Computer Science

English Modules and Classes

Lecturer	Prof. Dr Abdelmajid Khelil
ECTS	5
Semester	Winter and Summer Semester
Module Number	IB765
Admission Requirements	Experience in Software Enigneering and Programming B2 Level in English
Programme Format	On Campus
Objectives	Throughout the course, students: Identify real-world problems and recognise the problems of creating complex solutions using a wide variety of IoT platforms. They are in a position to analyse the environment of the problem and are able to discuss these in advance in cooperation with companies. Acquire knowledge of design thinking, agile project management and the independent implementation of projects is acquired in teamwork. They are able to apply interdisciplinary knowledge, integrate the problem solver into the project in an agile manner and to present the results of their work.
Teaching Content	The cooperating companies offer the students real problems from the most important IoT domains, such as Smart Agriculture, Smart Building, Smart Energy, Smart Production, eHealth, etc. The problem is described in detail using defined application cases. In addition, the aspects of IoT Cloud and IoT Security are also examined. The students are supervised by the lecturer and the coach of the innovation lab.

Lecturer	Prof. Dr Markus Mock
Type of course	lecture
ECTS credits	5
Semester	Winter Semester
Module Number	KI720
Admission Requirements	B2 Level in English
Programme Format	On Campus
Objectives

Lecturer	Prof. Dr Markus Böhm
ECTS	2 (per semester)
Semester	Winter and Summer Semester
Module Number	WIF290
Admission Requirements	--
Format	On Campus
Objectives	Students are motivated to work scientifically and will be able to acquire subject-specific knowledge from the scientific literature and to prepare this knowledge for specific target groups. The course covers four areas: 1. basics of scientific work Students understand the necessity of a scientific approach to problems and are able to understand the basic concepts of scientific work. (e.g. research questions, argumentation logic, writing style, citation) 2. research methods Students are able to apply essential research methods commonly used in business informatics and to assess the basic applicability of these methods for a given problem. In addition, they understand the basics of design-oriented research (Design Science). Furthermore, they are able to conduct a systematic literature study on their own. 3. handling of scientific texts Students can describe the structure of scientific texts, apply reading strategies and assess their basic scientific quality. Furthermore, they can compile, evaluate and compare the core statements of different scientific texts. 4 Presentation and discussion In the area of presentation and discussion, students understand the essential elements of effective presentations and are able to apply them to a lecture. In addition, they are able to apply argumentation strategies for professional discussions and methods for effective discussion moderation. Implicitly, this course promotes the English language level of the students to the level B2.2/C1.1 of the CEFR. Through intensive literature work with English-language scientific texts and their presentation/discussion, they have the ability to understand the main content of complex texts on concrete and abstract topics as well as to participate in specialist discussions in the field of business information systems.

Type of course	Bachelor Thesis
ECTS credits	12
Semester	Winter Semester
Module Number	IB720/KI710
Admission Requirements	B2 Level in English
Programme Format	On Campus
Objectives	In English; supervised by a member of UASL faculty during stay

Type of course	Internship
ECTS credits	28
Semester	Winter + Summer Semester
Module Number	IB500
Admission Requirements	B2 Level in English
Programme Format	On Campus

Type of course	Master Thesis
ECTS credits	30
Semester	Winter Semester and Summer Semester
Module Number	IM 830
Admission Requirements	Minimum 30 ECTS in the Masters course must have been achieved
Format	On Campus - 900h self study
Objectives	In English; supervised by a member of UASL faculty during stay. Students have the ability to independently and methodically work on a complex, practice-oriented computer science topic on a scientific basis and to present the problem and its solution in writing.

Lecturer	Prof. Dr. Peter Scholz
ECTS	5
Semester	Winter Semester
Module Number	IM 120
Admission Requirements	Knowledge acquired in the module Software Engineering 1 (IB061) or an equi- valent module.
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	• Have an in-depth understanding of advanced concepts, methodologies, and techniques in software engineering. • Be able to analyze and optimize complex software development processes. • Apply state-of-the-art design patterns, architectural principles, and agile methodologies to solve real-world software challenges. • Critically evaluate current research topics in software engineering. • Collaborate effectively in interdisciplinary teams to address advanced software development problems.

