Knowledge and understanding

•  name and explain key technical vocabulary from IT and technology .
• describe technical objects, systems and processes precisely in Englishhe describe.

Use, application and generation of knowledge

• structure technical content appropriately for the target group(introduction - main part - conclusion) and  transfer it into an understandable presentation .
• Suitable visualizations (e.g. diagrams/tables) to support technical statements  statements use.
•  Summarize technical information concisely together (e.g. abstract/handout/slide-text) and  put them into presentation materials integrate.

Communication and cooperation

• present technical content correctly and comprehensibly in English .
• an English-language technical discussion lead by asking questions, arguing and giving feedback.

Scientific self-image / Professionalism

• Fundamental principles of scientific work in English apply by citing and citing sources correctly.
• the own linguistic and technical presentation reflect and  further develop this with the help of feedback develop.

After successful participation in the module courses and completion of the course-related project, students will be able to design and implement database applications with relational databases and optimize their performance. Subject and methodological skills:

•  Model object-oriented extensions using EER models and implement them in relational databases.
Discuss the limitations of the relational database model using examples.
• Implement complex user views and stored procedures for exemplary application scenarios.
Design and implement database applications in Java.
• 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.
Evaluate performance optimization options and apply SQL tuning methods.

Social skills:

• Developing, creating, communicating and presenting database applications in small groups

 

Database implementation

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

Development of database applications

• Data modeling (EER model and logical design of object-oriented concepts)
• Limitations of the relational model and alternative database models
• Ensuring data integrity and data protection (view hierarchies, stored procedures, triggers)
• Conception, design and implementation of database applications in JAVA

Knowledge and understanding

Students understand basic concepts of differential equations, in particular methods for solving first-order differential equations and higher-order linear differential equations with constant coefficients. They know the basic ideas of Laplace and Fourier transforms, generalized derivatives and central concepts of numerics. In addition, they understand basic concepts of algebra, in particular equivalence classes, groups, rings, polynomial rings and the concept of divisibility.

Use, application and generation of knowledge

Students are able to select and apply suitable solution methods for given differential equations. They can calculate Laplace and Fourier transforms and their inverses and use them to solve differential equations. They can determine generalized derivatives and use the fading property to calculate integrals.

Communication and cooperation

Students can present mathematical problems and solutions precisely, justify calculation methods and document and communicate results professionally.

Students develop an understanding of mathematical modeling, of the importance of numerical approximation methods for problems that cannot be solved analytically and of structured and correct work in mathematics. They are able to independently familiarize themselves with new mathematical methods and apply them in a reflective manner

• First-order differential equations
• Higher-order linear differential equations with constant coefficients
• Laplace transform
• Fourier transform
• Newton method and numerical integration
• Gradient descent method
• Numerics of differential equations
• Equivalence classes, groups, rings, polynomial rings
• Divisibility and prime numbers, Euclid's algorithm and Diophantine equations
• Chinese remainder theorem, Euler's phi function

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.

• 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

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

Introduction to the implementation of software projects with a special focus on the early phases of development and modeling of software-based solutions with the help of creative methods (e.g. design thinking) and the methods of requirements engineering. Consideration of the integration of AI-based modules in the development process and in the design of the software project, taking into account social implications and regulatory framework conditions.

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
• Overview of the consequences of digitalization and digital transformation with a special focus on the effects in the area of software engineering

1. Knowing and applying innovation methods
2. Be able to integrate AI-based modules into the development process

• a) Impact on the development process
• b) Consideration of regulatory framework conditions
• c) Analysis of social implications

• Describe the methodological approach in object-oriented analysis
• Know and apply 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

• General basics of software engineering (motivation, definitions, goals,...)
• Procedure models (classic to agile)
• Fundamental terms, phases, activities and procedures in the context of requirements engineering
• Digitalization, change and creative methods in the context of software engineering
• Peculiarities of the integration of AI-based modules
• Fundamental terms, methods and notation in the context of object-oriented analysis (OOA) and domain-driven design (DDD)
• Object-oriented analysis with UML (including 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

• 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.
• Rupp et. al. (2012): UML 2 glasklar. 4. Auflage, Hanser-Verlag.
• Sommerville, I. (2012): Software Engineering, 9. Auflage, München: Pearson Studium.

