, nwb-Verlag
- Reichmann, Thomas, Controlling mit Kennzahlen, Vahlen Verlag
Data Mining in Industrie u.Wirtschaft- WP
- 4 SWS
- 5 ECTS
- 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
- 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
ERP 1 (Standardsoftware)- WP
- 4 SWS
- 5 ECTS
- WP
- 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,
- Designing and implementing functional enhancements to standard software.
- Evaluate the importance of communication, conflict and team skills in implementation and customization projects. Sensitization to the social problems of an ERP implementation.
- Knowledge of the requirements of different job profiles in the ERP environment (esp. sales, consulting, project management, application development)
efficiency and completeness in integrated systems.
Social skills:
Professional field orientation:
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
- 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 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's degree in Software and Systems Engineering (dual)
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science
- Bachelor of Computer Science Dual
- Bachelor of Computer Science
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; Auflage: 1, Unterschleißheim, 2009
Effiziente Algorithmen und Datenstrukturen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46889
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
- Be able to describe basic algorithmic methods .
- Be able to assess problems in terms of their modeling possibilities and algorithmic complexity.
- Be able to describe and implement efficient algorithms and data structures for selected basic problems. Categorize algorithms with regard to their quality under different efficiency aspects.Know concepts and methods for solving combinatorial optimization problems and be able to apply them to a problem.Be able to check the correctness and efficiency of algorithms.
Contents
- Basics
- O-notation
- Graphs
- Graph algorithms
- Shortest paths
- Minimal spanning trees
- Flows in networks
- Matchings
- Tours
- Algorithmic techniques
- Divide and Conquer
- Dynamic programming
- Greedy algorithms
- Optimization problems
- Backtracking
- Branch-and-bound
- Approximation algorithms
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
- Group work
- Individual work
- Presentation
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 of Computer Science
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
- T. Cormen, C. Leiserson, R. Rivest, C. Stein: "Algorithmen - Eine Einführung", Oldenbourg, 4. Auflage, 2013
- T. Ottmann, P. Widmayer: "Algorithmen und "Datenstrukturen", Spektrum Akademischer Verlag, 6. Auflage, 2017
- G. Pomberger, H. Dobler: "Algorithmen und Datenstrukturen", Pearson Studium, 2008
- R. Sedgewick, K. Wayne: "Algorithmen", Pearson Studium, 2014
- R. Wanka: "Approximationsalgorithmen - Eine Einführung", Teubner, 2006
- B. Vöcking, H. Alt, M. Dietzfelbinger, R. Reischuk, C. Scheideler, H. Vollmer, D. Wagner: "Taschenbuch der Algorithmen", Springer, 2008
Entwicklung verteilter Anwendungen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46890
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Transfer of knowledge for the development of distributed applications
Technical and methodological competence:
- Understanding the special requirements and challenges of developing distributed systems
- Learning about the principles, architectures and mechanisms of distributed systems
- Knowing the approaches to developing distributed systems
- Converting current concepts into Java programs
Social skills:
- Working in small teams
- Results-oriented group work
Contents
- Scenarios of distributed systems
- Basics of distributed systems
- Distributed data management
- Communication in distributed systems
(request/reply, peer-to-peer, push) - Challenges of distributed systems
(heterogeneity, interoperability, configuration,...) - Quality of distributed systems
(transparency, security, reliability,...) - Architectures
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- 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's degree in 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 Computer Science Dual
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science
Literature
Literaturhinweise
- Bengel, Günther: Grundkurs Verteilte Systeme, 4. Auflage Springer Vieweg, 2014
- Dustar, Schahram et. al.: Softwarearchitekturen für verteilte Systeme, Springer, 2003
- Hohpe, Gregor, Woolf, Bobby: Enterprise Integration Patterns, Addison Wesley, 2004
- Kopp, Markus, Wilhelms, Gerhard: Java Solutions
Fortgeschrittene Informationssicherheit- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46900
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
The students are able to apply methods,
best practices and
- apply methods, best practices and software tools relevant in practice for the development of secure software.
- independently evaluate various cryptographic methods as part of a software development project and select adequate cryptographic methods on this basis.
- independently develop software that uses cryptographic methods and systematically test the software.
Contents
- Java Cryptography Architecture and API
- Legion of the Bouncy Castle Java Cryptography APIs
- Block ciphers: AES, padding, block modes, use as stream ciphers
- Stream ciphers: ChaCha20, generation of key streams
- Password-based encryption/decryption
- Key management
- Message digests, MACs, key derivation functions
- Asymmetric cryptography: DH, RSA, DSS, ECDSA
- Methods for developing secure software: e.g.
