Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / İKT106 - ECONOMICS

Code: İKT106 Course Title: MATHEMATICS FOR ECONOMISTS III Theoretical+Practice: 3+0 ECTS: 3
Year/Semester of Study 1 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department ECONOMICS
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer SELİN ZENGİN TAŞDEMİR (szengin@nevsehir.edu.tr)
Name of Lecturer(s) SELİN ZENGİN TAŞDEMİR,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The course is designed to provide a mathematical foundation, including integration, multivariable calculus and the matrix algebra, for those students who are enrolled in business and economics. In this course, some basic mathematical concepts and theoretical background will be introduced so that the students will be ready to tackle some problems they encounter in later courses of their field.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can explain basic mathematical concepts and principles PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-2 Can establish mathematical background to support other quantitative courses PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-3 Can improve his or her analytical thinking skills PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
LO-4 Can improve his/her skills on solving economical problems PO-10 have ability on modeling the economic theories mathematically.
PO-11 have ability on defining economic variables and comment on the relationships between these variables.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Theoretical background for some type of indefinite and definite integrals are introduced prior to explaining the application of definite integral for calculating the area bounded by some functions in an interval. As an application of the definite integral and calculation of area employing the definite integral, the producers' and the consumers' surpluses at market equilibrium are discussed in some detail. The multivariable functions, the partial derivative of these functions, optimization and the restricted optimization methods for multivariable functions are presented. Simple and compound interest and the present value are studied. Finally, the matrix algebra; matrix, determinants and their properties, inverse matrix, solution methods of linear equation systems and the Cramer's rule for the solution of the system of linear equations; linear programming and the field applications are discussed.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Multivariable functions; partial derivatives of multivariable functions and finding the critical points of the multivariable functions using partial derivatives Lecturing and Problem solving method
2 The restricted optimization of multivariable functions (Lagrange multipliers method) and application of it to some related business problems Lecturing and Problem solving method
3 Integral, indefinite integral and some basic indefinite integral integrating rules Lecturing and Problem solving method
4 Methods of indefinite integrating (Integrating by substitution method and integrating by separating into simple fractions method) Lecturing and Problem solving method
5 Methods of indefinite integrating (Integrating by parts) Lecturing and Problem solving method
6 Definite integral, definition of definite integral, some definite integral integrating rules, integral finding area bounded some functions in an interval Lecturing and Problem solving method
7 Applications of definite integral: Obtaining the producers' and the consumers' surplus using definite integral techniques Lecturing and Problem solving method
8 mid-term exam
9 Simple interest, compounded interest, and the present value Lecturing and Problem solving method
10 Matrix algebra; matrices, determinants and some properties those Lecturing and Problem solving method
11 Matrix operations and their properties, inverse matrix, matrix inversion algorithm, matrix representation of a linear system, definition of determinant, computing the determinant, Sarrus’s rule Lecturing and Problem solving method
12 The Product rule for determinants, cofactor expansion for the determinant function, basic properties of the determinant function, finding inverse matrix using cofactor and determinant, Cramer’s Rule Lecturing and Problem solving method
13 Solution of linear equation systems using inverse matrix and the Cramer's rule Lecturing and Problem solving method
14 Solution of linear equation systems using inverse matrix and the Cramer's rule Lecturing and Problem solving method
15 Linear programming: Graphical method Lecturing and Problem solving method
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Kılavuz Emine İktisatçılar için Matematik, 3. Baskı, Seçkin Yayınevi, Ankara, 2018
Required Course instruments and materials
1. Unutulmaz, Osman; Uygulamali Temel Matematik–2, 2. Baski, Detay Yayincilik, Ankara, 2010. (Main Text Book). 2. Aytaç, Mustafa; Mustafa Sevüktekin ve Erkan Isigicok; Sosyal Bilimlerde Matematik, 2. Baski, Ezgi Kitabevi, Bursa, 1998. 3. Hoffman, Laurence D.; Gerald L. Bradley; Calculus For Business, Economics, and The Social and Life Sciences, McGraw- Hill Inc., New York, 1992. 4. Dowling, Edward T.; Isletme ve Iktisat icin Matematiksel Yöntemler, Schaum's Outlines, (Çeviri: Ömer Faruk Çolak ve Murat Yildirimoglu), 1. Baski, Nobel Yayincilik, 2000.

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 2 12 24
       b) Search in internet/Library 0
       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 1 4 4
mid-term exam 1 1 1
Own study for final exam 1 5 5
final exam 1 1 1
0
0
Total work load; 77