Begründung zur Teilnahmeverpflichtung

Die Studierenden erarbeiten in Teamarbeit sowohl kreative Lösungen als auch formale Beschreibungen für konkrete Fragestellungen und UseCases aus der Industrie. Dabei werden Sie von den Lehrkräften begleitet und gecoacht. Um die dabei gemachten Erfahrungen zu analysieren und die sich daraus ergebenden Lernziele zu erreichen ist eine Mindestanwesenheitspflicht im Praktikum erforderlich.

Knowledge and understanding: Upon completion of this module, students will be able to

• name the central basic principles and concepts of the WWW (e.g. client-server, HTTP) and the Internet (e.g. protocols) and classify them in the context of web applications,
• distinguish between client-side and server-side web development techniques,
understand and explain the syntax, semantics and concepts of the central technologies of the web platform (HTML, CSS and JavaScript), and
• recognize basic, technology-independent architectural aspects of web applications (e.g. model-view-controller, event-driven and asynchronous programming) and transfer them to specific technologies.

Use, application and generation of knowledge: After completing this module, students will be able to

• specify the structure of a web interface using HTML in a semantically correct and accessible way,
implement the layout of a web application responsively using CSS,implement client- and server-side logic using JavaScript,
• to use essential web development tools, such as development environments and build management tools,
and thus realize small to medium-sized web applications for specific tasks.

Communication and cooperation: After completing this module, students will be able to

• develop and implement solutions cooperatively in a team, and
• explain and discuss their ideas and solutions, e.g. in the form of short presentations or code reviews
.

Scientific self-conception/professionalism: After completing this module, students will be able to

• apply industry best practices in the field of web development, and
• justify their technical solutions for typical tasks in web development
.

Module description: 
In this module, students gain an overview of the central technologies of the web platform, which forms the basis of modern web applications. After completing the module, they will have mastered the central principles and concepts of these technologies and will be able to use them to implement small to medium-sized web applications for specific tasks.

Module structure:
The module covers the following topics:

1. Overview of the central concepts and technologies of the WWW and the Internet (e.g. client-server architecture, protocols and standards such as TCP, IP, DNS, URL, HTTP)
2. Client-side concepts and technologies for the development of web applications:
   1. HTML (incl. semantics, accessibility)
   2. CSS and responsive web design
   3. JavaScript and browser APIs (e.g. DOM, AJAX)
3. Server-side concepts and technologies for the development of web applications:
   1. Basic concepts: event-driven and asynchronous programming, request handling, modularization (e.g. with Node.js)
   2. Structuring using model view controllers 

• Wolf, Jürgen (2023): HTML und CSS: Das umfassende Handbuch, 5. Auflage, Rheinwerk Computing
• Bühler, Peter; Schlaich, Patrick; Sinner, Dominik (2023): HTML und CSS: Semantik - Design- Responsive Layouts, 2. Auflage, Springer Vieweg
• Simpson, Kyle (2015-2020): You Don’t Know JS (Yet), Band 1-6, O’Reilly/Independently published
• Haverbeke, Marijn (2020): JavaScript: Richtig gut programmieren lernen, 2. Auflage, dpunkt.verlag
• Springer, Sebastian (2021): Node.js: Das umfassende Handbuch, 4. Auflage, Rheinwerk Computing
• Tilkov, Stefan; Eigenbrodt, Martin; Schreier, Silvia; Wolf, Oliver (2015): REST und HTTP: Entwicklung und Integration nach dem Architekturstil des Web, 3. Auflage, dpunkt.verlag
• Tanenbaum, Andrew S.; Feamster, Nick; Wetherall, David J. (2024): Computernetzwerke, 6. Auflage, Pearson Studium

• WHATWG (2025): HTML Living Standard, https://html.spec.whatwg.org/
• W3C (2025): CSS Specifications, https://www.w3.org/Style/CSS/specs.html
• Ecma International (2025): ECMA-262: ECMAScript® 2025 language specification, 16th Edition, https://tc39.es/ecma262/
• WHATWG (2025): DOM Living Standard, https://dom.spec.whatwg.org

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.

