Students will be able to understand and explain the functioning of the elementary components of an operating system: process and thread management, mechanisms for communication and synchronization. Furthermore, students will be able to evaluate advanced computer structures.

• implement system programs on the basis of system calls
.
• implement concurrent applications with processes and threads.
• differentiate the means of inter-process communication.
• recognize the problems of race conditions, select suitable synchronization mechanisms and avoid deadlocks.
to be able to name advanced aspects of computer structures such as multiprocessor systems and outline their implications for operating system structures using examples.

Social skills:

• Solving programming tasks in groups of two
• Presenting the results to the supervisor

Technical and methodological competence:

The students can:

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

Self-competence:

The students can:

• define the scope of a project
• determine the activities of a project - including their duration, interrelationships and resources
• set up a project plan (e.g. Gant chart, network diagram) and determine the costs of a project
• monitor and control the execution of a project
• identify and assess the risks in a project
• explain the skills required in a project

Social skills:

The students can work in a team:

• clarify the scope of a project
• create a stakeholder analysis with a communication concept for stakeholders
• identify and assess the impact of a project

Professional field orientation:

The students can:

• describe the role of project management in an organization
• plan and implement a small project independently using the tools they have learned

Management and project management

• Concepts and examples
• Project types (IT, CCI, software, integration, )
• Standards and mainstreams in project management
• Project management processes
• Competencies in project management

A project and its environment

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

Project planning

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

Project monitoring and project control

• Project controlling
• Date monitoring
• Cost monitoring

Risk management in projects

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

Case study with IT projects

• PMI: PMBOK - aktuelle deutsche oder englische Ausgabe.
• Schelle, Heinz; Ottmann, Roland; Pfeifer, Astrid: Projektmanager, GPM aktuelle deutsche oder englische Ausgabe.
• Harold Kerzner: Project Management, 10. englische Ausgabe,2009.
• Manfred Burghardt: Projektmanagement, Siemens, 8. Auflage, 2008.

Students are familiar with methods and algorithms for extracting knowledge from structured and unstructured data. They understand the importance of purpose-oriented data collection, processing and analysis for business decisions and for improving production and work processes.

Technical and methodological competence:

• Understanding and recognizing the discipline of data science at the interface of computer science, statistics and domain knowledge
• Understanding and applicability of elementary methods and algorithms of data management, data analysis and implementation in decision support
• Development and ability to ask the right questions for a successful data science project

Social skills:

• Development of verbal skills and communication skills in a team

The ability to operate and optimize a secure, available, environmentally friendly and efficient IT infrastructure, including the associated processes and services, for the respective company needs.

• Determining processes and measures for the operation, maintenance, further development and management of IT systems
• Implementing the necessary measures for designing IT in line with the company's objectives
• Applying current reference models for IT operations
• Modeling the structure and flow of internal and inter-company information processing and the underlying systems from different perspectives
• Evaluating IT systems according to the criteria of cost, availability, security and environmental compatibility
• Designing the operation of IT systems with the help of contemporary methods in terms of availability, security, costs and environmental compatibility, both organizationally and technologically
• Differentiating between the standardization of IT services and IT consumption
• Selecting suitable metrics to determine IT effectiveness
• Creating a basic process for IT requirements management
• Applying IT workplace management methods
• Conducting an analysis of IT assets
• Recognize interactions between different processes of the business
• Selecting suitable tools for change and release management
• Recognizing the need for a comprehensive authorization concept
• Identifying suitable tools for user support/user support
• Differentiating between different options for managing the IT catalog and service catalog as well as the service level agreements (SLA)
• Creating a requirements profile for current IT concepts such as Bring your own device (BYOD) and Bring your own technology (BYOT)
• Conducting capacity and availability management
• Evaluating and analyzing the IT key figures determined

Interdisciplinary methodological expertise

• Selecting suitable communication structures for service and support processes/structures
• Knowing methods for monitoring and optimizing systems
• 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

• Know IT processes in the context of IT infrastructure operation and optimization
• Knowing roles and responsibilities within IT infrastructure management, support and IT controlling
• Selecting and using suitable models, concepts and tools

Systematically eliminate faults in IT operations. Monitor the time and consumption behavior of an application in productive operation

Technical and methodological competence:

• Differentiating between faults and problems
• Selecting suitable metrics to determine service quality
• Creating a basic incident management process
• Identifying the main causes of incidents
• Applying error analysis and problem solving techniques
• Conducting a systematic error analysis
• Recognizing interactions between different processes of the operation
• Selecting suitable tools for incident and problem management
• Recognize the need for monitoring
• Identifying suitable measurement sections
• Conducting instrumentation
• Differentiating between different options for summarizing and visualizing measurement data
• Selecting a historization concept for measurement data
• Designing dashboards
• Evaluating measurement series
• Integration into IT operations

