COURSE UNIT TITLE

: MATHEMATICAL ECONOMICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
UEC 3002 MATHEMATICAL ECONOMICS COMPULSORY 3 0 0 6

Offered By

ECONOMICS (UOLP-SUNY ALBANY)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ADNAN KASMAN

Offered to

ECONOMICS (UOLP-SUNY ALBANY)

Course Objective

The aim of this course is to the help the learner to become familiar with the application of fundamental mathematical techniques to various types of economic problems.

Learning Outcomes of the Course Unit

1   Be able to describe an economic model using mathematical tools.
2   Be able to demonstrate understanding of basic mathematics and applications of constrained and unconstrained optimization so that s/he can apply them in various economic problems.
3   Be able to apply mathematical techniques to economic problems in both static and dynamic settings.
4   Be able to derive and draw economic insights from solutions to mathematically formulated economic problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

UEC 2003 - MACROECONOMICS I
UEC 2001 - MICROECONOMICS I

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The mathematical framework of economic analysis
2 Systems of equations and matrix algebra
3 Differential calculus
4 Constrained optimization
5 Constrained optimization
6 Integral Calculus
7 Integral Calculus
8 Difference Equations
9 Difference Equations
10 Differential Equations
11 Differential Equations
12 Dynamic optimization
13 Dynamic optimization
14 Problem Solving and Review

Recomended or Required Reading

1. Klein, M.C. (2001) Mathematical Methods for Economics, 2nd Edition, Addison Wesley.
2. Chiang, A.C. (2005), `Fundemantal Methods of Mathematical Analysis, Mc GrawHill.

Planned Learning Activities and Teaching Methods

1. Lecture
2. Problem Solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MT Midterm
2 FN Final
3 FCG FINAL COURSE GRADE MT * 0.40 + FN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MT * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will clearly define fundamental mathematical tools used in economic theory.
2. The learner will relate the mathematical tools to various types of econonomic problems.
3. The learner will quantify insights from economic models with the help of mathematical tools.
4. The learner will represent economic dynamics in mathematical form.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Tutorials 10 2 20
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 21 21
Preparation for final exam 1 25 25
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 148

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.1433
LO.244333
LO.344333
LO.44444434

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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