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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MEE 5042 OPTIMIZATION IN MACHINE DESIGN 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

PROFESSOR DOCTOR ŞEFIKA KASMAN

Offered to

DESIGN AND PRODUCTION Design and Production DESIGN AND PRODUCTION

Course Objective

Introduction to Optimization, Optimization techniques for machine elements, Computer aided optimum design

Learning Outcomes of the Course Unit

1   will be able to express the design of machine element in the form of optimization problem 2   will be able to formulate machine elements for different constraints 3   will be able to solve problems with classical methods 4   will be able to solve problems with computer 5   will be able to interpret the results of design

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Design Process Steps 2 Principles of Design, Styling 3 Optimization Concept and Engineering Applications 4 Mechanical Design Optimization 5 Lightweight Construction Principles, Material Gain, Simplicity in Design, Minimum Volume Principle 6 Classic Optmizasyon Techniques 7 Classic Optmizasyon Techniques 8 Classic Optmizasyon Techniques 9 Optimum Design of Simple and Complex Machine Elements 10 Optimum Design of Simple and Complex Machine Elements 11 Optimum Design of Simple and Complex Machine Elements 12 Computer-Aided Optimization 13 Computer-Aided Optimization 14 Homework Presentations

Recomended or Required Reading

1- Optimum design of Mechanical elements Ray C.Johnson 2- Engineering Optimization and Application, ,Singiresu S. Rao, Wiley Eastern Limited,0-4714555034-5, Kanada, 2004 3- Introduction to Optimum Design, Jasbir, S. Arora, Elsevier, 0-12-064155-0, New York, 2004

Planned Learning Activities and Teaching Methods

presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 15 3 45 Preparation for final exam 1 30 30 Preparing assignments 2 40 80 Preparation for midterm exam 1 30 30 Final 1 3 3 Midterm 1 2 2 TOTAL WORKLOAD (hours) 190

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 PO.12 PO.13 LO.1 3 LO.2 5 LO.3 5 LO.4 4 2 LO.5 3