A. Course Content

• Lesson 1 | LaTeX Fundamentals and Document Structure: Classes, Title Page, Sections, and Numbering
• Lesson 2 | Formatting Commands: Sentence and Paragraph Formatting, Lists, Footnotes and Headings, Multiple Columns and Tables
• Lesson 3 | Mathematical Formulas: Mathematics Mode and Its Components, Theorem, Proposition etc. Mediums, Symbols
• Lesson 4 | Table of Contents, Resources, and Indexing: Contents Page, Writing and Citing Resources, Indexing, Indexing Resources with BibTeX
• Lesson 5 | Portfolio: Article Creation

B. Duration of the Lesson

• 5 Days / 3 Hours / Total 15 Hours

C. Course Date

• Lesson 1 | February 26, 2024 – Monday / 5 PM
• Lesson 2 | February 27, 2024 – Tuesday / 5 PM
• Lesson 3 | February 28, 2024 – Wednesday / 5 PM
• Lesson 4 | February 29, 2024 – Thursday / 5 PM
• Lesson 5 | March 1, 2024 – Friday / 5 PM

D. Language of Instruction / Teaching System

• Turkish & English / Offline

E. Recommended Resources

• Tobias Oetiker, The Not So Short Introduction to LATEX2, A Simplified Introduction to LaTeX,2016
• Murat Donduran, İktisatçılar için LATEX, Ders Notu, 2014
• Dilip Datta,LATEX in 24 Hours: A Practical Guide for Scientific Writing,Springer, (2016)

A. Course Content

• Lesson 1 | Basic concepts of scientific research, Research problem and research questions
• Lesson 2 | Method: Characteristics of qualitative and quantitative research, Determination of sample/participant, data collection tools, Data analysis, validity and reliability
• Lesson 3 | Qualitative Research Patterns in Education
• Lesson 4 | Reporting of Researches
• Lesson 5 | Scientific ethics

B. Duration of the Lesson

• 5 Days / 2 Hours / Total 10 Hours

C. Course Date

• Lesson 1 | February 26, 2024 – Monday / 8 PM
• Lesson 2 | February 27, 2024 – Tuesday / 8 PM
• Lesson 3 | February 28, 2024 – Wednesday / 8 PM
• Lesson 4 | February 29, 2024 – Thursday / 8 PM
• Lesson 5 | March 1, 2024 – Friday / 8 PM

D. Language of Instruction / Teaching System

• Turkish & English / Offline

E. Recommended Resources

• Coşkun, R. Altunışık, R. and Yıldırım, E. (2017). Research Methods in Social Sciences, Updated 9th Edition, Ankara: Seçkin.
• Seyidoglu, Halil (2016). Handbook of Scientific Research and Writing. Enhanced 11th Edition, Istanbul: Güzem.
• Sekaran, Uma and Bougie, Roger. (2012). Research Methods for Business: A Skill Building Approach. 5th Edition
• Yıldırım, A. and Şimşek, H. (2018). Qualitative Research Methods in Social Sciences, 2nd Revised Edition, Ankara: Seçkin.
• Zikmund, W.G. (2003). Business research methods. 7th Edition. Thomson (South Western) Publications

A. Course Content

• Lesson 1 | Unit Root Concept and Random Walk, Pure Random Walk, Fixed Random Walk, Fixed and Trend Random Walk
• Lesson 2 | Unit Root Tests DF/ADF Test, Phillps & Perron Test KPSS Test, DF-GLS Test, Unit Root Tests Under Structural Break
• Lesson 3 | The Concept of Cointegration, Error Correction Model (ECM), Coefficient of Adaptation, Engle Granger Cointegration Test, Cointegration Test Under Structural Break, Cointegration Applications
• Lesson 4 | Autoregression (AR), Moving Average (MA) and ARMA Models, Box-Jenkins ARIMA Modeling
• Lesson 5 | VAR Models, Impulse-Response Functions, Variance Decomposition, Granger Causality Test

B. Duration of the Lesson

• 5 Days / 3 Hours / Total 15 Hours

C. Course Date

• Lesson 1 | March 4, 2024 – Monday / 5 PM
• Lesson 2 | March 5, 2024 – Tuesday / 5 PM
• Lesson 3 | March 6, 2024 – Wednesday / 5 PM
• Lesson 4 | March 7, 2024 – Thursday / 5 PM
• Lesson 5 | March 8, 2024 – Friday / 5 PM

D. Language of Instruction / Teaching System

• Turkish & English / Offline

E. Recommended Resources

• Enders, W., Applied Econometric Time Series, John Wiley, 2004.
• Franses, P.H., ve Dick van Dijk, Non-linear Time Series Models in Empirical Finance, Cambridge Univ. Press, 2000.
• Franses, P.H., Time Series Models for Business and Economic Forecasting, Camb.Uni.Press, 1998.
• Hamilton, J., Time Series Analysis, Princeton Uni. Press, 2020.
• Patterson, K., Introduction to Econometrics, A Time series Approach, 2001.
• Tsay, R.S., Analysis of Financial Time Series, John Wiley, 2010.

A. Course Content

• Lesson 1 | Introduction to Panel Data, Static Homogeneous Data Models, Comparisons, and Testing Deviations from Assumptions
• Lesson 2 | Estimation Methods of Static Homogeneous Panel Data Models with Time-Invariant Variables
• Lesson 3 | Dynamic Homogeneous Panel Data Models and Prediction Methods
• Lesson 4 | Heterogeneous Panel Data Models, Comparison with Homogeneous Panel Data Models, Estimation Methods of Heterogeneous Panel Data Models
• Lesson 5 | Cross-Section Dependency and Testing, Estimation Methods for Cross-Section Dependency
• Lesson 6 | Panel Unit Root Tests
• Lesson 7 | Panel Cointegration Tests
• Lesson 8 | Panel Causality Tests

B. Duration of the Lesson

• 8 Days / 3 Hours / Total 24 Hours

C. Course Date

• Lesson 1 | March 25, 2024 – Monday / 5 PM
• Lesson 2 | March 26, 2024 – Tuesday / 5 PM
• Lesson 3 | March 27, 2024 – Wednesday / 5 PM
• Lesson 4 | March 28, 2024 – Thursday / 5 PM
• Lesson 5 | March 29, 2024 – Friday / 5 PM
• Lesson 6 | March 30, 2024 – Saturday / 5 PM
• Lesson 7 | March 31, 2024 – Sunday / 5 PM
• Lesson 8 | April 1, 2024 – Monday / 5 PM

D. Language of Instruction / Teaching System

• Turkish & English / Offline

E. Recommended Resources

• Arellano, Manuel., 2004, “Panel Data Econometrics” (1st Ed.), Oxford University Press
• Asteriou D., &; Hall S., 2021, “Applied Econometrics” (4th Ed.), Bloomsbury Publishing.
• Baltagi B. H., 2013, “Econometric Analysis of Panel Data” (5th Ed.), Chichester: John Wiley&Sons.
• Biørn, Erik., 2016, “Econometrics of Panel Data: Methods and Applications” (1st Ed.),Oxford Academic.
• Hsiao, Cheng., 2014, “Analysis of Panel Data” (3rd Edition), Cambridge University Press, New York.
• Wooldridge J. M., 2011, “Econometric Analysis of Cross Section and Panel Data” (2nd Ed.), Cambridge, MIT Press.