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Course detail
FEKT-MPC-UINAcad. year: 2020/2021
The course discusses the basic methods and subdomains of artificial intelligence, namely, machine learning, the structure and activity of knowledge systems, optical information processing, and approaches to the training and application of artificial neural networks.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
specialization AUDM-TECH , 1 year of study, winter semester, compulsory-optionalspecialization AUDM-ZVUK , 1 year of study, winter semester, compulsory-optional
Lecture
Teacher / Lecturer
Syllabus
Exercise in computer lab