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

Ph.D. in Computer Science (English)
Industrial Ph.D. Program In Advanced Biomedical Technologies
Computer Science
Industrial Ph.D. Program In Advanced Biomedical Technologies
Statistics (English)
Biomedical Tehnologies (English)
STATISTICS (ENGLISH)
Statistics (English)
Artificial Intelligence and Intelligent Systems

Course Objective

The objective of the course is to introduce basics of Soft Computing (SC) technologies which has gains popularity in data analysis and decision making problems for recent years.

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)/References/Materials:
J.-S.R. Jang, C.-T. Sun, E. Mizutani, Neuro-Fuzzy And Soft Computing, by Prentice Hall, 1997.
Supplementary Book(s):
R.A. Aliev, R.R. Aliev, Soft Computing and Its Applications, by World Scientific Publishing Co., 2001.

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

Evaluation of exams and homeworks.

Language of Instruction

English

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