COURSE UNIT TITLE

: QUANTITATIVE METHODS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SIV 2007 QUANTITATIVE METHODS COMPULSORY 4 0 0 4

Offered By

Civil Aviation Management

Level of Course Unit

Short Cycle Programmes (Associate's Degree)

Course Coordinator

HAKAN SÖNMEZ

Offered to

Civil Aviation Management

Course Objective

The main objective of the course is to give the student information and skills about defining, modelling, classifying, solving, interpreting of decision making problems in the management process.

Learning Outcomes of the Course Unit

1   Students will be able to define and define quantitative methods and tools
2   Students will be able to solve management problems of organizations by using quantitative methods
3   Students will be able to classify problems in management decision process
4   Students will be able to implement optimization modelling of problems on production and service systems
5   Students will be able to expose solution alternatives of decision making problems
6   Students will be able to apply operations research system methodology in solving inter-disiplinary problems
7   Students will be able to interpret decision making problem solutions within economic analysis approach

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Fundamentals of modelling concept
2 Introduction to linear programming
3 Graphical solution of linear programming models
4 Simplex solution of linear programming models
5 Simplex solution of linear programming models
6 Duality and sensitivity analysis
7 Mid-Term Exam
8 Integer programming
9 Solution of transportation problems
10 Solution of assignment problems
11 Solution of assignment problems
12 Project Management (CPM/PERT)
13 Project Management (CPM/PERT)
14 Project Management (CPM/PERT)
15 Final Exam

Recomended or Required Reading

Textbook(s):
1) Taylor, Bernard W., Introduction to Management Science, 10th Edition,USA: Prentice Hall, 2010
2) Taha, Hamdy A. Operations Research: An Introduction;, 6th Ed. Pearson Education Asia Pte Ltd., Singapore, 2001
3) Winston, Wayne L., Operations Research: Applications and Algorithms, Belmont: Duxbury Press, 1994
4) David, R. Anderson., Dennis, J. Sweeney., Thomas, A., Williams and Jeffrey, D. Camm., An Introduction to Management Science, 2010
5) Bernard, W. Taylor, Introduction to Management Science, 10th Edition, 2009
6) Ahmet ÖZTÜRK, Yöneylem Araştırması, Ekin Kitabevi, Bursa, 2009
7) Şule ÖZKAN, Yöneylem Araştırması, Nicel Karar Teknikleri, 2. Basım, Nobel Yayın, Ankara, 2011

Supplementary Book(s):
1) Altaylı, Behçet, Yöneylem Araştırması, Ankara: UYTES, 1996
2) Zekai YILMAZ, Sayısal Yöntemler, Ekin Kitabevi, Bursa, 2004;
3) Halil Sarıaslan ve A.Argun Karacabey, Işletmelerde Sayısal Yöntemler, Turhan Kitabevi;
4) Sezgin, Attila ve Ada, Erhan, 1990, Işletmeciler Için Yöneylem Araştırması, Ankara: TPV-Kalkınma Bankası Matbaası
5) Şule ÖZKAN, Yöneylem Araştırması (Nicel Karar Teknikleri), 2. Basım, Nobel Yayın, Ankara, 2011.
6) Zekai YILMAZ, Sayısal Yöntemler, Ekin Kitabevi, Bursa, 2004.

Planned Learning Activities and Teaching Methods

Lecturing and preparing to subjects

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 QUZ QUIZ
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + QZ * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + QZ * 0.10 + RST * 0.50


*** 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)

hakan.sonmez@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation about subject 12 1 12
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparations before/after weekly lectures 12 1 12
Reading 6 1 6
Midterm 1 2 2
Final 1 2 2
Quiz etc. 6 1 6
TOTAL WORKLOAD (hours) 100

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16
LO.14
LO.23
LO.34
LO.45
LO.54
LO.65
LO.72