Computer Science

The study programme conveys expertise in key areas of computer science including theoretical foundations, practical skills, and application areas. This includes the areas of software engineering, information systems, databases, machine learning, communication, security, algorithms and programming. Students select a study focus (visual computing, embedded systems or complex and intelligent software systems) where students gain in-depth knowledge and can choose from a wide-ranging catalogue of modules. In addition, students acquire non-technical skills ranging from presentation techniques and teamwork to management and leadership skills. (1) Visual Computing: Visual computing comprises disciplines handling images and 3D models, i.e. computer vision, computer graphics, image processing, machine learning, visualisation, and virtual/augmented reality. Systems deal with the acquisition, processing, and analysis of visual information as well as the generation of images from data. Application areas include quality control, medical image processing, visualisation, autonomous robotics and multimedia systems. (2) Embedded Systems: Embedded systems include applications such as consumer electronics, industrial control, and transportation systems, which act as technology catalysts because of stringent timing and dependability requirements. The embedded systems market is expected to grow significantly over the next decade, and it is expected that many embedded systems will be connected to the Internet, form cyber-physical systems, and include embedded AI. (3) Complex and Intelligent Software Systems: This study focus covers the body of knowledge and core competences that build the foundation for all types of modern software systems. This includes techniques for software development and machine learning, software maintenance and evolution, software quality assurance, but also crucial social skills, modern project management, creative thinking and effective problem solving. In all study foci, students benefit from the close collaboration between electrical engineering and computer science and a tight link to research projects. For embedded systems, both disciplines contribute to courses on specific knowledge including key areas such as hardware/software design, computer architectures, real-time systems, dependability, security, operating systems, modelling and application areas (e.g. automotive, industrial control). In the context of visual computing, the tight link to sensor development is an essential added value, including key areas like face detection, online range data processing with range cameras such as the Kinect, and multimodal pattern recognition. The university participates in and leads research projects. Master's students are welcome to become involved in these projects and excellent students get the opportunity to pursue a PhD in one of these projects in Siegen. The Master's programme in Computer Science at the University of Siegen includes different types of modules and is structured as follows: 1. Four core modules (6 CP each). Choose from: Embedded Systems, Computer Architecture, Modelling and Animation, Parallel Processing, Algorithms, Advanced Logic, Software Engineering, Database Systems 2. Practical and research-oriented modules: Cutting Edge Research (6 CP), Scientific Working (including seminar, 9 CP), project work (15 CP) 3. Six specialised modules (6 CP each) 4. Master's thesis (30 CP) Core modules convey a broad spectrum of relevant topics for computer science including theoretical, practical and technical computer science. Practical modules convey basic practical skills such as capabilities in software and hardware development as well as practical activities that are close to future occupational areas. The practical modules establish key qualifications that are required for teamwork in typical projects of the information technology industry. Specialised modules convey profound scientific knowledge in the area of the