COURSE UNIT TITLE

Offered By

Faculty Of Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYŞE ÖVGÜ KINAY

Offered to

Biology
Chemistry
Computer Science
Statistics
Mathematics
Physics
Faculty Of Science

Course Objective

This course aims to learn: introduction to soft computing, fundamentals of artificial neural network, fuzzy inference systems, genetic algorithm, simulated annealing, and hybrid systems.

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):
Neural Network, Fuzzy Logic, and Genetic Algorithms - Synthesis and Applications", by S. Rajasekaran and G.A. Vijayalaksmi Pai, (2005), Prentice Hall,
Soft Computing and Intelligent Systems - Theory and Application , by Naresh K. Sinha and Madan M. Gupta (2000), Academic Press,
Supplementary Book(s):
Soft Computing and Intelligent Systems Design - Theory, Tools and Applications", by Fakhreddine karray and Clarence de Silva (2004), Addison Wesley
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by J. S. R. Jang, C. T. Sun, and E. Mizutani, (1996), Prentice Hall.

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

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ovgu.tekin@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes