Subject: Artificial intelligence for enginnering (17.IM2516 )
Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Mechatronics, Robotics and Automation
The aim of the course is that students obtain knowledge in the fields of artificial intelligence and programming techniques in these areas.
The outcome of this course is to master the fields of artificial intelligence and programming techniques in these areas.
Mathematical logic; Programming language PROLOG; The state space; Production systems; Search strategies; Knowledge representation; Machine learning; Expert systems; Neural networks; Fuzzy logic; Genetic algorithms; Swarm Intelligence; Intelligent agents; Intelligent devices; Intelligent networks; Intelligent systems
Teaching is conducted through lectures and exercises. During the exercises the student is required to do practice-oriented tasks. Knowledge testing is carried out through two tests and the final exam, while before that student has to do all the exercises provided. The final exam is in written form.
| Authors | Title | Year | Publisher | Language |
|---|
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Lecture attendance | Yes | Yes | 5.00 |
| Exercise attendance | Yes | Yes | 5.00 |
| Coloquium exam | No | No | 20.00 |
| Test | Yes | Yes | 10.00 |
| Written part of the exam - tasks and theory | No | Yes | 70.00 |
| Coloquium exam | No | No | 20.00 |
| Test | Yes | Yes | 10.00 |
Prof. Stevan Stankovski
Full Professor
Lectures
Assoc. Prof. Ivana Šenk
Associate Professor
Computational classes
Faculty of Technical Sciences
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© 2024. Faculty of Technical Sciences.