Interdisciplinary methodological competence:

• Systematic prioritization of activities
• Selecting suitable communication structures
• Knowing error cultures (human factor in stressful situations)

Professional field orientation:

• Know IT processes in the environment of incident and problem management
• Knowing roles and responsibilities within IT processes
• Selecting and using suitable tools

The Internet of Things (IoT) is a fundamental building block for digitalization and the emerging information society. This course provides insights into key IoT technologies, including embedded systems, networks and cloud computing. In the selection of use cases and technologies, the course focuses on the area of edge computing. In this area, students will learn about latency analysis and optimization in distributed systems. The course also provides hands-on experience with IoT and edge computing technologies through focused team projects and homework.

• Knows concepts and architectures of embedded real-time systems
• Knows the most important aspects of real-time networking
• Get an overview of cloud computing and selected cloud platforms

6.2 Skills

• Can implement, deploy and test simple IoT systems
• Can set up and use a cloud system
• Can analyze E2E latency in distributed systems

6.3 Competence - attitude

• Can design a simple IoT system for specific requirements
• Can structure an IoT development project in terms of function and time
• Can propose and implement measures to reduce latency in a distributed system

1. Introduction
2. Real-time embedded systems
3. Real-time networking
4. Cloud Computing
5. Edge Computing

• Peter Marwedel: Embedded System Design, 2nd Edition, Springer, 2011
• Thomas Erl, Zaigham Mahmood, Ricardo Puttini, Cloud Computing, Prentice Hall, 2013
• Dimitrios Serpanos, Marilyn Wolf, Internet-of-Things (IoT) Systems: Architectures, Algorithms, Methodologies, Springer, 2018
• Arthur M. Langer, Analysis and Design of Next-Generation Software Architectures: 5G, IoT, Blockchain, and Quantum Computing, Springer, 2020
• Giacomo Veneri, Antonio Capasso, Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0, Packt Publishing, 2018
• Perry Lea, IoT and Edge Computing for Architects: Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security, 2nd Edition, Packt Publishing, 2020
• Fadi Al-Turjman (Editor), Edge Computing: From Hype to Reality, Springer 2018
• S. Balamurugan, Principles of Fog and Edge Computing: With Applications and Case Studies, Scholars Press, 2018

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
.

Knowledge

• Know relevant home automation systems and standards
• Knows intelligent building concepts (e.g. BIM)
• Knows relevant trends and projects in smart cities
• Aware of critical restrictions, in particular security issues

Competencies

• Can design concepts for smart home / smart building / smart city systems
• Can implement IoT, cloud and software components in such systems
• Can use state-of-the-art tools and systems (e.g. KNX)
.
• Can select IoT and cloud platforms according to smart home / smart building / smart city requirements

Competence - attitude

• Can discuss smart home / smart building / smart city systems with experts
• Can lead cross-domain design in this domain

1. smart home

1.1 Home automation

1.2 Standards and bus systems (e.g. KNX)

1.3 Energy and mobility in smart home systems

1.4 Ambient assisted living

2. intelligent building

2.1 Building information systems (BIM)

2.2 Protection and security in intelligent buildings

2.3 Facility management and smart building

3. smart city

3.1 Smart city concepts and relevant trends

3.2 Integration of logistics, energy, supply and mobility

3.3 Involvement of interest groups and citizens

3.4 Case study: Smart City Alliance Dortmund

Know:

• Practical problems in software development or system integration projects

Application:

• Practical application of methods and procedures from software engineering (courses Software Engineering A,B,C and possibly D, practical phase programming) or network engineering and system integration (courses IT Landscape - Planning and Implementation, IT Landscape Operation and Control, practical phase IT Architecture).
• Domain-specific use of the acquired programming and/or scripting language skills
.
• Use of a software or script development environment with tools that are used in the individual development phases.
Implementation of a network concept or IT system integration
• Evaluation of the course of the project from a Business Studies perspective
.

Expert knowledge

• Students can describe the subject of computer science and its significance for society
.
• The students understand that technology design and appropriation are social processes and can relate this understanding to their own projects and current social IT topics.
• Students are familiar with theories and concepts of the socio-technical perspective and can describe their contribution to the success of IT projects.
Students can name and describe relevant representatives of computer science and actors in the field of computer science in our society.Students know facts about current, socially significant IT topics and can discuss them critically.

