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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

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 Excel in solution

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 Single variable Optimization 8 Multivariable variable Optimization 9 Linear Optimization 10 Nonlinear programming 11 Geometric programming with no constraints 12 Geometric programming with constraints 13 Midterm exam 14 Geometric programming with constraints 15 Geometric programming

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 QUZ QUIZ 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE*0.35+QUZ *0.15+FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE*0.35+QUZ *0.15+RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

ÖÇ1-ÖÇ5 are assessed by exams and quiz

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 4 4 Preparation for quiz etc. 2 4 8 Midterm 1 2 2 Final 1 2 2 Quiz etc. 2 2 4 TOTAL WORKLOAD (hours) 102

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