COURSE UNIT TITLE

Offered By

Economics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HAKAN KAHYAOĞLU

Offered to

Economics

Course Objective

The aim of the course is to test economic (micro and macro) models that are subject to
economic theory with the help of econometric analysis techniques, to use artificial
intelligence tools with approaches that will provide the basis of data science for
economists (machine learning, deep learning) and to provide the student with the
ability to gain confidence in economic and financial forecasting.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Gujarati, Damodar N. (2016), Örneklerle Ekonometri, BB101 Yayınları-Chris, Brooks. (2014), Introductory Econometrics for Finance, 3rd edition by Palgrave
Cambridge University Press-R. Carter Hill, William E. Griffith and Guay C. Lim., (2007), Principles of
Econometrics by John Wiley & Sons -Dimitrios Asteiou and Stephan Hall (2015), Applied Econometrics 3rd edition by
Palgrave-Enders, Walter (1995), Applied Econometric Time Series, John Wiley and Sons, USA.- Uygur, Ercan (2001), Ekonometri: Yöntem ve Uygulama, Imaj Yay., Ankara.-James, Witten, Hastie, Tibshirani. An Introduction to Statistical Learning with
Applications in R, (2021)-James, Witten, Hastie, Tibshirani. An Introduction to Statistical Learning with
Applications in Python (2023)-Referanslar: Iktisadi ve ekonometrik modelleme Temelli (SSCI, Econlit vb.) yayınlar.-Other Matreials, Software for econometrics and data analysis
Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer, Introduction
To Econometrics With R,https://www.econometrics-with-r.org/, (2025-07-23)
Florian Heiss Using R for Introductory Econometrics, 2nd edition, 2020,
http://www.urfie.net/
Florian Heiss, Daniel Brunner, Using Python for Introductory Econometrics, 2020,
http://www.urfie.net/-Han, Jiawei (2011), Data Mining: Concepts and Techniques, 3rd
Open Resources
R, Python, Julia

Planned Learning Activities and Teaching Methods

As well as lecture and discussing about the facts, every subject will be supported by
econometric applications suitable with the theoritical framework which is defined..

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hakan.kahyaoglu@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes