Applied Image and Signal Processing - Joint Degree

This Joint Degree Master's programme broadens and extends the students' knowledge and provides preliminary scientific training for the profession. It builds on a relevant Bachelor's degree and offers detailed specialised training based on research-oriented teaching. Courses cover introductory and advanced topics from fields such as image and signal processing, as well as their formal and methodological foundations combined with numerous areas of application. The knowledge and skills acquired provide our graduates with flexible access to jobs and encourage innovations in the area of image and signal processing. Writing a Master's thesis serves to prove that the student is qualified to work independently on academic topics based on a correct methodology, thereby laying the ground for further PhD study. In this way, the qualifications for further scientific research are met. In particular, graduates are able to autonomously solve complex problems by applying and developing further image and signal processing systems. This programme explicitely refers to questions of ethics and sustainability (see the corresponding recommendation in § 7(2)) and implicitly also addresses gender questions in order to raise awareness of the role gender plays in research and development of image and signal processing systems, whilst creating a forum in which to explore different approaches to software and hardware by different users. The following learning outcomes will be reached when completing the programme:  

• Students are able to understand the fundamental theoretical concepts of image and signal processing. 
• Students have knowledge about state-of-the-art algorithms, tools, and software libraries in image and signal processing. 
• Students are skilled in solving real-world as well as research oriented problems by applying appropriate hard- and software systems in image and signal processing
• Students are aware of a set of current application fields of image and signal processing and are able to conduct application oriented software projects in those fields. 
• Students are able to read and understand scientific publications in the area of image and signal processing and are capable to implement algorithms which map the publications in working software prototypes.
• Students are able to systematically test and evaluate image and signal processing related applications and are able to write documentation according to commonly accepted scientific working principles.