COURSE UNIT TITLE

: QUANTITATIVE METHODS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISY 5039 QUANTITATIVE METHODS COMPULSORY 3 0 0 5

Offered By

Management Science

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ASLI ÖZDEMIR

Offered to

Management Science
Quantitative Methods

Course Objective

This course aims to ensure developing the analytical thinking and problem solving skills, finding the optimal solution of business problems by presenting mathematical models and using the computer softwares.

Learning Outcomes of the Course Unit

1   Be able to describe and model business problems
2   Define and understand the quantitative techniques that can be utilized to solve business problems
3   Able to apply these techniques to solve business problems
4   Able to use computer programmes to solve problems,
5   Able to make inferences in accordance with results obtained by solving the modelled decision problems,
6   Able to gain experience on making effective decisions in business decision making process by interpreting the results obtained.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Decision Theory and Utility Theory
3 Linear Programming (Modelling and Graphical Solution)
4 Linear Programming (Simplex, Two-Phase Method, Computer Applications)
5 Duality Theorem
6 Special Cases in Linear Programming, Sensitivity Analysis
7 Integer Programming and Business Applications (Modelling and Graphical Solution)
8 Integer Programming and Business Applications (Gomory Cutting Plane Method and Branc-and-Bound Algorithm, Computer Applications)
9 Game Theory and Business Applications
10 Data Envelopment Analysis and Business Applications
11 Goal Programming and Business Applications
12 Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP)
13 Other Multi Criteria Methods (Criteria Wieghting)
14 Other Multi Criteria Methods (Alternative Sorting)

Recomended or Required Reading

Textbook(s):
1. Sayısal Yöntemler. Prof. Dr. Hülya TÜTEK , Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Doç. Dr. Aslı ÖZDEMIR, Beta, 2021.
2. Sayısal Yöntemlerde Problem Çözümleri ve Bilgisayar Destekli Uygulamalar. Prof. Dr. Hülya TÜTEK, Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Doç. Dr. Ali ÖZDEMIR, Dr. Aslı ÖZDEMIR, Beta, 2011.
Supplementary Book(s):
1. Operations Research Applications and Algorithms, Wayne L. Winston.
2. Introduction to Operations Research, Hillier & Liberman.
3. All books and academic journals about OR.

Planned Learning Activities and Teaching Methods

Lectures, Class Discussions, Questions-Answers, Homework Presentations and Sample Applications

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

1 Attending at least 70 percent of lectures is mandatory.
2 It's expected to obey scientific research rules and ethics in the preparation of homework presentations
3 It's expected that to support the homework presentations with business applications.

Contact Details for the Lecturer(s)

E-posta: asli.yuksek@deu.edu.tr

Office Hours

Determined according to the related semester's course schedule.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation for final exam 1 20 20
Preparing assignments 1 30 30
Preparations before/after weekly lectures 14 1 14
Preparing presentations 1 4 4
Preparation for midterm exam 1 11 11
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1
LO.2
LO.3
LO.4
LO.5
LO.6