Artificial Intelligence
Artificial intelligence refers to the part of computer science that deals with perception, thinking, communication and learning in intelligent systems. Intelligent systems are part of our society and are indispensable (e.g. smartphone, autonomous vehicles). The study profile focuses on the fundamental algorithms in the field of machine learning with application to the individual components of intelligent systems (e.g., language, visual perception, interaction).
Thematically, the area includes: fundamentals in artificial intelligence, search algorithms, machine learning, neural networks/deep learning, knowledge representation, components and applied intelligent systems: speech, language, dialog processing, machine translation, speech translation, vision, video, image processing, image/video interpretation, pattern recognition, perception, multimodal systems, human-computer interaction, interaction and interface design.
German name: Künstliche Intelligenz
Designated Speaker / Deputy Speaker: Prof. Dr. Jan Niehues / TT-Prof. Rudolf Lioutikov
Special competencies acquired in the profile:
- Graduates are familiar with fundamentals, methodological approaches and applications from different areas of artificial intelligence.
- They can apply artificial intelligence in system solutions.
- Master thesis from the subject area of artificial intelligence.
- The advanced mandatory module Advanced Artificial Intelligence (former: Fortgeschrittene Künstliche Intelligenz / Kognitive Systememust) be taken. If the advanced mandatory module has already been examined in the Bachelor, more CP from the event list must be taken.
- At least 39 CP from the event list must be taken.
- A total of at least 45 CP must be taken.
A bilingual list of eligible courses can be found on the German page.