This course allows the introduction of material relating to Current advances in artificial intelligence topics, and technology. The course will focus on artificial neural networks, expert systems and machine learning, which are essential components of computational and statistical methods, and theoretical computer science. The course will also discuss recent applications of machine learning, such as data mining, face and speech recognition, and text and web data processing
Computer Science - 144 CRs
Russell S. and Norvig P., Artificial Intelligence: A modern Approach, Prentice-Hall, 3rd Edition
content serial | Description |
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1 | Introduction |
2 | Genetic Algorithms. |
3 | Genetic Algorithms Applications |
4 | Partitioning Clustering Techniques Part I |
5 | Hierarchical Clustering Techniques Part I |
6 | Hierarchical Clustering Techniques Part II |
7 | 7-th week exam |
8 | Density Based Clustering |
9 | Applications of Data Clustering |
10 | K Nearest Neighbour Algorithm |
11 | Recommendation Engines |
12 | 12-th week exam |
13 | Decision Trees |
14 | Applications of Decision Trees |
15 | Revision |
16 | Final exam |
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