13M081VINT - Artificial Intelligence
| Course specification | ||||
|---|---|---|---|---|
| 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 | |||

