MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT5015 Mathematical Programming and Modelling Fall 3 0 3 12
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. GENCO FAS
Course Objectives: The course will provide an introduction to optimization and consider required fundamental concepts on industry, planning and logistics.

Learning Outputs

The students who have succeeded in this course;
Students will learn mathematical modelling and exact and heuristic solution methods about real life problems.

Course Content

Introduction to optimization and mathematical modelling, 2-dimentional linear programming, Integer programming, Simplex Method, Quadratic Assignment, Trasportation, Location-Allocation Problems.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Linear Programming
2) Real life problems on two-dimentional linear programming
3) Simplex Method: Definitions and basic operations
4) Simplex Method (cont.)
5) Big-M and Two-Phase Methods
6) Revised Simplex Method and Duality
7) Karush Kuhn Tucker Conditions
8) Integer Programming
9) Travelling Salesman and Location - Allocation Models
10) Quadratic Assignment Problem
11) Some Heuristic Methods such as Simulated Annealing and Genetic Algorithm.
12) Branch and Bound Method
13) Applications and Review
14) Review

Sources

Course Notes: - Operations research: An Introduction, Hamdy A. Taha, Prentice Hall
References: - Facilities Design, Sunderesh S. Heragu, CRC Press

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments 2 % 10
Presentation % 0
Project % 0
Seminar % 0
Midterms 1 % 30
Preliminary Jury % 0
Final 1 % 50
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 8 112
Presentations / Seminar 2 2 4
Project 0 0 0
Homework Assignments 2 10 20
Quizzes 2 2 4
Preliminary Jury 0
Midterms 2 2 4
Paper Submission 0
Jury 0
Final 1 14 14
Total Workload 200

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution