Course information

1:25-3:10 MW, on zoom

Dr. Rashid’s office hours: M (after class)
Grader office hours: M 4-5, zoom

Syllabus

Schedule and course notes

For Rmd files, go to the course repo and navigate the directories, or best of all to clone the repo and navigate within RStudio.

Week Topic Dir. HW HTML Title
Module 1 Sci. research
Jan 10 R code rpkg hw efficient Readable and efficient R code
Jan 12, 19 R package rpkg hw build Building an R package
document Documenting an R package
test Writing package tests
debug Debugging in R
Jan 24 C++ from R rpkg hw rcpp Calling C++ with Rcpp
Jan 26, 31 Large data large hw datatable Working with data.table
sqlite Working with RSQLite
hdf5 Working with rhdf5
sparse Sparse data manipulation
Module 2 Optim. & Num. int.
Feb 2, 7, 9 General optim. optim hw optim General optimization
Feb 14, 16 EM algorithm em hw em EM algorithm
Feb 21, 23 Numer. integration numint hw numint Numerical integration
Feb 28, Mar 2, 7 General MCMC mcmc hw hw2 mcmc General MCMC
Mar 9, 14 Advanced MCMC advmcmc hw advmcmc Advanced MCMC
Module 3 Mach. learning
Mar 16, 21, 23 ML essentials ml hw essentials Machine learning essentials
Mar 28, 30 SVM, RF ml hw svm Support vector machines
rf Random forests
Apr 4, 6 NN, Guest Lecture ml nn Neural networks
Apr 11, 13 Projects
Apr 18, 20 Projects, Wrap-up
Apr 25, 27 Wrap-up

This page was last updated on 04/13/2022.