Artificial Intelligence - Methods and Applications

About this programme

Modern intelligent systems are transforming the daily life of society. These kind of systems are designed and implemented considering Artificial Intelligent (AI) models and algorithms. This course aims to present different AI theories and algorithms in order to give a solid background in the area, as well as practical knowledge about how to implement real intelligent systems. The main theme of the course is theories and algorithms from classical AI. During the course, the students will acquire knowledge about different paradigms of AI, e.g. logic-based and data-driven methods as well as rational intelligent agents. The course consists of two parts: Part 1, theory, 4.5 credits Topics covered: Part 2, practice, 3 credits. In the laboratory part some of the theories and techniques discussed in the theoretical part are put into practice. Your message goes to Infocenter, and they’ll make sure it gets to the right person – so you get the best and most relevant reply.