Next: Datasets Up: syllabus2017 Previous: General Information

# Handouts

Syllabus

Information on midterm 1
Practice problems for midterm 1 Solutions on last year's web page under "Handouts"
Instructions that accompanied last year's midterm 1
Solutions to midterm 1 (.Rnw)
Solutions to midterm 1 (.bib)
Solutions to midterm 1 (.pdf)
Information on midterm 2
Practice problems for midterm 2 Solutions on last year's web page under "Handouts"
Solutions to midterm 2 (.Rnw)
Solutions to midterm 2 (.pdf)
Information on Final exam
Solutions to Final exam

Homework 1 Due 09/01/17
Supplementary homework Due 10/20/17; not required for some students
Homework 2, due 09/08/17
Document to create for Homework 2
Figure to include in Homework 2
Homework 3, due 09/15/17
Homework 3b, due 09/22/17
Homework 4, due 10/04/17
Homework 5, due 10/16/17
Homework 6, due 10/23/17
Homework 7, due 11/01/17
Homework 8, due 11/15/17
Homework 9, due 12/06/17

Lab 1, Aug. 25 (in 41 SH)
Lab 2, Sep. 01 (in 41 SH)
LaTeX article template
bibtexdemo.tex
lab2.bib
Lab 3, Sep. 8 (in 41 SH)
Lab 4, Oct. 13 (in 41 SH)

Lecture 1, Aug.21
Lecture 2, Aug.23
Lecture 3, Aug.28
Sample document to accompany Lecture 3
Lecture 4, Aug.30
Lecture 5, Sep. 06
Increases in R packages reported in R Journal 09/08/16
Lecture 6, Sep. 11
Lecture 7, Sep. 13
Material on Sweave for 09/15/17 (next 3 files)
noweb source file
.pdf file
Sweave style file (put in same directory as your .Rnw file; no need to print)
Lecture 8, Sep. 18
Lecture 9 09/20/17
Davidian R functions for simulation studies
Sample Size calculation for proportions
Sample Size calculations for confidence intervals for means
Lecture 10 09/22/17
Lecture 11, 09/29
Lecture 12, 10/02
Lecture 13 10/06/17
Lecture 14 10/09/17
Lecture 15 10/11/17
Lecture 16 10/11/17
No lecture numbered 17 this year
Lecture 18 10/16/17
Lecture 19 10/18/17
Lecture 20 10/20/17
Lecture 22 10/23/16 (Lecture 22 before Lecture 21 this year)
Lecture 21 10/25/16
Lecture 23 10/27/17
Lecture 24 10/30/17
Configuring Linux SAS
Lecture 26 11/01/17 (Lectures 26 and 27 before Lecture 25 this year)
Lecture 27 11/01/17
Lecture 25 11/08/17
Lecture 28 11/08/17
Lecture 29 11/10/17
Volunteer computing 11/13/17
Overview of Department High Performance Computing Resources
Neon cluster
Parallel computing in R using snow Demo of OpenCL package in R
Demo of CARrampsOcl package in R