Lecturer	Prof. Dr. Markus Mock
ECTS	5
Semester	Winter Semester
Module Number	IM 120
Admission Requirements
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	Students learn to develop applications for mobile devices efficiently. They master the entire development cycle from design to implementation and debugging of applications for mobile devices. They will also be able to use the necessary development tools and libraries and transfer software development methods and processes familiar to them from the Bachelor’s degree program to mobile applications. In addition to the development of mobile applications, students are familiar with technologies, device classes, and design patterns of mobile computing and can evaluate them.

Lecturer	TBD
ECTS	5
Semester	Winter Semester
Module Number	IM 270
Admission Requirements	Knowledge acquired in the module Internet of Things (IB764) or an equivalent module; programming skills.
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	• Technical Knowledge: Understand the fundamentals of Edge Computing (EC), the publish-subscribe model, value stream analysis, and Catena-X. • Practical Skills: Design and implement scalable, efficient systems for IIoT applications. • Problem-Solving: Optimize processes using value stream analysis and interoperable data ecosystems with Catena-X. • Collaboration: Work effectively in teams to solve real-world challenges bridging IT and OT in industrial environments.

Lecturer	Prof. Dr. Sandra Eisenreich
ECTS	5
Semester	Winter Semester
Module Number	IM 540
Admission Requirements
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	• Implementing and analyzing causal inference methods using modern machine learning frameworks • Designing and evaluating randomized controlled trials • Identifying and addressing confounding variables in observational studies • Applying techniques for handling distributional shift in machine learning systems • Critically analyzing and presenting current research papers in causal machine learning • Developing solutions that combine causal inference with machine learning approaches

Lecturer	Prof. Dr. Eduard Kromer
ECTS	5
Semester	Winter Semester
Module Number	IM 550
Admission Requirements
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	• Implementing transformer architectures from scratch • Building and optimizing LLM inference systems • Programming for specialized hardware architectures (GPU/TPU) • Developing and debugging compiler optimizations for ML • Implementing distributed training systems • Managing memory efficiently in large-scale ML systems • Designing and optimizing sparse computation techniques • Creating efficient inference pipelines • Handling and optimizing long context length scenarios • Performance profiling and optimization of ML systems

Lecturer	Prof. Dr. Christian Osendorfer
ECTS	5
Semester	Winter Semester
Module Number	IM 560
Admission Requirements
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	• Analyze and model the dynamics of robotic systems. • Design and implement algorithms for trajectory generation, motion planning, and control. • Develop and evaluate solutions for grasping and manipulating objects in complex, real-world settings. • Use state-of-the-art tools and frameworks for robotics development.

Lecturer	Prof. Dr. Hannah Jörg
ECTS	5
Semester	Winter Semester
Module Number	IM 820
Admission Requirements
Format	On Campus - seminar based instruction and accompanying tutorials
Objectives	After successfully completing the module, students will be able to analyse an optimal control problem and, depending on the requirements, formalize it as a static optimization problem in the framework of model predictive control, dynamic programming or LQ control, using a learning procedure if necessary. Students are able to select, apply and further develop a numerical method for solving the static optimization problem.

Lecturer	Prof. Dr. Andreas Siebert
ECTS	5
Semester	Winter Semester
Module Number	IM 830
Admission Requirements
Format	On Campus - presentation of students with guidance of professor
Objectives	Students are able to independently research a complex technical or scientific topic from research-related literature, particularly English-language literature. They can present the topic in a technical lecture using modern media and engage in a discussion about the presentation content with a technically knowledgeable audience. Students are able to distinguish between science and non-science. They understand the most important processes in research and research institutions. They are familiar with the current trends in the changing world of research.