Aircraft and Vehicle Informatics (B. Sc.)

This module provides the mathematical foundations for computer science and IT security. Topics include propositional and predicate logic, set theory, Boolean algebra, binary words, and logic circuits, as well as the fundamentals of probability theory. Students also study sequences and series, complex numbers, matrices, systems of linear equations, and the basic concepts of differential and integral calculus.

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 while gaining practical experience with development tools, debugging techniques, and structured programming principles.

This module introduces the fundamental concepts of computer science and computer architecture. Topics include algorithms, computability, decidability, and complexity theory, as well as the representation of information in digital systems. Students also explore the structure of modern computers, from digital circuits and the von Neumann architecture to advanced concepts such as caching, instruction pipelining, and multi-core processors.

This module introduces the fundamentals of technical systems in automotive and aerospace engineering. Topics include electronic vehicle architectures, sensors, actuators, driver assistance systems, electromobility, and infotainment systems. Students also learn about navigation methods, aircraft instruments, positioning technologies, and the use of airborne sensors, gaining an understanding of their technical and physical principles.

This introductory project provides foundational skills for academic work and supports a successful start to the Aviation and Automotive Informatics degree program. Students learn research techniques and information sources, work on subject-specific tasks in teams, and present their results. Team-building activities, a guided campus tour, and workshops on learning strategies and time management further support academic orientation and success.

This module develops English language skills in the context of computer science and information technology. Topics include current IT-related subjects, technical vocabulary, and texts from English-language professional and business media. Students practice grammar, listening comprehension, presentation techniques, and business correspondence. Through presentations and discussions, they strengthen their communication skills for international professional and academic environments.

This module provides advanced mathematical foundations for computer science and engineering applications. Topics include differential and integral calculus, Taylor series, numerical integration, and applied analysis. Students also study algebraic structures, linear transformations, eigenvalues and eigenvectors, matrix diagonalization, modular arithmetic, and combinatorial methods.

This module introduces the fundamentals of object-oriented programming using C++. Topics include classes and objects, inheritance, polymorphism, templates, exceptions, input/output, threads, and graphical user interfaces. In the lab, students develop a GUI-based application while deepening their understanding of object-oriented concepts, generic programming, and modern software development techniques.

This module introduces the fundamentals of microcomputer systems and operating systems. Students learn about the architecture and programming of microcontrollers, memory technologies, bus systems, and low-level software development. The course also covers operating system concepts such as processes, threads, synchronization, memory management, input/output, file systems, and virtualization, highlighting the interaction between hardware and software.

This module introduces the methods and processes of professional software engineering. Topics include requirements engineering, software quality, implementation, documentation, and software testing. Students learn both traditional and agile development approaches as well as process and maturity models. The course provides competencies for analyzing, developing, quality-assuring, and systematically implementing software projects throughout the entire software lifecycle.

This module introduces the fundamentals of communication systems in automotive and aerospace applications. Topics include bus systems, network topologies, communication protocols, and mechanisms for medium access control and collision handling. Students explore widely used standards such as CAN, LIN, FlexRay, Ethernet, ARINC 429, and MIL-STD-1553B. The course also covers physical transmission principles and automotive diagnostic communication.

This module provides mathematical methods for analyzing, modeling, and solving engineering problems. Topics include optimization techniques for multivariable functions, statistical methods for data analysis and interpretation, and the fundamentals of probability theory. Students also learn basic concepts and solution methods for ordinary differential equations, which are widely used to model dynamic systems.

This module introduces the fundamentals of modern computer networks and Internet communication. Topics include the structure and operation of networks based on the TCP/IP model, protocols of the application, transport, and network layers, as well as local area networks and physical data transmission. Students gain an understanding of core networking concepts and how information is reliably exchanged across interconnected systems.

This module introduces methods and tools for managing software throughout the entire development lifecycle. Topics include build and version management, continuous integration, software integration, deployment, and DevOps processes. Students learn quality-related requirements, defect management, software documentation, and strategies for software reuse while gaining practical experience with modern software development and management tools.

