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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


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


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