- Design principles according to Saltzer and Schroeder
- Secure coding guidelines (Java)
- Unit testing when using cryptography
- Penetration testing with software tools
- Best practices (OWASP Top 10, SAMM, ASVS)
The language of instruction is English.
C can be used as an alternative to Java.
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- Project work accompanying the lecture with final presentation
- Individual work
- Inverted teaching (inverted classroom)
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
- Oral examination
- Project work with oral examination
Requirements for the awarding of credit points
- passed oral examination
- successful project work
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 of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
Literature
- D. Hook und J. Eaves: Java Cryptography: Tools and Techniques, Leanpub, 2023
- F. Long, D. Mohindra, R. C. Seacord, D. F. Sutherland und D. Svoboda: Java Coding Guidelines: 75 Recommendations for Reliable and Secure Programs, Addison-Wesley Professional, 2013
- K. Schmeh: Kryptografie Verfahren - Protokolle - Infrastrukturen, 6. Auflage, dpunkt.verlag, 2016
- R. E. Smith: A Contemporary Look at Saltzer and Schroeder s 1975 Design Principles, IEEE Security & Privacy, 10(6), 20-25, 2012
Gestaltung mit elektronischen Medien- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46825
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
To implement own visual impressions with the help of recording media and programs according to the requirements of IT and internet interfaces. At the same time, to acquire the ability to brief media producers within a production according to the task catalogs.
Taught basic knowledge of the image editing program ADOBE PHOTOSHOP and Windows Paint 3D as an example. Application through practical recording work in a studio atmosphere with visual tools for recording and post-production of videos. Examination of recording media (classic photo and video cameras including current SmartPhone models) for practical suitability for IT and TV.Contents
Illumination of historical sources of the image media photography and video. Technical contexts, development and embedding of these media in computer technology, the processing and application of moving image media within the broad spectrum of information and telecommunication.
Teaching methods
- Lecture in seminar style, with blackboard and projection
- seminar-style teaching with flipchart, smartboard or projection
- Exercise to accompany the lecture
- solving practical exercises in individual or team work
- project work accompanying the lecture with final presentation
- Workshops
- Group work
- Individual work
- Presentation
- Seminar
- Exercises or projects based on practical examples
- Immediate feedback and performance review
- Regular discussion of the interim status of the project or seminar paper with the responsible supervisor
- 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
- passed oral examination
- successful project work
Applicability of the module (in other degree programs)
- Bachelor's degree in Software and Systems Engineering (dual)
- Bachelor of Computer Science
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science
Literature
- Walter Benjamin, Das Kunstwerk im Zeitalter seiner technischen Reproduzierbarkeit, Paris 1935
- Roland Barthes, Die helle Kammer: Bemerkungen zur Photographie , Paris 1980
- Susan Sonntag, On Photography New York 1977
IT-Servicemanagement- WP
- 4 SWS
- 5 ECTS
- 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.
Informations- und Business Performance Management- WP
- 4 SWS
- 5 ECTS
- WP
- 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 examination paper 75%
- semester-accompanying coursework 25%
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.
Kooperative Systeme- WP
- 4 SWS
- 5 ECTS
- 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
- Theoretical foundations: social groups, communication, cooperation, coordination, knowledge management
- Technical implementation of cooperative systems: classifications and components
- Current examples from CSCW, CSCL, knowledge management, Web 2.0, social networks
- 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.
Mobile App Engineering- WP
- 4 SWS
- 5 ECTS
- 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.
Modellbasierte Softwareentwicklung- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46897
Duration (semester)
1
Contact time
4 SWS
Self-study
90h
Learning outcomes/competences
Technical and methodological competence:
After completing the course, students will be able to
- Create models of software systems and technical systems .
- Use models to automatically generate software .
- Design a domain-specific language (DSL), implement it textually or graphically and provide tool support. Enrich a DSL with constraints to ensure the well-formedness of models
- Construct transformations and simple code generators .
