SI4ES - Expert Systems
| Course specification | ||||
|---|---|---|---|---|
| Course title | Expert Systems | |||
| Acronym | SI4ES | |||
| Study programme | Software Engineering | |||
| Module | ||||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | none | |||
| The goal | Introduce students to the basic concepts and techniques of artificial intelligence and expert systems. During the course, students will study the implementation of the popular models of these types of applications. | |||
| The outcome | Students will be able to recognize a problem that belongs to the field of artificial intelligence and expert systems, and based on their knowledge apply the most appropriate and most effective method for its solution. | |||
| Contents | ||||
| Contents of lectures | Search strategies: algorithms, performance, efficiency, complexity. Game theory. Formal logic. Planning - types and the problem. Knowledge and reasoning in uncertain environment. Bayesian networks. Production systems. Problem-solving strategies. Induction systems. Introduction to machine learning. | |||
| Contents of exercises | Visual simulation of theoretical problems. Solving and demonstrations of practical tasks. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 2 | 2 | 1 | ||
| Methods of teaching | Lectures, presentations, practical exercises, individual work on projects, labs with visual simulations | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 40 | |
| Practical lessons | 0 | Oral examination | 0 | |
| Projects | 20 | |||
| Colloquia | 40 | |||
| Seminars | 0 | |||