Teaching


August 2017 August 2018

Mathematical Methods for Economics


Designed for incoming graduate students in economics. Introduction to basic mathematical methods required for a proper understanding of the current economic literature, including equilibrium analysis, comparative statics and optimization problems. Topics include: linear models and matrix algebra, differential and integral calculus. Quiz

Fall 2014 Spring 2015 Spring 2016 Spring 2017

Introductory Statistics for the Social Sciences


Designed for students in the social science and business related fields of study. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences and business. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Syllabus

Fall 2015 Spring 2016 Fall 2016 Spring 2017 Fall 2017 Spring 2018 Fall 2018

ISSR Methodology Workshop: Applied Econometrics using Python


Emphasis on helping users apply econometric methods on Python. Topics include performing fundamental statistical operations, constructing relevant plots and conducting linear regressions.

Online Registration

ISSR Methodology Workshop: Exploring Data on Python


Emphasis on helping users with no prior programming background on Python. Topics include creating a .py file, performing simple data operations and building skills required for applied econometrics.

Online Registration

ISSR Methodology Workshop: Introductory MATLAB


Emphasis on helping users begin to use MATLAB. Topics include writing a simple M-file (including both scripts and functions), performing matrix and array operations, and using flow control statements.

Online Registration

ISSR Methodology Workshop: Intermediate MATLAB


Emphasis on constructing graphs and regression analysis. Topics include producing different plots using primary commands and writing a code to implement a standard Ordinary Least Squares (OLS) regression.

Online Registration

ISSR Methodology Workshop: Introduction to SAS


Emphasis on writing an efficient code on a default SAS text editor. Topics include set statement, data step, if/then statement, summary statistics, t-test and linear regression, and advanced concepts such as merge, retain and proc steps.

Online Registration

ISSR Methodology Workshop: Introduction to R


Emphasis on writing an efficient code on RStudio. Topics include: setting up R and creating a program, familiarity with basic data structures and operation, using loops, if/else statement and ggplot for customized scatterplots.

Online Registration

ISSR Methodology Workshop: Data Visualization Using R


Emphasis on writing codes to generate customized graphs using the RStudio environment. Topics include techniques to master the ggplot2 package.

Online Registration

ISSR Methodology Workshop: Data Visualization Using Stata


Emphasis on writing codes efficiently on a default STATA text editor to generate customized graphs, such as bar charts, histograms, kernel density plots and scatterplot.

Online Registration