TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Third Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	3
NAME OF LECTURER(S)	Assistant Professor Seda Köymen Özer Instructor Özlem Aytaç
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Interpret the concept of equilibrium in economics mathematically. 2) Define the rules of matrices and determines the role of matrices in solving economic problems. 3) Develop their ability to solve economic problems with abstract models and to use the basic tools needed in modern analysis of economic problems. 4) Analyze economic models with optimization method.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	This course aims to teach the quantitative tools required to present and analyze economic problems with the help of a model. At the end of the course, it is aimed that the student will gain the following competencies and skills.
COURSE CONTENTS	WEEK TOPICS 1st Week Mathematics and Economics 2nd Week Economic Models 3rd Week Equilibrium Analysis 4th Week Linear Models and Matrix Algebra 5th Week Linear Models and Matrix Algebra 6th Week Comparative Statics and the Concept of the Derivative 7th Week Rules of Differentiation and their use in Comparative Statics 8th Week Midterm 9th Week Comparative-Static Analysis of General-Function Models 10th Week Optimization: A Special Variety of Equilibrium Analysis 11th Week Optimization: A Special Variety of Equilibrium Analysis 12th Week Exponential and Logarithmic Functions 13th Week The Case of More Than One Choice Variable 14th Week Optimization with Equality Constraints
RECOMENDED OR REQUIRED READING	Fundamental Methods of Mathematical Economics, Kevin Wainwright, Alpha Chiang , McGraw-Hill, 2005
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion, Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Quiz 2 30 Total(%) 65 Contribution of In-term Studies to Overall Grade(%) 65 Contribution of Final Examination to Overall Grade(%) 35 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1 1 Preparation for Quiz 2 2 4 Individual or group work 14 2 28 Preparation for Final exam 1 15 15 Course hours 14 3 42 Preparation for Midterm exam 1 10 10 Laboratory (including preparation) 0 0 0 Final exam 1 1 1 Homework 0 0 0 Total Workload 101 Total Workload / 30 3,36 ECTS Credits of the Course 3
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No