James Gentle

Some courses that I taught in Shenzhen, China

Harbin Institute of Technology Shenzhen Graduate School

• Computational Finance, Summer, 2015
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Georgia Tech Shenzhen

• ISYE 6740 Computational Data Analysis / Machine Learning, Fall, 2018
  

Some courses that I taught at George Mason University

Undergraduate Courses

• CDS 130: Computing for Scientists
  
  Spring 16 Fall 15 Spring 15 Fall 14

• STAT 362 Introduction to Computer Statistical Packages
  
  Spring 07

Graduate Courses

• CSI 678 / STAT 658 Time Series Analysis and Forecasting
  
  Fall 12 Fall 10

• CSI 701 (formerly 801) / IT 814 Foundations of Computational Science
  
  Spring 00 Fall 99 Fall 98 (with John Wallin) Fall 95

• CSI 703 (formerly 803) / IT 875 Scientific and Statistical Visualization
  
  Spring 99 (with Dan Carr)
  

• CSI 709 Topics in the Computational Sciences
  Spring 09 Monte Carlo Methods in Science

• CSI 771 / STAT 751 Computational Statistics
  
  Fall 15 Fall 13 Fall 11 Fall 09 Spring 07 Fall 05 Fall 02 Fall 00 Fall 98 Fall 96 Fall 94

• CSI 772 Statistical Learning
  
  Spring 16 Spring 15 Spring 13     Spring 11

• CSI 779 Topics in Computational Statistics
  
  Spring 14: Analysis of Financial Time Series
  Fall 06: Statistical Modeling of Financial Data
  Spring 03: Robust Statistical Methods
  Spring 02: Topics in Analysis of Financial Data
  Spring 01: Statistical Methods in Finance
  Spring 00: Optimization Methods in Statistics
  Spring 99: Monte Carlo Methods
  Spring 95: Data Partitioning and Resampling

• CSI 972 / STAT 972 / IT 972 and CSI 973 / STAT 973 / IT 973 Mathematical Statistics I and II
  
  I've written an extensive set of notes, almost like a book, for these courses.
  CSI 972 / STAT 972: Fall 12 Fall 11 Fall 10 Fall 09 Fall 08 Fall 07 Fall 05 Fall 03 Fall 01
  CSI 973 / STAT 973: Spring 13 Spring 12 Spring 11 Spring 10 Spring 08 Spring 06 Spring 04 Spring 02

• CSI 979 / IT 979 Advanced Topics in Computational Statistics
  
  Spring 96: Generalized Additive Models
  Spring 94: Multivariate Density Estimation

• CSI 996 Topics in Computational Statistics
  Fall 15: Unit Roots and Cointegration
  

Seminars

• CSI 991 Seminar in Computational Statistics
  (formerly CSI 970)
  Recently I've been running the seminars as a journal club in which students make presentations on recent articles.
  Spring 12 Comparing Bayesian and Frequentist Approaches to Statistical Inference
  Fall 11 Bayesian Methods
  Spring 11 Latent Variables Models
  Fall 10 Bayesian Computations in R
  Summer 10 Statistical Learning
  Spring 10 Statistical Learning
  Fall 09 Statistical Learning
  Summer 09 Statistical Learning
  Spring 09 Statistical Computing with R
  Fall 08 Statistical Computing with R
  Spring 08 Statistical Computing with R
  Fall 07 Data Mining
  Spring 07 Data Mining
  Fall 06 Data Mining
  Spring 06: Data Mining
  Fall 05: Data Mining
  Spring 05: Data Mining
  Fall 04: Data Mining
  Spring 04: Data Mining
  Fall 03: Data Mining
  Summer 03: Logistic Regression
  Spring 03: New (and Old) Ways of Looking at Regression, continued
  Fall 02: New (and Old) Ways of Looking at Regression
  Spring 02: Statistical Learning
  Fall 01: Classification and Regression Trees; CART and MARS
  Summer 01: More on Robust Statistical Methods
  Spring 01: Robust Statistical Methods
  Spring 96: Alternatives to Least Squares II
  Fall 95: Alternatives to Least Squares
  Spring 95: Fitting Generalized Additive Models

Research