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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 (Evening)

Course Objective

Establishing mathematical models and applying solution methods in the optimum design of engineering problems

Learning Outcomes of the Course Unit

1   Ability to formulate engineering problems as optimum design problems 2   Ability to express basic quantities with physical and mathematical concepts and principles in the formulation of optimization problems. 3   Ability to use basic mathematical knowledge in solving optimization problems 4   Ability to solve formulated problems using classical methods 5   Ability to use Excel program to solve optimization problems

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 and historical development 2 Engineering applications of optimization 3 Formulation of optimization problems, classification of optimization problems 4 Graphical optimization 5 Classical optimization methods 6 Linear optimization 7 Linear optimization 8 Nonlinear optimization 9 Nonlinear optimization 10 Geometric programming with no constraints 11 Geometric programming with constraints 12 Optimum design with excel solver 13 Optimum design with excel solver 14 Optimum design with excel solver

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 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.40 + ASG * 0.10 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + 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 exams and ÖÇ5 is assessed by homeworks

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 14 3 42 Preparation for final exam 1 12 12 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 8 8 Preparing assignments 1 1 1 Midterm 1 1 1 Final 1 1 1 Project Assignment 1 1 1 TOTAL WORKLOAD (hours) 94

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 5 LO.2 4 4 LO.3 4 4 LO.4 4 4 LO.5 4 4