COURSE UNIT TITLE

: INTRODUCTION TO COMPUTATIONAL INTELLIGENCE

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 4919 INTRODUCTION TO COMPUTATIONAL INTELLIGENCE ELECTIVE 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ŞENER AKPINAR

Offered to

Industrial Engineering

Course Objective

To introduce soft computing and be able to model and solve real complex problems with the help of evolutionary computation, neural networks and fuzzy logic.

Learning Outcomes of the Course Unit

1   An ability to define main philosophy and concepts of fuzzy set theory, artificial neural networks and evolutionary algorithms
2   An ability to derive and solve fuzzy mathematical models which takes into account the uncertainty in real life problems with an optimization package such as LINGO, ILOG OPL
3   An ability to use MATLAB toolboxes related to the main computational intelligence techniques such as Fuzzy logic and Neural network toolboxes
4   An ability to use MATLAB software in order to code and apply metaheuristic algorithms on the basic optimization problems of industrial engineering
5   To enable students to solve complex engineering problems by making use of computational intelligence approaches

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Fuzzy Sets and Its Operations
2 Linguistic Variables & Membership Functions
3 Fuzzy Classification and Clustering Methods
4 Fuzzy Mathematical Programming & Fuzzy Rule Based Systems
5 Fundamental Concepts and Definition of Neurocomputing
6 Mapping and Self-Organizing Networks and Their Learning Algorithms
7 Statistical Methods Using Neural Networks
8 Mid-term examination
9 Neural Networks for Optimization Problems
10 Introduction to Search Heuristics & Metaheuristics
11 Metaheuristics Based on Solution Construction and Modification
12 Metaheuristics Based on Solution Recombination: Genetic Algorithms
13 Applications of Metaheuristic Algorithms in Production Scheduling & Logistics
14 Term Project Presentations

Recomended or Required Reading

Textbook(s): An Introduction to Fuzzy Sets, Witold Pedrycz, Fernando Gomide, Massachusetts Institute of Technology, USA, 1998.
Neural Fuzzy Systems, Chin-Teng Lin, C.S. George Lee, Prentice Hall, New Jersey 1996.
Fuzzy Logic with Engineering Applications, Timothy J. Ross, Wiley, 2010.
Principles of Neurocomputing for science & Engineering, Fredrick M Ham, Ivica Kostanic, McGraw Hill, 2001.
Metaheuristic Search Concepts: A Tutorial with Applications to Production and Logistics, G. Zapfel, R. Braune, M. Bögl, Springer, 2010.

Planned Learning Activities and Teaching Methods

The presentations which are prepared by using books, articles and proceedings as well as class board will be used in the scope of the course programme.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50


*** 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)

Professor Adil BAYKASOĞLU, Phd.
adil.baykasoglu@deu.edu.tr

Office Hours

Afternoon at the thursday and friday

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 5 5
Preparation for final exam 1 7 7
Preparing presentations 5 2 10
Final 1 1,5 2
Midterm 1 1,5 2
TOTAL WORKLOAD (hours) 96

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1454444233
LO.24255453224
LO.3535554334
LO.432453334
LO.55444542223

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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