- Select suitable technologies for modeling and generation
Contents
- Basics: model concept, model building, perspectives and levels of abstraction
- Modeling in software engineering and technical systems
- Metamodeling, four-level meta-modeling architecture, linguistic vs. ontological metamodels
- Domain-specific languages
- textual
- graphical
- Architecture, target platform, transformation and code generation
- Model-driven software development
- with Eclipse Modeling Framework/Ecore
- with Xtext, Xpand and Xtend, more recent developments
- with UML and related technologies: UML, Object Constraint Language (OCL), Query View Transformation Language (QVT)
- with MPS (JetBrains)
- Reference to related topics: e.g. product lines, quality assurance/testing
- Case studies from the areas of desktop, mobile and embedded systems (e.g. mbeddr)
Teaching methods
Forms of examination
Requirements for the awarding of credit points
Literature
- Völter: "DSL Engineering", dslbook.org, 2013
- Völter: "Generic Tools, Specific Languages", 2014
- Steinberg: “EMF: Eclipse Modeling Framework” (2nd Edition), Addison-Wesley, 2008
- Gronback: “Eclipse Modeling Project – A Domain-specific Language (DSL) Toolkit”, Addison-Wesley, 2009
- Stahl, Völter, Efftinge, Haase: „Modellgetriebene Softwareentwicklung“, dpunkt.verlag, 2. Auflage, 2007
- Gruhn, Pieper, Röttgers: „MDA“, Springer, 2006
- Markus Völter, DSL Engineering: Designing, Implementing and Using Domain-Specific Languages, dslbook.org, 2013
Moderne Datenbanken- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46892
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Expert knowledge:
- Know and use NoSQL database models and demonstrate possible applications .
- Know and explain materialized and virtual information integration.
- Know and explain distributed database architectures for big data applications. Know and explain exemplary data streaming applications.
- Evaluate big data applications taking into account ethical, social and Business Studies aspects.
Social competence:
- Developing, communicating and presenting non-relational database applications in small groups .
- Collaboratively creating and comparing non-relational database applications with relational solutions
Professional field orientation:
- Know the requirements of different job profiles in the database environment (database administrator. Database developer, application developer, data protection officer) .
Contents
- Distributed databases and big data applications
- Architectures for data streaming applications
- NoSQL database models
- Selected algorithms (e.g. map-reduce algorithm)
- Current applications
Teaching methods
- Seminar-style teaching with flipchart, smartboard or projection
- Processing programming tasks on the computer in individual or team work
- Project work accompanying the lecture with a final presentation
- Group work
- active, self-directed learning through internet-supported tasks, sample solutions and accompanying materials
- homework to accompany the course
- the lecture is offered as a video
- Inverted teaching (inverted classroom)
- Concluding presentation
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
- written exam paper
- presentation
- examinations during the semester
Requirements for the awarding of credit points
- passed written examination
- successful presentation
- successful mini-project (project-related work)
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 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
Literature
- S. Edlich, A. Friedland, J. Hampe, B. Brauer, NoSQL Einstieg in die Welt nichtrelationaler Web 2.0 Datenbanken, Hanser Verlag 2010
- M. Kleppmann, Designing data-intensive applications, O'Reilly Media (2017)
- A. Bifet, Machine learning for data stream, MIT-Press (2017)
- B. Ellis, Real-time analytics, Wiley & Sons (2014)
- Aktuelle Fachliteratur
Numerische Algorithmen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46840
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Teaching the fundamentals, techniques and algorithms of numerical and applied mathematics, insofar as they are relevant to the successful study of computer science. Students should be familiar with the specified course content and be able to make informed decisions about which technique to use to solve which problem. Furthermore, they should be introduced to the efficient implementation of the algorithms presented with the help of Matlab and be able to develop these further independently.
Technical and methodological skills:
- Calculation of numerical representations
- Analysis of numerical errors
- Numerical calculation of fixed points, zeros and roots
- Numerical calculation of derivatives and integrals
- Numerical solution of linear systems of equations
- Numerical solution of eigenvalue and eigenvector problems
- Calculation of approximating and interpolating polynomials and splines
- Calculation of approximating and interpolating surfaces
Contents
- Number representations and error analysis
- LR decomposition
- QR decomposition (Givens and Householder)
- Cholesky decomposition
- Banach's fixed point theorem
- Newton method
- Heron method
- Secantal method
- Descent method
- Divided-difference method
- Trapezoidal and Simpson's rule
- Norms and sequences in multidimensions
- Total step, single step and SOR methods
- Von Mises-Geiringer method
- Polynomial interpolation and approximation
- Spline interpolation and approximation
- Trigonometric interpolation and DFT
- Bilinear interpolation
- Multidimensional polynomial approximation
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- 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 of Computer Science
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- R. Schröder: Numerische Algorithmen, Skript zur Vorlesung.
