Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
5BUS 305Operations Research3+0+03505.01.2022
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program Business Administration (English)
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course This course aims to provide the student with the skills to understand and implement the basic mathematical modelling techniques linear and integer programming, and the methods and algorithms used in solving associated mathematical models.
Course Content - Linear and Integer Programming, Modelling Techniques, Solution Algorithms for Linear and Integer Programming
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. IRMAK UZUN BAYAR
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Operations Research: Applications and Algorithms. W.L. Winston. Thomson / Brooks-Cole, 2004.


Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 30
Assignment 2 % 20
Final examination 1 % 50
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 16 3 48
Assignments 2 15 30
Mid-terms 1 25 25
Final examination 1 35 35
Total Work Load   Number of ECTS Credits 4,6 138

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 is able to identify the most suitable technique to model a decision problem
2 is able to model decision problems by means of linear and integer programming techniques
3 is able to solve mathematical models by means of linear and integer programming solution algorithms
4 is able to interpret obtained results

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Optimization and Modelling
2 Linear Programming I
3 Linear Programming II
4 Integer Programming I
5 Integer Programming II
6 Algebric Modelling
7 Mid-term Exam
8 Standard-Form Linear Programming Problems
9 Simplex Method
10 Big-M and Two-Phase Methods
11 Revised Simplex Method
12 Duality
13 Sensitivity Analysis
14 Branch and Bound Method
15 Recitation
16 Final

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13
All 2 4 1 3 2 1 3 2 3 4 2
C1 1 2 4 2 4 3 2 5 1 5 2
C2 2 1 2 4 3 2 3 2 2 1 2
C3 3 4 3 4 3 2 4 5 2 4 4
C4 3 1 1 4 3 1 3 2 3 2 4

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant