Course detail
Artificial Intelligence in Sport
CESA-SUINAcad. year: 2023/2024
The course is focused on the commonly used methods from the artificial intelligence area: artificial neural networks, fuzzy logic and fuzzy inference systems, and cluster analysis. The theoretical (basic principles of the methods) and practical (application of methods for solution of classification, regression, or clustering tasks) aspects are studied. Theory is discussed in direct connection with practical examples. All computational techniques are learned during PC exercise using Matlab. This course prepares candidates for the sole use of the methods in their scientific or routine work.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
Generally:
- obligatory computer-lab tutorial (missed labs must be properly excused and can be replaced after agreement with the teacher)
- voluntary lecture.
Aims
Candidates will get knowledge and skills in area of artificial intelligence applications. He will be competent to apply some widespread methods for real tasks solving, naimly to process and analyse data.
During written examination, it is verified, whether the student is able to:
- discuss basic terms from artificial intelligence area
- describe basic methods in this area
- discuss advantages and disadvantages of particular methods
- select and apply appropriate tools to solve the task
- estimate the quality of obtained result and present it in a proper way
- interpret obtained results
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
- Programme SPC-STC Bachelor's 3 year of study, winter semester, compulsory
Type of course unit
Elearning