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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
LINEAR PROGRAMMING TKM351 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
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 DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNA
COURSE DEFINITION
COURSE CONTENTS
WEEKTOPICS
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 METHODSLecture,Questions/Answers,Case Study,Problem Solving
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Assignment210
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 exam133
Preparation for Quiz
Individual or group work14342
Preparation for Final exam12525
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam133
Homework2510
Total Workload150
Total Workload / 305
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4LO5
K1  X   X   X   X   X
K2    X   X   X   X
K3    X   X   X   X
K4      X   X  
K5  X     X   X   X
K6      X   X  
K7      X    
K8  X   X     X   X
K9         
K10         
K11         
K12          X
K13          X
K14         
K15