Technical and methodological competence:

After completing the course, students will be able to

• Describe basic network architectures and protocols: Understand the OSI layer models and can explain how they work using specific examples.
• Apply addressing and routing concepts: You understand the various IP addressing schemes (IPv4, IPv6) and can apply routing protocols (e.g. RIP, OSPF) in typical network scenarios.
• Describe performance and control mechanisms at protocol level: You understand the possibilities and tasks of layer 4 protocols (TCP, UDP) and can explain existing algorithms for efficient communication
• Perform network and protocol analyses: You are proficient in basic analysis and diagnostic procedures and can draw conclusions about possible problems within a network.
• Configure network components and services: You can set up and administer switches, routers and server services (e.g. DHCP, DNS).
• Compare transmission media and technologies: Know the advantages and disadvantages of various wired and wireless technologies (e.g. Ethernet, WIFI) and be able to evaluate them in practical applications. After completing the lecture "Communication and Computer Networks", students will be able to
• Describe basic network architectures and protocols: Understand the OSI layer models and can explain how they work using specific examples.
• Apply addressing and routing concepts: You understand the various IP addressing schemes (IPv4, IPv6) and can apply routing protocols (e.g. RIP, OSPF) in typical network scenarios.
• Describe performance and control mechanisms at protocol level: You understand the possibilities and tasks of layer 4 protocols (TCP, UDP) and can explain existing algorithms for efficient communication
• Perform network and protocol analyses: You are proficient in basic analysis and diagnostic procedures and can draw conclusions about possible problems within a network.
• Configure network components and services: You can set up and administer switches, routers and server services (e.g. DHCP, DNS).
• Compare transmission media and technologies: You will know the advantages and disadvantages of various wired and wireless technologies (e.g. Ethernet, WIFI) and be able to evaluate them in practical use cases.

• After successfully completing the module courses, students will be able to reproduce the central concepts of artificial intelligence and formal knowledge processing, explain their meaning in the context of intelligent systems and illustrate them using examples from various application areas.
• After successfully completing the module courses, students will be able to describe the concepts of intelligent agents and their environments, distinguish between different types of agents, analyze their properties and explain the relevance of these concepts for practical applications.
After successful participation in the module courses, students will be able to explain and implement the basic search methods (breadth-first search, depth-first search, uniform cost search, heuristic search, A* search), evaluate their advantages and disadvantages and demonstrate them using concrete problems.
• After successful participation in the module courses, students will be able to explain the principles of adversarial games and the associated search methods (minimax search, alpha-beta pruning, expectimax) and apply them to examples.
• After successful participation in the module courses, students will be able to formally define Markov Decision Processes, explain and simulate the Value Iteration Algorithm and apply it to concrete decision problems 
.
• After successfully completing the module courses, students will be able to formally describe constraint satisfaction problems, explain the associated solution methods (backtracking algorithm, forward checking, filtering methods), analyze their efficiency and apply them to specific example problems.
• After successfully completing the module courses, students will be able to explain the basic concepts of machine learning, explain the differences between supervised and unsupervised learning and between classification and regression, and understand how neural networks work, including backpropagation.
• After successfully completing the module courses, students will be able to identify ethical issues in the field of artificial intelligence, discuss different perspectives and challenges and critically reflect on the social impact of AI technologies.

