Suggested links:

1. R ShinyApp simulating the effect of fishing gear of salmon populations with Github code.
   

2. R ShinyApp visual of the number of graduates per year per program per university with Github code.
   

3. R code and details for acquiring and cleaning datasets from Open Government sources with Github code.
   

1. In Spring 2020 I taught the graduate Statistical Language models course.
   

1. Case Study Competitions 2023, (data details), 2019, 2017,2015.
   

1. Join the Data Science or Machine Learning Meetup Groups.  Visit our open Data Science reading group.
   

1. In Spring 2016 I taught the graduate Statistical Computing course.
   

1. Talk for the SFU/UBC stat graduate student seminar: How to get a job when you graduate, spoiler alert: you should already be looking
   

1. Matlab code for solving ‘very hard’ Sudoku
   

1. R code for decoding Cryptograms
   

1. Overview on statistical methods for differential equation models video at BIRS in Banff (Nov 2013).
   

1. Workshop on Statistical Methods for Dynamic System Models held in downtown Vancouver June 4-6 2009.
   

1. In May 2009 I taught Stat 890: Statistics for Dynamic System Models. This course was open to graduate students majoring in Statistics and Applied Mathematics. Notes and code are online
   

1. Metropolis Hastings vs Parallel Tempering comparison:
   

1. Two draws from a probabilistic differential equation solver:
   

Research ----- Prospective Students ----- Current Team ----- My Education----- Open Data Set Acquisition and Cleaning

© Dave Campbell 2007-

My Research ----- My Education ---- For Prospective Students ---- Current Team