Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / İKT-619 - ECONOMICS (PhD)

Code: İKT-619 Course Title: QUANTITATIVE TECHNIQUES Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department ECONOMICS (PhD)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer EBRU TOPCU (ebruerdogan@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Using digital data, modeling, and aims to become familiar with analytical thinking and programming model.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can gain the ability to organize your development and administrative skills PO-1 have information about basic economic topics and indicators.
Examination
LO-2 can have information about the new models and to gain the ability to use PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-3 Can examine the success of managerial decisions with numerical methods to gain skills PO-9 have ability on commenting current economic issues considering economic theory in the view of sociology.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
This course focuses on the supply side of the market. Courses you first start with the basic movements and monitor the firm's profit maximization to achieve this through the cost of production due to the cost function enazl up. Behavior of firms in different market structures on these results are discussed. It first starts by examining the movement in the market in a fully competitive and monopoly. Monopolistic competition and oligopolistic market structures and subsequently analyzed. Oligopolistic market structure between companies is brief introduction to game theory to examine the strategic relationship.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to quantitative decision-making techniques Explanation
2 Decision-making techniques Explanation
3 Decision-making techniques Explanation
4 Decision tree Explanation
5 Linear programming Explanation
6 Decision making under probability Explanation
7 Decision making under probability Explanation
8 mid-term exam
9 Tail theory Explanation
10 Inventory model Explanation
11 Transportation Model Explanation
12 Simplex method Explanation
13 Simplex method applications Explanation
14 Simplex method applications Explanation
15 Exam Preparation Explanation
16 final exam
Recommend Course Book / Supplementary Book/Reading
Required Course instruments and materials
Slides

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 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 1 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 4 12 48
       b) Search in internet/Library 4 10 40
       c) Performance Project 0
       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 5 5 25
mid-term exam 1 1 1
Own study for final exam 4 5 20
final exam 1 1 1
0
0
Total work load; 177