Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / İKT-616 - ECONOMICS (PhD)

Code: İKT-616 Course Title: ECONOMIC OPTIMIZATION TECHNIQUES Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring 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 SERAP ÇOBAN (seraps@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to teach microeconomic and macroeconomic issues and variables, the maximum, minimumand optimum calculation.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 be able to learn maximum, minimum and optimum concepts in economics. PO-10 have ability on modeling the economic theories mathematically.
Examination
LO-2 be able to learn linear functions used in linear programming. PO-
LO-3 be able to learn non- linear functions with maximum, minimum and optimum concepts. PO-
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Linear Functions and Their Derivatives, Functions of Several Variables local maximum and local minimum, The use of linear programming optimization.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Maximum, Minimum and Optimum Concepts in Economics Explanation
2 Linear Functions and Their Derivatives Explanation
3 Non-linear functions: Maximum,minimum (optimum) and its derivatives Explanation
4 Non-linear functions, derivatives and illustrations Explanation
5 Drawing Functions, Asymptotes, convexity, concavity Explanation
6 Functions of Several Variables local maximum and local minimum Explanation
7 Functions of two variables conditional maximum and minimum Explanation
8 mid-term exam
9 Functions of two variables conditional maximum and minimum (Lagrange function) Explanation
10 Functions of two variables conditional maximum and minimum (Lagrange function) Explanation
11 The use of linear programming optimization Explanation
12 The use of linear programming optimization Explanation
13 Primal Problem solving (Quantity solution) Explanation
14 Dual Problem solving (Price solution) Explanation
15 General Overwiev Explanation
16 final exam
Recommend Course Book / Supplementary Book/Reading
Required Course instruments and materials
lesson books

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 5 10 50
       b) Search in internet/Library 3 11 33
       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 4 6 24
mid-term exam 1 1 1
Own study for final exam 5 6 30
final exam 1 1 1
0
0
Total work load; 181