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 |
PROFESSOR DOCTOR EFENDI NASIBOĞLU |
Offered to |
Computer Science |
Course Objective |
This course aims to provide the students with an overview of the fields of applied models of fuzzy logic including methodologies and procedures. It aims to convey the key techniques of construction and using of fuzzy parameters. It also aims to provide the students computational techniques for representation and process fuzzy information in decision making problems. |
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): Jang, J., Sun C., Mizutani E. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall, 1997. |
Planned Learning Activities and Teaching Methods |
The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed. |
Assessment Methods |
||||||||||||
*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
Further Notes About Assessment Methods |
None |
Assessment Criteria |
To be announced. |
Language of Instruction |
English |
Course Policies and Rules |
To be announced. |
Contact Details for the Lecturer(s) |
To be announced. |
Office Hours |
To be announced. |
Work Placement(s) |
None |
Workload Calculation |
||||||||||||||||||||||||||||||||
|
Contribution of Learning Outcomes to Programme Outcomes |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|