Ergänzend:
- G, Bärwolf, Numerik für Ingenieure, Physiker und Informatiker, Springer-Verlag, Berlin-Heidelberg-New York, 2017, dritte Auflage
- G. Farin, Curves and Surfaces for CAGD, Academic Press, San Diego, 2002, fünfte Auflage.
- M. Hermann, Numerische Mathematik, de Gruyter-Oldenbourg, 2011, dritte Auflage
- T. Huckle, S. Schneider, Numerik für Informatiker, Springer-Verlag, Berlin-Heidelberg-New York, 2006, zweite Auflage.
- B. Lenze, Basiswissen Angewandte Mathematik, W3L-Verlag, Dortmund, 2014, erster Nachdruck.
- H. Prautzsch, W. Boehm, M. Paluszny, Bezier and B-Spline Techniques, Springer-Verlag, Berlin-Heidelberg-New York, 2010, erster Nachdruck.
- R. Schaback, H. Wendland, Numerische Mathematik, Springer-Verlag, Berlin-Heidelberg-New York, 2005, fünfte Auflage.
- J. Werner, Numerische Mathematik 1 und 2, Vieweg, Wiesbaden, 1992
Prozessmanagement und Organisationsentwicklung im Gesundheitswesen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46888
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
Knowledge:
- Objectives of process-oriented corporate management
- Process management at a glance
- Techniques of process optimization
- Methods of activity-based costing
- Organizational development goals
- Evolutionary and revolutionary organizational concepts
Capabilities:
- Create a process map
- Identify and analyze processes
- Optimize processes
- Improve processes with IT support
- Calculate process costs
- Describe functional and divisional forms of organization
- Apply tools of change management
Contents
- Process management at a glance
- Integrated management concepts
- From functional organization to process organization
- Business process management and process thinking
- Classification of processes
- Elements and subsequent relationships
- Structuring the process flows
- Process optimization: from actual to target concept
- Implementation of the target concept
Organizational development:
- Change as an ongoing task
- Organizational design
- Organizational development
- Corporate culture and organizational learning
- Evolutionary and revolutionary concepts
Teaching methods
- Lecture in seminar style, with blackboard writing and projection
- Solving practical exercises in individual or team work
- Planning game
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 Medical Informatics Dual
Literature
- Kretzmann, Willi (2009): Geschäftsprozessmanagement im Medizinischen Versorgungszentrum Konzept, Entwicklung und Realisierung. In: Hellmann W (Hrsg.) Handbuch Integrierte Versorgung, medhochzwei Verlag (online)
- Kretzmann, Willi (2010): Wie Change Management im MVZ zum strategischen Vorteil wird. In: Hellmann Willi (Hrsg.) Handbuch Integrierte Versorgung, medhochzwei Verlag (online)
- Kretzmann, Willi (2010): Unternehmensführung im Kontext eines integrierten Managementsystems. In: Hellmann, W., Kretzmann, W., Kurscheid, C.,Eble, S. (Hrsg.) Medizinische Versorgungszentren erfolgreich führen und weiterentwickeln, MWV 2010
- Schmelzer, Hermann J., Sesselmann, Wolfgang (2010): Prozessmanagement in der Praxis, Hanser 2010
Rechnerarchitekturen- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46845
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
- knows the various basic architectures for digital computer architectures
- can identify and classify the individual architecture elements
- can analyze application scenarios and select suitable architecture features
- knows the entire range from the structure level (RTL) to the instruction set level (ISA) and can apply these
- can understand and apply architecture manuals and instruction set manuals of current computer architectures
- Optimization options for computer architectures (e.g. caching, jump prediction) are understood and can be assessed
- knows paradigms such as parallel processing and special areas such as architectures for embedded systems through exemplary insights
- can assess and select microcontrollers with regard to their area of application and program them close to the hardware in assembler and C
- can use a development environment (using the Keil uVision environment as an example)
- can analyze current computer architectures and evaluate and discuss them against the background of their knowledge
Contents
- Structure and function of the Turing machine as an introductory example of a very rudimentary computer architecture => identification of the basic components arithmetic unit/control unit/memory/instruction set
- Structure and function of the integer Java virtual machine according to Tanenbaum
- Instruction set (ISA) and microcode, optimization of microcode, explanation of the specifics of ISA in Java byte code, CISC, RISC
- Analysis and optimization of the processing pipeline, instruction fetch unit, jump prediction, speculative execution, out-of-order execution
- Analysis of memory architecture, caching, memory types (SDRAM, graphics DRAM, SRAM, flash) and architectures .
