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Artifical Intelligence
- Elective course (16 credits must be selected from this group)
| Semester: | 4th |
| Class hours/week: | 2 lectures | 2 practices |
| Credits (ECTS): | 4 |
| Form of assessment: | Semester mark |
| Course director: | Dr. Balázs TUKORA |
| Course code: | MSM630ANEG |
Description
1) Historical background of modern Artificial Intelligence (AI) systems; Fields of AI applications and the taxonomy of AI sytems; Machine perception, computer vision and hearing; Natural Language Processing; Integrated and General Intelligence systems a) Mathematical basics for AI; Linear algebra; Mathematical analysis; Probability theory b) AI related technologies; Programming basics (Python); Data structures, data preprocessing 2) Overview and comparison of modern AI frameworks 3) State of art application examples in machine learning, deep learning and AI