Spring 2023 Computation, Mathematics & Qualitative Camp for Economists is organized by Inseikai Tohoku, from February 16 to March 31, 2023.
This Spring Camp aims to refresh your knowledge of Mathematics, Computation, and Qualitative Methodologies (Thematic Analysis) that will be used intensively during the Master’s and Ph.D. courses at Tohoku University. The Camp is free of charge for Tohoku University students.
DEADLINE for registration: JANUARY 31, 2023 (Tuesday) at 24:00
For more detail and the syllabus, see: https://github.com/thanhqtran/spring23_camp
Registration link: https://forms.gle/5YWPPtPbocFoAC57A
Feedback after Camp: https://forms.gle/gX7nbqb5wpTD6Co18
Computation Camp (February 16 – March 2, 2023)
Our intensive camp introduces how to code in MATLAB and Python as a beginner. Simultaneously, to transfer freely from one language to another, we will show how to solve the same problem in different programming languages. For example, how to load tables and merge them using Python, R, and Stata, separately; how to run matrix using MATLAB and Python separately; how to estimate OLS regression using Stata and R. MATLAB and Python are our main languages to learn, while experience in R or Stata would be beneficial.
 (02/16) Introduction: M Script (MATLAB); Jupyter Notebook (Python); Connect MATLAB and Python
 (02/17) Basic Knowledge I: Data Type; Arrays and Matrices
 (02/20) Basic Knowledge II: Arrays and Matrices: if, while, for; Define Functions
 (02/21) Basic Knowledge III: Data Processing Method (Python, R, and Stata): load files, write files, merge tables
 (02/22) Basic Knowledge IV: Data Processing Method (Python, R, and Stata): outliers, missing values, grouping statistics
(02/23) and (02/24) Homework Session
 (02/27) Visualization
 (02/28) Optimization Method
 (03/01) Statistical Analysis
 (03/02) Presentation [Final Homework]
Date: From February 16 to March 2, 2023
Time: Afternoon (14:00 — 18:00) every weekday.
Math Camp (March 6 – March 23, 2023)
This camp reviews the basics of mathematic skills needed for Economic Analysis. We will review algebra, and calculus, and how to apply such knowledge in solving economic problems such as optimizat.n..
Each session will be split into the lecture part and the exercise (problem-solving) part, with a lunch break in between. Students are expected to participate in all sessions.
 (03/06) Review of Algebra
 (03/07) Solving Equations
 (03/08) Functions of One Variable
 (03/09) Properties of Functions
 (03/10) Differentiation
 (03/13) Differentiation in Use
 (03/14) Single-Variable Optimization
 (03/15) Integration
 (03/16) Functions of Many Variables
 (03/17) Comparative Statics
 (03/20) Multivariable Optimization
 (03/21) Constrained Optimization
 (03/22) Matrix Algebra
 (03/23) Some Economic Problems
 (03/24) Some Economic Models
Date: From March 6 to March 23, 2023
Time: Afternoon (13:30 — 15:00) for lecture and 9:30 — 12:00 for problem-solving, every weekday.
Qualitative (Thematic Analysis) Camp (March 27 – March 31, 2023)
Thematic analysis is a method of analyzing qualitative data, such as interview transcripts, open-ended survey responses or focus group transcript to to identify and understand the themes that emerge from the data. It is a flexible and widely used method of analysis that allows researchers to identify patterns and themes within their data, and to interpret the meanings and implications of those themes for their research question or study.
In this course, you will learn how to conduct a thematic analysis, from start to finish using multiple qualitative software like MAXQDA 2022 and ATLAS.ti 22. We will cover the theoretical foundations of thematic analysis and the practical steps involved in conducting a thematic analysis, including developing a research question, selecting and collecting data, coding and organizing the data, and interpreting and reporting the results. We will also discuss the strengths and limitations of thematic analysis and ethical considerations in conducting qualitative research.
By the end of this course, you will have the skills and knowledge to conduct a thematic analysis of your own, and to critically evaluate the use of thematic analysis in published research.
Each session will be split into the lecture and exercise parts, with a lunch break in between. Students are expected to participate in all sessions.
-  (03/27) Thematic Analysis and Research design
-  (03/28) Coding with MAXQDA 2022 & ATLAS.ti 22
-  (03/29) Data Theming and Analysis with MAXQDA 2022 & ATLAS.ti 22
-  (03/30) Thematic Mapping and Data Visualization
-  (03/31) Practical applications of thematic analysis using MAXQDA 2022 and ATLAS.ti 22
Date: From March 27 – March 31, 2023
Time: Morning (10:00 — 12:00) for lecture and 13:30 — 15:00 for problem-solving, every weekday, with a lunch break in between.
Rashed Al Jayousi, Feng Youxin