TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Bachelor's Degree |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 5 |
NAME OF LECTURER(S) | Associate Professor Nurcan Alkış Bayhan
|
LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students; 1) Will be able to solve linear programming problems by means of specialized software tolls. 2) Will be able to formulate linear optimization models. 3) Will have basic mathematical and statistical knowledge. 4) Learn principles and methods of linear programming. 5) Know application of linear programing models in solving real-world decision optimization problems.
|
MODE OF DELIVERY | Face to face |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | NA |
COURSE DEFINITION | |
COURSE CONTENTS | WEEK | TOPICS |
---|
1st Week | Basic concepts | 2nd Week | Stochastic models and the concept of probability | 3rd Week | Definition and categorization of stochastic models | 4th Week | Markov Process | 5th Week | Parametric programming | 6th Week | Markov chain and applications | 7th Week | Markov chain and applications | 8th Week | Mid-term examination | 9th Week | Duality in linear programming | 10th Week | Distribution problems | 11th Week | Software for linear programming problems | 12th Week | Birth and death processes | 13th Week | Renewal processes | 14th Week | Renewal processes |
|
RECOMENDED OR REQUIRED READING | "An Introduction to Managament Science", 7th Edition, Anderson, Sweeney and Williams, WEST Publishing Co., 1994. |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Questions/Answers,Case Study,Problem Solving |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
---|
Mid-term | 1 | 40 | Assignment | 2 | 10 | Total(%) | | 50 | Contribution of In-term Studies to Overall Grade(%) | | 50 | Contribution of Final Examination to Overall Grade(%) | | 50 | Total(%) | | 100 |
|
ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | 1 | 3 | 3 | Preparation for Quiz | | | | Individual or group work | 14 | 3 | 42 | Preparation for Final exam | 1 | 25 | 25 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | 1 | 25 | 25 | Laboratory (including preparation) | | | | Final exam | 1 | 3 | 3 | Homework | 2 | 5 | 10 | Total Workload | | | 150 |
---|
Total Workload / 30 | | | 5 |
---|
ECTS Credits of the Course | | | 5 |
|
LANGUAGE OF INSTRUCTION | Turkish |
WORK PLACEMENT(S) | No |
| |