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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 6013 CORPORATE BUSINESS MODELS AND OPTIMIZATION TECHNIQUES ELECTIVE 3 0 0 7

Offered By

Management Information Systems

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR KAAN YARALIOĞLU

Offered to

Management Information Systems

Course Objective

This course covers the mathematical building blocks of optimization algorithms, and modeling and solution of optimization problems by various optimization algorithms.

Learning Outcomes of the Course Unit

1   1.To be able to understand the basic principles of optimization. 2   2.To be able to generate problem as an optimization problem. 3   3.To be able to determine the objective function and constraints of a problem. 4   4.To be able to understand the selection criteria of an optimization algorithm. 5   5.To be able to solve an optimization problem analitically.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 1.Introduction to optimization theory 2 2.Convexity 3 3.Concepts and calculations of directional derivative, Jacobien and Hessian matrices 4 4.Optimality conditions 5 5.Modelling 6 6.Applications of modelling 7 7.Article reviews 8 8.Mid-term 9 9.Unconstrained optimization algorithms 10 10.Applications of Unconstrained optimization 11 11.Constrained optimization algorithms 12 12.Applications of constrained optimization 13 13.Article reviews 14 14.Article reviews

Recomended or Required Reading

Jorge Nocedal Stephen J. Wright, Numerical Optimization, Springer series, 2006

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRJ PROJECT 3 PRS PRESENTATION 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTE* 0.20 + PRJ* 0.20 + PRS* 0.20 + FIN* 0.40 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + PRJ * 0.20 + PRS * 0.20 + RST* 0.40

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 13 3 39 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 10 10 Preparation for final exam 1 20 20 Preparing presentations 1 30 30 Preparing report 1 30 30 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 183

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 LO.1 5 3 3 4 LO.2 5 3 3 4 LO.3 5 3 3 4 LO.4 5 3 3 4 LO.5 5 3 3 4