Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / İŞLTZİÖ508 - BUSINESS ADMINISTRATION (MASTER'S DEGREE PROGRAMME WITHOUT THESIS)

Code: İŞLTZİÖ508 Course Title: QUANTITATIVE DECISION-MAKING TECHNIQUES Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department BUSINESS ADMINISTRATION (MASTER'S DEGREE PROGRAMME WITHOUT THESIS)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer NURİ ÖZGÜR DOĞAN (nodogan@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The purpose of this course, the decision-making process, provide the ability of the numerical techniques to be used. The students on the subject by analyzing the data, the most relevant objective and consistent decision-making is aimed to follow a scientific approach.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can explain the decision process and the decision-making steps PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.
 		Examination
LO-2 Can apply the techniques of analytical decision-making PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.
 		Examination
Performance Project
LO-3 Can compare the decision-making techniques analytically PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical
PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.
 		Examination
Performance Project
LO-4 Can realize the application areas of quantitative decison making techniques PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.
PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical
PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.
 		Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Linear programming, transportation and assignment problems, network problems, integer programming, goal programming, dynamic programming, nonlinear programming, decision analysis, game theory, queuing models, decision making under uncertainty, decision making under risk
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Decision-making process and the basic concepts verbal lecture and discussion
2 Decision theory and analysis (Decision making under certainty, uncertainty and risk) verbal lecture and discussion
3 Linear programming verbal lecture and discussion
4 Integer programming verbal lecture and discussion
5 Transportation and assignment problems verbal lecture and discussion
6 Goal programming verbal lecture and discussion
7 Case study within the scope of the decision-making verbal lecture and discussion, Performance homework
8 mid-term exam
9 Non-linear programming, quadratic programming verbal lecture and discussion
10 Dynamic programming verbal lecture and discussion
11 Game theory verbal lecture and discussion
12 Multi-objective decision making verbal lecture and discussion
13 Multi-criteria decision making verbal lecture and discussion
14 Queueing models verbal lecture and discussion
15 Case study within the scope of the decision-making verbal lecture and discussion, Performance homework
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 İşletme Yöneticileri İçin Excel ile Sayısal Karar Verme Teknikleri, Erkut Düzakın. Seçkin Yayıncılık, 2005
2 Quantitative Decision Making, Lawrence Lapin and William D. Whisler,2005
Required Course instruments and materials
Text Book, Writing Board, Projection Device

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 3 14 42
       b) Search in internet/Library 3 14 42
       c) Performance Project 3 2 6
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 3 5 15
mid-term exam 2 1 2
Own study for final exam 3 7 21
final exam 2 1 2
0
0
Total work load; 172