13M081VINT - Artificial Intelligence
Course specification | ||||
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Course title | Artificial Intelligence | |||
Acronym | 13M081VINT | |||
Study programme | Electrical Engineering and Computing | |||
Module | Applied Mathematics | |||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | ||||
The goal | Familiarize students with basic concepts of artificial intelligence, its subfields and applications in mathematics, computer science and electrical engineering. | |||
The outcome | Student is capable to recognize and solve some electrical engineering problems and computer science problems using appropriate ideas, techniques and methods of artificial intelligence. | |||
Contents | ||||
Contents of lectures | Artificial intelligence - overview of history and application areas. Intelligent systems and problem solving. Knowledge, reasoning, planning. Uncertain knowledge and planning. Automated reasoning and acting. Machine learning and teaching. Communicating, observing and acting - elements of robotics. | |||
Contents of exercises | Solving diverse problems related to the theoretical component of the course. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
3 | 1 | |||
Methods of teaching | Lectures, exercises with solving problems, homeworks, discussions. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 30 | |
Practical lessons | 20 | Oral examination | 0 | |
Projects | ||||
Colloquia | ||||
Seminars | 50 |