COURSE UNIT TITLE

: OPTIMIZATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MAK 4025 OPTIMIZATION ELECTIVE 3 0 0 4

Offered By

Mechanical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ÇIÇEK ÖZES

Offered to

Mechanical Engineering
Mechanical Engineering

Course Objective

Providing the ability to use basic mathematcs and physics principles in optimum design of engineering systems, enabling a logical and systematic approach for the optimum solution of engineering problems.

Learning Outcomes of the Course Unit

1   will be able to express enginering problems with principal physical and mathematical rules
2   will be able design to formulate enginering problems
3   will be able to design enginering problems for different constraints
4   will be able to solve problems with classical methods
5   will be able to use computer in design

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, Historical Progress
2 Classification of optimization problems and engıneerıng applıcatıons of optımızatıon
3 Formulation of Optimization Problems
4 Graphical optimization
5 Graphical optimization
6 Classical optimization methods
7 Midterm exam
8 Single variable Optimization
9 Multivariable Optimization
10 Nonlinear programming
11 Geometric programming with no constraints
12 Geometric programming with constraints
13 Midterm exam
14 Geometric programming with constraints

Recomended or Required Reading

Engineering Optimization and Application, ,Singiresu S. Rao, , ,Wiley Eastern Limited,,0-4714555034-5,Kanada,2010
Introduction to Optimum Design, Jasbir, S. Arora, , , Elsevier, 0-12-064155-0, New York, 2004

Planned Learning Activities and Teaching Methods

Theory of the course and examples are taught by presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE1 * 0.225 + MTE2 * 0.225 + ASG * 0.05 + FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.225 + MTE2 * 0.225 + ASG * 0.05 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

ÖÇ1-ÖÇ4 are assessed by final exam, ÖÇ5 is assessed by homework

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

cicek.ozes@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation for final exam 1 12 12
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 2 8 16
Homework 1 4 4
Midterm 2 2 4
Final 1 2 2
TOTAL WORKLOAD (hours) 98

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.15
LO.2244
LO.344
LO.44
LO.54