- Comparative analysis of Intel Core and Intel Netburst architecture with regard to the above-mentioned topics
- Parallel computer architectures, including cache coherence (especially MESI), VLIW
- Examples of special computers (mobile processors, data flow computers)
- Architectures for embedded systems (including ARM, introduction of DMA and interrupt units)
- Atmel AVR as an example for microcontrollers, architecture, ISA, assembler and C programming
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 Medical Informatics
- Bachelor of Computer Science
- Bachelor of Computer Science
- Bachelor of Medical Informatics Dual
Literature
- Tanenbaum, A.: Computerarchitektur, 5. Auflage, Pearson, 2006
- Yiu, J.: The Definitive Guide to the ARM Cortex M0, Newnes, Elsevier, 2011
- Martin, T.: The Designer's Guide to the Cortex-M Processor Family, Newnes, Elsevier, 2013
- Brinkschulte, U.; Ungerer, T.: Mikrocontroller und Mikroprozessoren, 3. Auflage, Springer, 2010
Softwaretechnik C (Softwaremanagement)- WP
- 4 SWS
- 5 ECTS
- 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.
Systemprogrammierung- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46849
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Technical and methodological competence:
Knowledge:
- Fundamental concepts of operating systems
- Functionality of linkers and loaders
- Principles for debugging user programs
- Concepts of the Java VM and dynamic memory management
Application:
- Concurrent programming under Java
- Using the methods of the Java Runtime, Thread and ClassLoader classes
- Using synchronous and asynchronous communication
Contents
- Selected topics from the field of operating systems (linkers and loaders, runtime environment, memory management, mutual exclusion, deadlocks, concurrent programming, scanners, parsers)
- Selected topics from the field of distributed systems (synchronous and asynchronous communication, clock synchronization) Selected topics from the field of hardware-related programming (data types and basic operations, interrupts)
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 of Computer Science
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics dual
Literature
- A. Silberschatz, P. Galvin: Operating System Concepts, John Whiley & Sons, 2008 (8th Edition)
- Andrew S. Tanenbaum: Computernetzwerke, Pearson Studium, München 2003
- Andrew S. Tanenbaum: Moderne Betriebssysteme, Pearson Studium, München 2009
Virtualisierung und Cloud Computing- WP
- 4 SWS
- 5 ECTS
- WP
- 4 SWS
- 5 ECTS
Number
46810
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Providing basic knowledge in the field of virtualization and cloud computing. Theoretical knowledge of architectures and technologies in this area and awareness of their strengths and weaknesses in various areas of application. Consolidation of specialist knowledge using practical laboratory tasks with currently relevant cloud services and technology platforms.
Technical and methodological expertise:- Learning the relevant technical terms in the field of virtualization and cloud computing
- Classification and evaluation of the various concepts and architectures
- Installation and configuration of simple virtual systems with different technologies
- Conception and practical setup of simple cloud services with open-source and commercial resource management systems
- Overview of traditional and new areas of application for virtualization and cloud computing
- Overview of current research topics and evaluation of scientific publications
Contents
- Virtualization of CPU, memory and network components
- Container technology
- Current virtualization and container platforms
- Resource management and orchestration
- Current resource management and orchestration platforms
- Cloud computing service models (IaaS, PaaS etc.)
- New areas of application for virtualization and cloud computing (edge computing, NFV etc.)
- Open source development processes and communities
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- Processing programming tasks on the computer in individual or team work
- Project work accompanying the lecture with final 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 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
- Bachelor of Computer Science Dual
Literature
- Thomas Erl, Zaigham Mahmood, Ricardo Puttini; Cloud Computing; Prentice Hall; 2013
- K. Chandrasekaran; Essentials of Cloud Computing; CRC Press; 2015
8. Semester of study
Mathematik für Informatik 4 (MI)- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
43075
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
After attending the course, students will have acquired the following competencies
.
Technical and methodological competence:
The students are able to
- use the terminology of medical statistics, epidemiology and biometrics confidently in the professional field of medical informatics
- use methods of descriptive statistics to describe data and associations manually and with computer support in the statistical programming language R. select and execute statistical tests for specific problems and interpret the results.use the specific statistical methods of medicine (e.g. survival time analyses, logistic regression).visualize statistical data and provide simple interpretations.Critically question study results.
Interdisciplinary methodological competence:
The skills acquired are not limited to the subject area of medical statistics. Students are able to critically question statistical results of general studies and also analyze simple studies in non-medical contexts.
