PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IKT 536	MATHEMATICAL ECONOMICS II	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	Students will be introduced to the tools used to analyze optimization problems and to solve intermediate and higher range of micro and macro economic problems.
Course Content	Intruduction, metric and norm space, vector space and linear transforms, differantial equations, comparative stationary models, convex clusters and concave fonctions, static optimization, microeconomy applications, dynamic models: basic opinion, advenced topics and some applications, introduction to dynamic optimization, dynamic optimization application. .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Understand and use matehematical models at economic investigation.
2	Acquire important mathematical tools used by economists.
3	Understand interrelationship of mathematics and economics on the theoretical level.
4	Gain ability of solving problem.
5	Derive policy implications by using mathematichal argument.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	4	5	4	5	5	5
LO 002	5	5	5	5	5	5	5	5	5	5	5	5
LO 003	5	5	5	5	5	5	5	5	5	5	5	5
LO 004	5	5	5	5	5	5	4	5	5	4	5	5
LO 005	5	4	5	4	5	4	5	5	5	5	5	5
Sub Total	25	24	25	24	25	24	23	25	24	24	25	25
Contribution	5	5	5	5	5	5	5	5	5	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	13	5	65
Hours for off-the-classroom study (Pre-study, practice)	13	3	39
Assignments	2	13	26
Final examination	1	39	39
Midterm	1	26	26
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
IKT 536	MATHEMATICAL ECONOMICS II	3 + 0	1	Turkish	2012-2013 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. MUSTAFA SERDAR İSPİR	sispir@pau.edu.tr		İİBF A0206	%70

Goals		Students will be introduced to the tools used to analyze optimization problems and to solve intermediate and higher range of micro and macro economic problems.
Content		Intruduction, metric and norm space, vector space and linear transforms, differantial equations, comparative stationary models, convex clusters and concave fonctions, static optimization, microeconomy applications, dynamic models: basic opinion, advenced topics and some applications, introduction to dynamic optimization, dynamic optimization application. .

Topics

Weeks	Topics
1	Optimization problems
2	Exponential and Logarithmic Functions
3	Exponential and Logarithmic Functions(continue)
4	The case of More than One Choice Variable
5	The case of More than One Choice Variable(continue)
6	Optimization with Equality Constraints
7	Optimization with Equality Constraints(continue)
8	Further Topics in optimization
9	Further Topics in optimization(continue)
10	Economic Dynamic and Integral Calculus
11	Economic Dynamic and Integral Calculus(continue)
12	Continous Time: First order Differential Equations
13	Continous Time: First order Differential Equations(continue)
14	Simultaneous Differential Equations

Materials

Materials are not specified.

Resources

Resources	Resources Language
	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student