COURSE UNIT TITLE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR EFENDI NASIBOĞLU

Offered to

Computer Science
Ph.D. in 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.
Supplementary Book(s): Larose D., Discovering knowledge in data: An introduction to data mining, J. Wiley & Sons, 2005.

Recent literature papers.

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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

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