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BIL616 - Pattern Recognition Applications

Instructor: Assoc.Prof.Dr.Serkan GÜNAL
Teaching Assistants:
Course Book: S. Theodoridis and K. Koutroumbas, Pattern Recognition (4th Edition), Academic Press, 2009.
Grading: ME1(25%), ME2(25%), FE(50%)
Other Resources: R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification (2nd Edition), Wiley, 2001.; S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras, Introduction to Pattern Recognition: A MATLAB Approach, Academic Press, 2010.
Course Outline:
1. Week

- Introduction


2. Week

- Review of Linear Algebra and Probability


3. Week

- Classifiers based on Bayes Decision Theory


4. Week

- Linear Classifiers


5. Week

- Nonlinear Classifiers


6. Week

- 1st Midterm Exam


7. Week

- Feature Selection


8. Week

- Feature Generation


9. Week

- Clustering


10. Week

- Popular Pattern Recognition Applications - Part I


11. Week

- Popular Pattern Recognition Applications - Part II


12. Week

- 2nd Midterm Exam


13. Week

- Course Recap


14. Week

- Project Presentations


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