COURSE UNIT TITLE

: QUANTITATIVE METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISL 3002 QUANTITATIVE METHODS COMPULSORY 3 0 0 5

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ASLI ÖZDEMIR

Offered to

Business Administration
Business Administration (Evening)

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.

Learning Outcomes of the Course Unit

1   Model the real problems that are importatant for the businesses
2   Introduce operations research approches that can be use in order to solve the business problems
3   Apply the operations research approches to solve the business problems that are observed
4   Reporting of the analyse results by interpreting
5   Make inferences by using quantitative data that are observed by problem solving

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Probability and Probability Distributions
2 Decision Metrics
3 Decision Tree
4 Using Bayes Theorem in Decision Tree
5 Utilty Theory
6 Linear Programming Programming-Modelling and Graphic Methods
7 Linear Programming-Simplex Method
8 Midterm Exam
9 Midterm Exam
10 Big M Method
11 Transportation Problem and Solution Methods
12 Game Theory
13 Integer Programming, Dynamic Programming
14 Goal Programming, Simulation

Recomended or Required Reading

1. Sayısal Yöntemler: Yönetsel Yaklaşım, Prof. Dr. Hülya TÜTEK - Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Beta, 2008.
2. Işletme Istatistiği, Prof. Dr. Hülya TÜTEK - Prof. Dr. Şevkinaz GÜMÜŞOĞLU, Beta, 2008.
3. Introduction to Operations Research, F.S.HILLIER & G.J.LIEBERMAN

Planned Learning Activities and Teaching Methods

Lecture, question-answer, discussion, presentation of homework and sample applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

- Doç. Dr. Ali Özdemir and Yrd.Doç.Dr. Aslı Özdemir
E-mail: ali.ozdemir@deu.edu.tr Web: http://kisi.deu.edu.tr/ali.ozdemir
asli.yuksek@deu.edu.tr http://kisi.deu.edu.tr/asli.yuksek

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 5 60
Preparation for midterm exam 1 10 10
Preparation for final exam 1 14 14
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 122

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.11
LO.21
LO.31
LO.41
LO.51

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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