Computer Science (B. Sc.)

This introductory project supports students in their transition to university studies and fosters teamwork and social networking. Students create their first applications using Scratch, gain practical experience with virtualization and Linux environments, and learn basic system configuration and programming concepts. A library introduction and information literacy training provide essential skills for academic study.

This module introduces the fundamentals of imperative programming and software development using the C programming language. Topics include data types, control structures, functions, memory management, arrays, pointers, and dynamic data structures. In the lab, students develop an interactive game in a Linux environment and gain practical experience with development tools, version control, build systems, and professional software engineering practices.

This module introduces the architecture and operation of modern computer systems. Topics include data representation, instruction set architectures, the von Neumann model, memory systems, input/output, and bus architectures. Students also explore advanced concepts such as caching, pipelining, superscalar processing, and multicore architectures. Lab exercises provide practical experience with assembly language programming.

This module provides the mathematical foundations for computer science and engineering. Topics include propositional and predicate logic, set theory, Boolean algebra, sequences and series, complex numbers, matrices, and systems of linear equations. Students also learn the fundamentals of differential calculus and are introduced to differential equations for modeling technical systems.

This module introduces the fundamental principles of physics and electrical engineering relevant to technical systems. Topics include forces, electric charge, the structure of matter, direct and alternating current, and electric and magnetic fields. Students also learn the basics of circuit design and digital electronics, developing an understanding of physical and electrical processes in engineering applications.

This module develops English language skills in technical and scientific computing contexts. Students work with English-language technical literature, media sources, and academic publications while expanding their IT vocabulary. The course covers grammar, listening comprehension, presentation skills, business communication, and the effective use of online resources for professional and academic collaboration in international environments.

This module introduces the fundamentals of object-oriented programming using Java. Topics include classes, inheritance, polymorphism, memory management, generics, collections, interfaces, exceptions, and concurrency. Students also learn how to develop graphical user interfaces and handle asynchronous events. In the lab, the acquired knowledge is applied through the implementation of a media player with a graphical user interface.

This module provides advanced mathematical foundations for computer science and engineering. Topics include determinants, eigenvalues and eigenvectors, properties of mappings, and modular arithmetic with practical applications. Students also study integral calculus, power series, and introductory numerical methods used to solve mathematical and computational problems.

This module introduces the fundamentals of modern operating systems. Topics include system programming, processes and threads, scheduling algorithms, memory management, and synchronization and communication mechanisms. Students also explore file systems and key concepts of parallel processing, gaining an understanding of how modern software systems are managed and executed.

This module introduces the foundations and technologies of human-computer interaction. Students explore a wide range of 2D and 3D input and output devices, including touchscreens, speech interfaces, gesture control systems, virtual reality technologies, and haptic interfaces. The course also covers perception principles, design requirements, and current developments in interaction technologies.

This module introduces the fundamentals of computer networks and data communication. Topics include network architectures, transmission methods, Ethernet, wireless LANs, IP, routing, and the transport protocols TCP and UDP. In laboratory sessions, students configure and analyze real and simulated networks, implement essential communication mechanisms, and gain practical skills in network design, operation, and troubleshooting.

This module introduces fundamental algorithms and data structures for the efficient processing of information. Topics include complexity analysis, lists, graphs, trees, hashing techniques, and sorting algorithms. Students learn how to evaluate runtime and memory requirements and how to select and apply suitable data structures and algorithms for different computational problems.

This module introduces the methods and processes of professional software engineering throughout the software lifecycle. Topics include requirements engineering, software architecture, design, implementation, documentation, and testing. In the lab, students apply these concepts through practical assignments and gain experience with UML modeling, architectural design, and black-box and white-box testing techniques.

This module introduces the fundamentals of modern web development. Topics include client-side technologies such as HTML, CSS, JavaScript, and Bootstrap, as well as server-side concepts including PHP, sessions, cookies, AJAX, and REST. Through practical exercises, students develop interactive web applications and gain hands-on experience in implementing modern web architectures.

This module introduces the concepts, methods, and technologies of distributed systems. Topics include modeling, communication, and synchronization of distributed applications, as well as challenges such as consistency, security, and coordination. In laboratory sessions, students implement distributed applications using technologies such as RPC and RMI and gain practical experience in developing communicating software systems.

This module introduces the foundations and methods of artificial intelligence with a focus on knowledge-based systems. Topics include logic programming, knowledge representation, inference techniques, expert systems, and constraint satisfaction problems. Students also learn selected machine learning and pattern recognition methods and apply them to practical tasks such as dynamic gesture recognition.

This module introduces the fundamentals of modern database systems and data management. Topics include data modeling with the Entity-Relationship model, relational databases, data integrity, normalization, SQL, and transaction management. In the lab, students design and implement database schemas, create database queries, and deepen their understanding of advanced database concepts through practical exercises.