This module introduces the fundamentals of software design and modern database systems. Students learn how to structure complex software systems, transform requirements into architectures, and develop distributed systems. The course also covers data modeling, data integrity, relational databases, SQL, and transaction management. The focus is on creating robust, maintainable, and efficient software and data management solutions.

This module introduces modern software platforms for automotive functions. Topics include real-time operating systems, ROS/DDS, embedded Linux, AUTOSAR, virtualization technologies, and over-the-air updates. Students learn how to configure, integrate, and operate software across different platforms. Practical exercises provide hands-on experience with current development processes and technologies used in connected automotive systems.

The internship semester enables students to apply the knowledge and skills acquired during their studies in a professional environment. Students select a suitable company in Germany or abroad and work on practical tasks using established methods and techniques. They gain insight into organizational processes and professional practices, further develop their technical and personal competencies, and document their experiences in an internship report.

This post-internship seminar supports the reflection and evaluation of experiences gained during the internship. Students present their activities and results in short presentations followed by group discussions. The course connects practical experience with academic knowledge, explores effective presentation techniques, and strengthens communication, social, and professional skills through discussions, exercises, and role-playing activities.

This module develops competencies in scientific information retrieval and the professional use of academic resources. Students learn research strategies, the use of scientific databases, library services, standards, and patents. The course also covers academic writing, citation standards, reference management, and the responsible use of AI tools, enabling students to critically evaluate and effectively organize information for research and professional practice.

This module develops communication and teamwork skills for professional environments. Students reflect on their expectations, strengths, and areas for improvement in preparation for their upcoming internship. Through personality assessments, group exercises, and role-playing activities, they learn effective communication and conflict resolution techniques. The course enhances teamwork, self-awareness, and professional behavior in a variety of workplace situations.

This module introduces the fundamentals, architectures, and services of cloud computing. Topics include cloud concepts, virtualization, containerization, infrastructure, management, and access mechanisms. Students explore different cloud architectures and deployment models and evaluate them with respect to cost, scalability, and service quality. The course also covers Service Level Agreements (SLAs) and operational aspects of cloud-based solutions.

This module introduces the methods and tools of traditional and agile project management. Students learn how to plan, manage, and control projects from goal definition through implementation, including resource and risk management. Topics include stakeholder management, effort estimation, project controlling, and agile approaches such as Scrum. Group exercises reinforce the practical application of these methods.

This module introduces methods for the development and assurance of safety-critical systems. Topics include reliability and risk analysis, functional safety according to ISO 26262 and IEC 61508, safety assessment, and hardware and software requirements. Students learn techniques such as fault tree analysis, redundancy concepts, coding standards, and process models, applying them to automotive and aerospace systems.

In this lab course, students develop software solutions for automotive or aerospace systems from requirements analysis to testing. They design software architectures, implement and integrate applications on embedded platforms, and connect them to communication interfaces. Additional topics include flight guidance, navigation, and automation. Students verify system requirements through appropriate testing and validation methods.

In this project module, students work in teams on a semester-long project in the fields of automotive engineering or avionics. They follow the complete development process, including analysis, research, selection of methods and tools, implementation, and verification. The course also covers project and configuration management, while the project outcomes are documented in a comprehensive final report.

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.

This seminar systematically prepares students for the completion of their bachelor’s thesis. Topics include academic standards, examination regulations, literature research, and documentation techniques. Students independently select a topic and supervisor, define their research problem, develop an outline and project schedule, and prepare the formal registration of their bachelor’s thesis.

The bachelor’s thesis represents the final academic achievement of the degree program. Students independently investigate a subject-specific problem using scientific methods. This includes problem analysis, the selection and implementation of appropriate solution strategies, and the evaluation and documentation of results. The thesis demonstrates the ability to address complex challenges in a structured and scientifically sound manner.