Self-competence

• Students can address their responsibility as computer scientists
.
• Students begin to reflect on their own role as computer scientists
.

Social competence

• Students are sensitized to the impact of IT on an individual and societal level
.

Professional field orientation

• Students are aware of the importance of social processes for the success of IT projects
.

Bücher, Artikel und Statuten

• ACM. 1992. ACM Code of Ethics and Professional Conduct. Available: http://www.acm.org/about-acm/acm-code-of-ethics-and-professional-conduct; CONTENTS [Accessed 2. Mai 2021].
• ACM. 2015. Software Engineering Code of Ethics and Professional Practice [Online]. Available: https://ethics.acm.org/code-of-ethics/software-engineering-code/ [Accessed 2. Mai 2021].
• GI. 2018. Die Ethischen Leitlinien der Gesellschaft fu r Informatik e.V. Deutschland. Available: https://gi.de/fileadmin/GI/Allgemein/PDF/GI_Ethische_Leitlinien_2018.pdf [Accessed 2. Mai 2021].
• BAUMS, A., SCHÖSSLER, M. & SCOTT, B. (eds.) 2015. Kompendium Industrie 4.0: Wie digitale Plattformen die Wirtschaft verändern und wie die Politik gestalten kann, Berlin.
• GLASER, T. 2009. Die Rolle der Informatik im gesellschaftlichen Diskurs. Informatik Spektrum, 32, 223-227.
• KIENLE, A. & KUNAU, G. 2014. Informatik und Gesellschaft - eine sozio-technische Perspektive, München, Oldenbourg.
• LOLL, A. C. 2017. Akteure im Bereich Informatik und Gesellschaft. Informatik Spektrum, 40, 345-350.
• MÜLLER, L.-S. & ANDERSEN, N. 2017. Denkimpuls Digitale Ethik: Warum wir uns mit Digitaler Ethik beschäftigen sollten Ein Denkmuster. Available: http://initiatived21.de/app/uploads/2017/08/01-2_denkimpulse_ag-ethik_digitale-ethik-ein-denkmuster_final.pdf [Accessed 2. Mai 2021].
• RAHWAN, I., BONNEFON, J.-F. & SHARIFF, A. 2017. The Moral Mashine [Online]. Available: http://moralmachine.mit.edu/hl/de [Accessed 2. Mai 2021].
• SOUROUR, B. 2016. The code I m still ashamed of. freeCodeCamp. https://medium.freecodecamp.org/the-code-im-still-ashamed-of-e4c021dff55e [Accessed 2. Mai 2021].

Webseiten

• https://gi.de
• https://netzpolitik.org
• http://humanetech.com
• https://irights.info

In this module, practical problems and solutions in IT landscape planning and implementation are dealt with in a practical project.

Technical and methodological competence

• Practical application of methods and procedures from systems engineering (course Web Technologies and Scripting Languages, course RuB1+2, course IT Landscape Planning and Implementation, course IT Landscape Operation and Control)
.
• In particular, the practical application and consolidation of the techniques learned:
  • Target group-oriented presentation,
  • Project management (project plan, project monitoring, ...),
  • Quality assurance
  .
• Application-specific use of the acquired programming language skills.
• Use of selected tools that are used in the individual implementation phases.

Self-competence

• The student can present ideas and proposed solutions in writing and orally, the independent presentation of solutions contributes to the development of self-confidence/professional competence

Social competence

• Working in a team with self-determined influence on the processes of division of labour and the practicalization of tasks, combined with taking responsibility for certain parts of the development and conducting subject-specific discussions as an equal discussion partner in a team.

Secure handling of advanced network technologies in wide area, data center and mobile communication applications.

Specialist and methodological skills:

• Application of suitable planning procedures for access, distribution and wide area networks
• Be able to carry out analysis of logical network structures
• Apply network architecture concepts for data centers
• Understanding of new network technologies and their application areas
• Ability to assess commercial product offerings and use them appropriately

Interdisciplinary methodological competence:

• Being able to independently evaluate complex problems
• Be able to establish the relationship between practical issues and theoretical solution concepts

Literatur:

• Computer Networking Problems and Solutions, Russ White and Ethan Banks, Addison-Wesley, 2017
• E-VPN in the Data Center, Dinesh G. Dutt, O'Reilly Media, 2018
• Network Routing, Deep Medhi and Karthik Ramasamy, 2nd Edition, Morgan Kaufmann, 2017

Begründung zur Teilnahmeverpflichtung:

Die Studierenden sollen durch die Lehrveranstaltung in die Lage versetzt werden, verschiedene Projekt-, Software-, und Netztechniken 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.