Professional field orientation:
As working professionals in medical informatics, students are able to understand the usual ways of speaking in clinics and medical practices and apply the terminology of medical statistics.
Contents
- Descriptive statistics and linear regression manually and with the statistical programming language R
- Epidemiological measures
- Repetition of statistical terminology in the context of medicine (distributions, random variables, confidence intervals)
- Medical statistical decision support
- Analysis of diagnostic tests
- Analysis of survival times
- Drug trials
- Conclusive statistics in medicine
- Bayesian networks and logistic regression with applications from medicine
- Medical statistical tests with application examples from medicine
- Study types, design and evaluation methods
- Genetic association studies
Teaching methods
- Lecture in seminar style, 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 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 Medical Informatics
- Bachelor of Medical Informatics Dual
Literature
- C. Weiß, Basiswissen Medizinische Statistik, 5. Auflage, Springer (2010)
- G. Teschl und S. Teschl, Mathematik für Informatiker 2, 2. Auflage, Springer (2007) - im Intranet der FH elektronisch verfügbar
- J. Groß, Grundlegende Statistik mit R, Vieweg, (2010) - im Intranet der FH elektronisch verfügbar
- M. Oestreich und O. Romberg, Keine Panik vor Statistik, 3. Auflage, Vieweg (2010)
- R.-D. Hilgers, P. Bauer und V. Scheiber, Einführung in die Medizinische Statistik, Springer (2006)
Projektarbeit- PF
- 0 SWS
- 7 ECTS
- PF
- 0 SWS
- 7 ECTS
Number
45194
Language(s)
de
Duration (semester)
1
Contact time
6 h
Self-study
219 h
Learning outcomes/competences
Through the project work, students learn the following skills, which prepare them to write their later final thesis and qualify them for their career entry and career path:
Technical and methodological skills:
- Solving medical informatics-specific problems in the domain context of medicine/healthcare, taking into account limited resources and adequate methods and tools.
Interdisciplinary methodological competence:
- Specifying requirements, modeling systems, setting objectives, planning and controlling projects, ensuring quality, pre- and post-calculation of time expenditure and comprehensible documentation
- Presentation of work results .
Self-competence:
- Assessment of own work results .
- Collaboration with other actors from the study/professional field environment.
Social competence:
- Ability to work in a team with developers and (as far as possible) users, especially: to present work results, to lead and moderate meetings and to resolve conflicts.
Professional field orientation:
- Working on practically relevant tasks from the field of healthcare .
Contents
The students have the right to suggest a project topic. The project should preferably be carried out outside the university or within the framework of a practice-oriented research project. Group work is desired.
The specific knowledge directly required in the projects will be taught in block courses if necessary.
Regular project meetings should give students the opportunity to acquire the above-mentioned teamwork skills by practicing them. In particular, quality assurance should be practiced by presenting results from analysis, design and implementation. The computer science knowledge, skills and abilities already acquired should be applied and consolidated and expanded in a problem-oriented manner.
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
- Project work with oral examination
- Presentation
Requirements for the awarding of credit points
- successful project work
- successful presentation
Applicability of the module (in other degree programs)
- Bachelor of Business Informatics
- Bachelor of Medical Informatics
Literature
Muss von den Studierenden selbst in Bezug zum gewählten Thema der Projektarbeit ermittelt werden.
Übergreifend:
- Wissenschaftliches Arbeiten - Wissenschaft, Quellen, Artefakte, Organisation, Präsentation - Helmut Balzert, Christian Schäfer, Marion Schröder - W3L, 2. Aufl., 2011
9. Semester of study
Bachelorarbeit- PF
- 0 SWS
- 15 ECTS
- PF
- 0 SWS
- 15 ECTS
Number
103
Duration (semester)
1
Self-study
450h
Learning outcomes/competences
Contents
The bachelor thesis typically consists of the analysis, in which the requirements are primarily determined, and the design, which discusses the alternative solutions and maps the requirements to the available technology. In addition, there is usually an implementation of particularly important aspects of the design. The implementation alone does not provide sufficient opportunities to apply computer science methods and findings and is therefore not sufficient for a Bachelor's thesis. The Bachelor's thesis includes a work plan, which students draw up and agree with their supervisors. Such a plan offers opportunities to apply the project management skills acquired in the project and is an important prerequisite for successfully completing the required work in the specified time.
Organization:
Students have the right to suggest a topic. The work can also be carried out outside the university. Group work is possible.