This academic seminar develops skills in scientific research and professional communication. Students analyze scientific literature, prepare technical content for different audiences, and present their findings in professional talks. Through discussions, peer feedback, and structured documentation, they strengthen their abilities in presentation, argumentation, software analysis, and academic communication.

This module introduces the theoretical foundations of computer science. Topics include formal languages, grammars, automata, and their classification within the Chomsky hierarchy. Students explore computability and decidability theory, analyze abstract models of computation, and investigate decision problems and the fundamental limits of algorithmic processing.

This module introduces key methods of discrete mathematics for computer science and software engineering. Topics include graph theory, elementary number theory, and order and lattice theory. Students learn mathematical structures, proof techniques, and algorithms and apply them to problems in modeling, optimization, and information processing.

This module introduces the fundamentals and methods of computer graphics. Topics include 2D and 3D graphics, modeling, transformations, projections, visibility determination, lighting, and shading. Students explore modern techniques for image synthesis, texturing, and visualization and gain an understanding of how graphical scenes are represented and processed in interactive applications.

This module introduces traditional and agile project management methods as well as the fundamentals of academic work. Students learn how to plan, manage, and control projects, covering goal definition, risk and stakeholder analysis, resource management, and project controlling. The course also addresses Scrum, academic research strategies, source evaluation, proper citation practices, and the responsible use of scientific literature.

This preparatory internship seminar helps students prepare for their upcoming professional placement. The course focuses on reflecting on personal expectations, strengths, and areas for development while addressing uncertainties related to the workplace. Through group exercises, role-playing activities, and feedback techniques, students develop communication and conflict resolution skills and strengthen their teamwork and professional self-awareness.

The internship enables students to apply the knowledge and methods acquired during their studies in a professional environment. Students work on practical tasks in a company in Germany or abroad, actively participate in teams, and gain experience with modern development tools and processes. A structured work plan and a comprehensive internship report support reflection and the transfer of academic knowledge to practice.

This post-internship seminar supports the reflection and evaluation of experiences gained during the internship. Students present their activities and insights in short presentations followed by discussions of both content and presentation style. Through constructive feedback and peer exchange, they enhance their communication, reflection, and presentation skills.

This module develops competencies in scientific information retrieval and the professional use of academic resources. Students learn research strategies, scientific publishing processes, and the use of library catalogs, specialized databases, standards, and patents. The course also covers academic writing, proper citation techniques, bibliography management, and the practical use of reference management tools.

This module introduces the legal foundations of information technology and digital business models. Topics include contract law, e-commerce, data protection, copyright, domain law, and legal requirements for websites, apps, and online services. Students also explore aspects of cybercrime, legal procedures, and regulatory issues related to modern digital technologies and applications.

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This project module provides hands-on experience in collaborative software development. Students plan and implement a software project using agile methods such as Scrum or Kanban. They work with modern development tools, apply practices including pair programming, test-driven development, unit testing, and CI/CD, monitor project progress, and present the final project results.

This module provides mathematical foundations for the description, analysis, and interpretation of data. Topics include combinatorics, probability theory, descriptive statistics, and inferential statistical methods. Students learn hypothesis testing, confidence intervals, regression and correlation analysis, as well as techniques for investigating relationships and differences within datasets.

This module introduces the fundamentals of business administration and entrepreneurship. Topics include organization, marketing, finance, accounting, investment analysis, innovation management, and business model development. Students explore entrepreneurship and intrapreneurship concepts and apply them in a startup project by developing product ideas, business models, and marketing strategies.

In the sixth semester, students select one of two advanced electives for individual specialization. Embedded Systems and Real-Time Systems focuses on cyber-physical systems, real-time operating systems, and time-critical applications. Parallel Programming covers parallel computer architectures, multithreading, GPU programming, and efficient parallel algorithms for high-performance software systems.

This module introduces the fundamentals and methods of IT security for protecting systems, networks, and applications. Topics include security management, risk assessment, network security, operating system hardening, access control, and secure software development. Students also learn cryptographic techniques, public key infrastructures, and the mathematical foundations of modern security mechanisms and apply them to practical security concepts.

This module introduces fundamental programming paradigms and their theoretical foundations. Topics include procedural, object-oriented, functional, and logic programming, as well as the lambda calculus as the basis of functional languages. Students explore modern languages such as Haskell, Scheme, Scala, and Standard ML and gain experience with evaluation strategies, parser implementation, and the application of functional concepts in mainstream programming languages.

The bachelor’s thesis represents the final academic achievement of the degree program. Students independently formulate a research question and address it using scientific methods and structured problem-solving approaches. The thesis requires the application of research techniques, project and time management skills, and the clear documentation of results. Findings are presented to a professional audience and critically discussed.

This seminar supports students in preparing their bachelor’s thesis. Students identify and refine a suitable topic, coordinate with their examiners, and develop an initial content and project plan. The course covers scientific research methods, including literature review, reproducibility, traceability, proper citation, and plagiarism-free writing. It also strengthens communication and time management skills essential for a successful thesis project.