Teaching
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Introduction to Artificial Intelligence (IAI/ZUM) |
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Introductory course in artificial intelligence (BI-ZUM). The course covers essential concepts necessary for further study of artificial intelligence. Suitable for undergraduate students.
The course covers the following topics among others:
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References: The course is usually scheduled in summer semester. Lecture slides and additional information can be found on: Course Pages. Overview of attendance and activity points of students at my seminars is listed on a separate page (password protected). |
Artificial Intelligence Advanced (AIA/UMI) |
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Advanced course in artificial intelligence (NI-UMI). The course covers in-depth selected topics in artificial intelligence. Suitable for master students.
The following topics will be covered among others:
The course is provided in the Czech language and is accompanied by a seminar. Attandants can chose one of several seminars taught in Czech.
References: The course is usually scheduled in winter semester. Lecture slides and additional information can be found on: Course Pages. Overview of attendance and activity points of students at my seminars is listed on a separate page (password protected). |
Neural Networks and Computational Intelligence (NNC/NSV) |
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Advanced course in neural networks and related topics (PI-NSV). The course focuses on selected topics in neural networks and computational intelligence. There are no regular lectures for this course. Students consult their progess with the supervisor several times per semester instead. The course is suitable for doctoral students.
The following topics are covered by the course:
References: Additional information concerning the course can be found on: Course Pages. Students can enroll in the course in summer semester. |
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