After successfully completing the module, students will be able to:

Knowledge and understanding:

• name the problem domains of the languages under consideration
.
• describe the memory management of the languages under consideration
.
• describe different approaches to exception handling.
explain the differences between procedural and object-oriented programming.explain the difference between dynamic and static binding.understand the specifics of multiple inheritance.describe different approaches for the realization of properties.


Use, application and generation of knowledge:

• implement basic dynamic structures
.
• use abstract classes, interfaces and polymorphism in the languages under consideration.
assess the impact of platform dependencies.
• use pointers and references in a targeted manner.
• Use data types as parameters.
• Use operator overloading.


Communication and cooperation:

• present your own programs in the internship
• to discuss programs in the forum (live programming)


Scientific self-image / professionalism:

• to analyze already known concepts in more detail
.
• select an appropriate language for a given problem domain.
• transfer solutions between different languages.

Introduction to the topic of software architecture. Starting with terms, methods and perspectives, via architecture models in UML (distribution and component diagrams) to various architectural styles from classic to modern.

Students learn how to convert OOA and/or DDD models into an implementation. In addition to business logic and design patterns, a key focus is on the classification and targeted use of tools/frameworks from the areas of communication, persistence and interface design.

Technical and methodological expertise:

• 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

• Bass et al: Software Architecture in Practice, 3. Auflage, Addison Wesley, 2012.
• M. Fowler: Patterns für Enterprise Application-Architekturen, 1. Auflage (Taschenbuch), mitp, 2003.
• Gamma et al.: Entwurfsmuster: Entwurfsmuster als Elemente wiederverwendbarer objektorientierter Software, mitp, 2014.
• C. Richardson: Microservice Patterns. 1. Auflage, Manning Publications, 2018.
• Rupp et al: UML 2 glasklar, 4. Auflage, Hanser-Verlag, 2012.
• G. Starke: Effektive Softwarearchitekturen: Ein praktischer Leitfaden, 9. Auflage, Hanser-Verlag,2020.
• Vogel et al: Software-Architektur: Grundlagen Konzepte Praxis, 2. Auflage, Spektrum, 2009.
• E. Wolff: Microservices: Grundlagen flexibler Softwarearchitekturen, 1. Auflage, dpunkt-Verlag, 2015.

Begründung zur Teilnahmeverpflichtung

Die Studierenden erarbeiten in Teamarbeit sowohl kreative Lösungen als auch formale Beschreibungen für konkrete Fragestellungen und UseCases aus der Industrie. Dabei werden Sie von den Lehrkräften begleitet und gecoacht. Um die dabei gemachten Erfahrungen zu analysieren und die sich daraus ergebenden Lernziele zu erreichen ist eine Mindestanwesenheitspflicht im Praktikum erforderlich.

After successful participation in the module courses, students are able to ...

Know and understand:

• to recognize problems in which adaptive systems can be used to solve problems
• to recognize that adaptive systems methods can be used to describe properties of technical but also business and social systems and to analyse their behaviour.
• implement adaptive systems on the basis of the models explained and, if possible, evaluate them.
  
• recognize the limits of adaptive systems.

Deploy, apply and generate knowledge:

• Develop and analyze solutions to problems with adaptive systems.
• Use computational intelligence methods for the design of adaptive systems

• 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

After successfully completing the module, students will be able to:

• Classify and differentiate between individual, standard and industry software.
• Name the advantages and disadvantages of standard software.
• evaluate the current market situation.
• Name criteria for the selection of standard software.
• apply a systematic approach to the selection of standard software.
• Be familiar with procedure models for the introduction of standard software.
• distinguish between different customization options for standard software and evaluate their respective consequences.
• to gain an overview of the complexity of business processes in integrated systems.
• design and implement functional enhancements to standard software.
• understand and apply the importance of communication, conflict and team skills in implementation and customization projects.
• to recognize and understand social problems of an ERP implementation and to deal sensitively with their consequences.
• understand the requirements of different job profiles in the ERP environment (in particular sales, consulting, project management, application development)

• 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;

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)