COURSE UNIT TITLE

: QUANTITATIVE METHODS IN ECONOMICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EFE 7035 QUANTITATIVE METHODS IN ECONOMICS COMPULSORY 3 0 0 6

Offered By

Master`s Degree in Financial Economics (Non-Thesis-Evening)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR SAADET KASMAN

Offered to

Master`s Degree in Financial Economics (Non-Thesis-Evening)

Course Objective

The aim of this course is to provide the basic tools of statistics, optimization and econometrics useful for analyzing data, with specific application to problems of economics and finance. It is meant to equip the students with the quantitative skills they need in economics and finance. Introduction to quantitative techniques widely used by economists; various methods of applied statistics that facilitate the understanding of economic and finance literature; elements of probability, correlation, multiple regression and hypothesis testing; manipulating and interpreting economic data are a list of topics analyzed.

Learning Outcomes of the Course Unit

1   Offer solutions to basic optimization problems.
2   Be able to collect raw data related to economic, financial and social topics, and make them ready for statistical and econometric analysis.
3   Use the methods of statistical inference.
4   Undertake test of hypothesis.
5   Run simple regressions.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Math and statistics review
2 Math and statistics review
3 Unconstrained and constrained optimization
4 Introduction to empirical models
5 Introduction to empirical models
6 Two-variable regression models
7 Midterm
8 Two-variable regression models
9 Assumptions of Classical Linear Regression Model
10 Confidence intervals and hypothesis testing
11 Multiple Linear Regression Models
12 Multicollinearity
13 Heteroscedasticity and Autocorrelation
14 Final Exam

Recomended or Required Reading

1. Gujarati, D. N. Basic Econometrics, 2nd Ed. McGraw-Hill, 1988
2. Lecture Notes

Planned Learning Activities and Teaching Methods

1. Lectures
2. Class Discussions
3. Assignments

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will clearly define basic quantitative methods used in economic modeling.
2. The learner will use necessary optimization methods to solve economic problems.
3. The learner will clearly recognize the problems with existing econometric models.
4. The learner will build econometric models for estimation purposes.
5. The learner will interpret empirical results and draw policy implications.

Language of Instruction

English

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.

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 12 3 36
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 25 25
Preparation for final exam 1 35 35
Preparing assignments 5 3 15
Midterm 1 2 2
Final 1 3 3
TOTAL WORKLOAD (hours) 140

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15545
LO.255555
LO.345545
LO.455455
LO.545545

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

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