NUMERICAL ANALYSES IN MARKETING

MKTZ504

Course Code: MKTZ504
Semester: Second Term (Spring)
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Compulsory Course

Course Level

Master's Degree Without Thesis

Year of Study

Semester

Second Term (Spring)

ECTS

Name of Lecturer(s)

Professor Zeliha Eser

Learning Outcomes

At the end of this course, the students;

Develop skills for analyzing and interpreting the results of the computer output in order to recommend appropriate courses of action.
At the end of this course the student will demonstrate the ability to approach different kinds of decision making situations analytically and interpret the results obtained by various quantitative techniques.
Learn, through case studies, the applications of Management Science to find solutions to real life business problems including those in global environment
Develop analytical skills in structuring and analysis (scientific method) of business decision problems which characterize the field of Management Science.
Develop the infrastructure necessary to distinguish the best model appropriate for a specific decision making situation and develop skills for formulating mathematical models of real life business problems

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

In this course, it is planning to stay on topics such as mathematical modelling of marketing problems. Solution methods related with product, price, place and promotion problems will be examined.

Course Contents

WEEK	TOPICS
1^st Week	Linear Programming: Model Formulation
2^nd Week	Linear Programming: Graphical Solution
3^rd Week	Linear Programming:Sensitivity Analysis of Objective Function Values
4^th Week	Linear Programming Computer Applications
5^th Week	Transportation Problem
6^th Week	Assignment Problem
7^th Week	Integer Linear Programming
8^th Week	Midterm Exam
9^th Week	Decision Analysis
10^th Week	Network Modeling
11^th Week	Project Management
12^th Week	Queueing Modeling
13^th Week	Simulation
14^th Week	Computer Applications of Queueing Theory and Simulation
15^th Week	General Review

Recommended or Required Reading

Anderson, D. R., D. J. Sweeney ve T. W. Williams. 2000. In Introduction to Management Science: Quantitative Approaches to Decision Making. South Western Collage Publishing.

Planned Learning Activities and Teaching Methods

Problem Solving
Lecture

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	40
Total(%)		40
Contribution of In-term Studies to Overall Grade(%)		40
Contribution of Final Examination to Overall Grade(%)		60
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	3	3
Preparation for Quiz
Individual or group work
Preparation for Final exam	1	125	125
Course hours	14	3	42
Preparation for Midterm exam	1	125	125
Laboratory (including preparation)
Final exam	1	3	3
Homework
Total Work Load			298
Total Work Load / 30 (h)			9.93
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1
K2
K3
K4	X	X	X	X	X
K5
K6
K7
K8	X		X
K9
K10