• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 6144 CONSTRAINED OPTIMIZATION TECHNIQUES ELECTIVE 3 0 0 6

Offered By

Econometrics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR MURAT TANIK

Offered to

Econometrics

Course Objective

Optimization is one of the major building blocks of decision-making. This course covers the mathematical modeling and solution of optimization problems by constrained optimization algorithms and with the help of computers.

Learning Outcomes of the Course Unit

1   To be able to form understand the basic principle of constrained optimization. 2   To be able to generate problem as a constrained optimization problem. 3   To be able to determine the objective function and constraints of problem. 4   To be able to understand selection criteria of constrained optimization problem. 5   To be able to solve constrained optimization problem.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Constrained Optimization Theory. 2 Optimality Conditions. 3 Linear programming: Simplex Method 4 Linear programming: Interior Point Methods 5 Nonlinear Constrainted Opitimization 6 Quadratic Programming 7 Matlab Applications 8 Mid-term 9 Article Review 10 Penalty and Increased Lagrange Methods 11 Interior Point Methods for Nonlinear Programming 12 Discrete and Global Optimization 13 Article Review 14 Article Review

Recomended or Required Reading

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

Planned Learning Activities and Teaching Methods

This course will be presented using methods of expression, discussion and solving problem.

Assessment Methods

Successful / Unsuccessful

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 35 35 Preparation for final exam 1 35 35 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 167

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