IS580 KNOWLEDGE, DISCOVERY AND MINING
| Course Code: | 9010580 |
| METU Credit (Theoretical-Laboratory hours/week): | 3(3-0) |
| ECTS Credit: | 8.0 |
| Language of Instruction: | English |
| Level of Study: | Masters |
| Course Coordinator: | Prof.Dr. NAZÝFE BAYKAL |
| Offered Semester: | Fall or Spring Semesters. |
Course Content
The course introduces principles and techniques of data mining and knowledge discovery. It emphasizes the advantages and disadvantages of using these methods in real world systems and provides hands-on experience. Its technical focus is on qualitative and quantitative knowledge based systems and learning systems. Topics include key issues of data mining and machine learning, decision trees, artificial neural networks, Bayesian learning, instance based learning, expert systems, fuzzy systems, and genetic algorithms..