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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ECN 5050 MATHEMATICS FOR ECONOMISTS ELECTIVE 3 0 0 6

Offered By

Economics (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ADNAN KASMAN

Offered to

Economics (English)

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

None

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 Class Discussion 8 Integral Calculus 9 Difference Equations 10 Difference Equations 11 Difference Equations 12 Dynamic optimization 13 Dynamic optimization 14 General Overview

Recomended or Required Reading

Klein, M.C. (2001) Mathematical Methods for Economics, 2nd Edition, Addison Wesley. 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 MTE MIDTERM EXAM 2 FCG FINAL COURSE GRADE 3 FCGR FINAL COURSE GRADE MTE * 0.40 + FCG* 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

1. Midterm 2. Final Exam

Language of Instruction

English

Course Policies and Rules

Attending at least 70 percent of lectures is mandatory.

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 13 3 39 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) 151

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 5 LO.2 4 LO.3 4 5 LO.4 4 5