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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MEC 5010 OPTIMUM DESIGN TECHNIQUES IN MECHATRONICAL SYSTEMS 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 ZEKI KIRAL

Offered to

M.Sc. Mechatronics Engineering Mechatronics Engineering

Course Objective

In this course it will be dealt with continuous optimization methods with emphasis upon numerical optimization techniques and the tools of design optimization. Optimal design of complex mechatronical systems will be discussed as analogous to mechanical systems.

Learning Outcomes of the Course Unit

1   To describe conditions for optimality 2   To identify highlights and overview of optimization methods 3   To compute finite difference approximations 4   To choose numerical methods for optimization 5   To select unconstrained and constrained optimization methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Optimal design of mechanical elements and systems 2 Conditions for optimality 3 Mathematical modeling of optimization problems in mechanical design. 4 Highlights and overview of optimization methods 5 Numerical methods for optimization 6 Midterm 7 Unconstrained optimization methods 8 Constrained optimization methods 9 Finite difference approximations 10 Displacement and stress constraints (1/2) 11 Displacement and stress constraints (2/2) 12 Local and global approximations 13 Combinational Optimization and Linear Programming 14 Combinational Optimization and Linear Programming

Recomended or Required Reading

Mechatronics System Design, Devdas Shetty, Richard A. Kolk

Planned Learning Activities and Teaching Methods

Theoretical background is explained in details with presentations. Students should enter a midterm and a final exam focused on practical issues of the subjects included in course.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE MTE * 0.50 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

aytac.goren@deu.edu.tr

Office Hours

Pls. contact via e-mail.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 4 48 Preparation for midterm exam 1 45 45 Preparation for final exam 1 55 55 Midterm 1 4 4 Final 1 4 4 TOTAL WORKLOAD (hours) 192

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 PO.14 PO.15 LO.1 4 LO.2 3 3 LO.3 3 3 2 3 LO.4 4 3 2 LO.5 3 3 2 3