COURSE UNIT TITLE

: OPTIMIZATION THEORY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 6043 OPTIMIZATION THEORY ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Textile Engineering
Statistics
Statistics
STATISTICS
Textile Engineering

Course Objective

Optimization techniques are used in every engineering disciplines including Textile Engineering nowadays. This course aims at giving some basic knowledge in optimization to engineering students for improving their problem solving capacities and also for their better understanding of some new techniques such as PERT, CPM, Optimal Control Theory etc.

Learning Outcomes of the Course Unit

1   Defining and clasifying optimization problems, having knowledge on the ones used in textiles
2   Analyzing engineering problems using different optimization techniques
3   Choosing the appropriate optimization technique for the problem to be solved
4   Preparing an optimization program on the computer
5   Interpretation and evaluation of the results of the optimization program

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Optimization
2 Introduction to Optimization
3 Classical Optimization Techniques (Elimination method)
4 Classical Optimization Techniques (Constraint variation method)
5 Classical Optimization Techniques (Lagrange method)
6 Linear Programming
7 Linear Programming
8 Nonlinear Programming(One-Dimensional Minimization Methods)
9 Nonlinear Programming (Unconstrained Optimization Techniques)
10 Nonlinear Programming (Unconstrained Optimization Techniques)
11 Nonlinear Programming (Unconstrained Optimization Techniques)
12 Nonlinear Programming (Unconstrained Optimization Techniques)
13 Nonlinear Programming (Constrained Optimization Techniques)
14 Nonlinear Programming (Constrained Optimization Techniques)

Recomended or Required Reading

Kurbak, A., Optimization Techniques, Lecture Notes, 2004.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend and both the lecture and seminar hours and take part in the discussion sessions. Besides the taught lecture, group presentations are prepared by the groups and assigned for the week and presented to open a discussion session.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 FCG FINAL COURSE GRADE PRJ * 1


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

The students are given an actual problem to solve using their choice of optimization method by preparing a computer program as a project.

Language of Instruction

English

Course Policies and Rules

All class members are expected to attend both the lecture and presentation hours and take part in the discussion sessions.

Contact Details for the Lecturer(s)

arif.kurbak@deu.edu.tr

Office Hours

Tuesday 10:00-12:00
Thusday 10:00-12:00

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
Reading 14 2 28
Design Project 1 50 50
Preparing presentations 2 20 40
TOTAL WORKLOAD (hours) 188

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.12445
LO.22545
LO.32545
LO.42545
LO.52545

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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