COURSE UNIT TITLE

: SELECTED TOPICS ON MATHEMATICAL PROGRAMMING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 4925 SELECTED TOPICS ON MATHEMATICAL PROGRAMMING ELECTIVE 3 0 0 5

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ADIL BAYKASOĞLU

Offered to

Industrial Engineering

Course Objective

The main aim of the course is to introduce students to some of the topics not covered in general operations research courses with the help of applications and projects.

Learning Outcomes of the Course Unit

1   An ability to derive non-linear programming models for solving the engineering problems
2   An ability to apply multi-objective optimization techniques for solving the industrial engineering problems which have more than one objective
3   An ability to use mathematical programming languages such as LINGO, ILOG OPL studio in the solution phase of the developed non-linear programming models
4   An ability to identify main concepts of non-linear programming and multiobjective optimization
5   An ability to solve design optimization problems via non-linear programming models

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Preliminary concepts in nonlinear programming
2 One and multi-dimensional unconstrained nonlinear programming
3 Multi-dimensional unconstrained nonlinear programming
4 Constrained nonlinear programming and penalty methods 1
5 Constrained nonlinear programming and penalty methods 2
6 Geometric programming-1
7 Geometric programming-2
8 Applications of nonlinear programming to design optimization problems
9 Preliminary concepts in multiple objective optimization
10 Pareto optimality
11 Multiple objective optimization techniques
12 Multiple objective optimization techniques and implementation
13 Applications of multiple objective optimization to industrial engineering problems 1
14 Applications of multiple objective optimization to industrial engineering problems 2

Recomended or Required Reading

Optimization Concepts and Applications in Engineering, A.D. Belegundu, T.R. Chandrupatla, Prentice Hall, New Jersey, 1999.
Introduction to Engineering Design Optimization, C. Onwubiko, Prentice Hall, New Jersey, 1999.
Practical Optimization Methods with Mathematica Applications, M.A. Bhatti, Springer and Verlag, New York, 2000.
Operations Research: An Introduction, H.A. Taha, Prentice Hall, New Jersey, 2007.

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.
Theoretical Lectures, Case studies and Projects

Assessment Methods

To be announced!

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm (25%) + Project (25%) + Final (50%)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

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

Office Hours

To be announced.

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 4 4
Preparation for final exam 1 6 6
Preparing presentations 7 3 21
Midterm 1 2 2
Final 1 2 2
Project Assignment 1 5 5
Project Final Presentation 1 5 5
TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1253532
LO.2253532
LO.3253532
LO.453332
LO.5253532

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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