Table of Contents
Tools for Data Science
- 2019 spring, Central University of Finance and Economics
Bayesian Data Analysis
- 2017 summer, 2017 fall semesters, Central University of Finance and Economics
I stared this course when I was helping Mattias Villani for developing the programming course for both undergraduate and master students in Linköping University, Sweden. I also constructed the assignments for the computer lab. Below you can find the course materials. The course was further developed and enhanced by our guest professor Anastasios Panagiotelis from Monash University.
- 2014 spring, 2015 spring, 2016 spring, 2017 spring, and 2018 spring semesters, Central University of Finance and Economics
- 2012 spring semester, Linköping University, Sweden
Statistical Case Studies
- 2016 spring, 2017 spring, and 2018 spring semester, Central University of Finance and Economics
Distributed Statistical Computing for Big Data
A brand new course for Big Data analysis with distributed computing technology.
Time Series Analysis
Topics in time series and financial applications.
Python for Statisticians
This is an advanced level course for students mastering statistical methods, especially in Big Data analysis. Topics cover basic Python knowledge, data structure in Python, statistical modeling with Python, text mining and natural language process (NLP) and web scraping
- 2015 fall semester, Central University of Finance and Economics, China
The intention of this course to give undergraduate students who already have the knowledge of statistical computing a overview of state-of-the-art statistical computing tools. The course covers the following topics, efficient statistical programming, Statistical programming for big data, and Special topics in Statistical Computing.
- 2014 spring semester, Central University of Finance and Economics
The first part of this course focuses on fundamental econometric concepts and models with course book Basic Econometrics by Gujarati and Porter. The second part focuses on time series models with financial applications with course book Introduction to Time Series Analysis and Forecasting by Montgomery, Jennings and Kulahci. This belongs to my 20 percent teaching task for Department of Statistics, Stockholm University during the period 2008 autumn to 2013 spring. Below you can find the course materials.
- 2013 fall, 2014 fall, 2016 spring semesters, Central University of Finance and Economics
- 2008 fall – 2013 spring semester, Stockholm University, Sweden
This was the course I taught for master students at Department of Statistics, Stockholm University in 2013 summer. The course includes various topics in nonparametric regressions like splines, shrinkage, kernel regression, surface fitting, cross-validation. The course materials are available in Mondo.
- 2013 spring semester, Stockholm University
Academic English in Statistics
This course is designed for first year master students. The course is titled as English course but it covers various topics in statistics which includes Bayesian methods, nonparametric smoothing methods, MCMC technology. Besides, it will also touch the areas of scientific writing, presentations. This course is taught in English.