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 DOCTOR EFENDI NASIBOĞLU

Offered to

Data Science
Data Science - (Non-Thesis-Evening)

Course Objective

The aim of this course is to teach the students the basic principles of fuzzy logic and to give capability to form fuzzy models.

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):
Sivanandam S.N., Deepa S.N., Sumathi S. (2007). Introduction to Fuzzy Logic Using MATLAB., Springer
Supplementary Book(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 will be taught in the form of expression, classroom presentation and discussion. In addition to the course taught, group presentations will be prepared and presented as controversial sessions. In some weeks of the course, the results of the given homework will be discussed and 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)

efendi.nasibov@deu.edu.tr

Office Hours

Will be announced

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes