Description of Individual Course Units
|
Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
INSTRUCTOR ÖZLEM ÖZTÜRK |
Offered to |
COMPUTER ENGINEERING |
Course Objective |
This course introduces statistical pattern recognition techniques which are useful for solving classification problems. Techniques for analyzing multidimensional data of various types and scales along with algorithms for projection, dimensionality reduction, clustering and classification of data will be explained. |
Learning Outcomes of the Course Unit |
||||||||||
|
Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
|||||||||||||||||||||||||||||||||||||||||||||
|
Recomended or Required Reading |
Textbook(s): Duda R O, Hart P E and Stork D G, (2001) Pattern Classification, 2nd Edition, Wiley |
Planned Learning Activities and Teaching Methods |
Presentations, term projects, paper research and examination |
Assessment Methods |
||||||||||||||||||||||||||||
|
Further Notes About Assessment Methods |
None |
Assessment Criteria |
Learning Outcomes (LO) 1, 2, 3, 4, and 5 will be assessed by examination. LOs 2, 3, and 5 will also be assessed by Projects. |
Language of Instruction |
English |
Course Policies and Rules |
To be announced. |
Contact Details for the Lecturer(s) |
Dr. Özlem ÖZTÜRK |
Office Hours |
Monday 15:00 - 17:00 |
Work Placement(s) |
None |
Workload Calculation |
||||||||||||||||||||||||||||||||||||||||||||
|
Contribution of Learning Outcomes to Programme Outcomes |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|