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Handouts

Syllabus


Information on Midterm 1
Practice problems for Midterm 1 (Solutions are on last year's web page as the solutions to Midterm 1.)
Solutions to Midterm 1 (.Rnw)
Solutions to Midterm 1 (.bib)
Information on Midterm 2
Practice problems for Midterm 2 (Solutions are on last year's web page as the solutions to Midterm 2.)
Solutions to Midterm 2
Information on Final Exam
Practice problems for Final Exam
Final Exam

Homework 1, due 09/02/16
Supplementary Homework (required only for some students) due 10/21/16
Homework 2, due 09/09/16
Document to create for Homework 2
Figure to include in Homework 2
Homework 3, due 09/19/16
Homework 3b, due 09/26/16
Homework 4, due 10/05/16 To be done in groups of 2 or 3 students.
Homework 5, due Mon. 10/17/16
Homework 6, due Wed. 10/26/16
Homework 7, due Mon. 11/07/16
Homework 8, due Fri. 11/18/16
Homework 9, due Wed. 12/07/16

Lab 1, Aug. 26 (in 41 SH)
Lab 2, Sep. 02 (in 41 SH)
LaTeX article template
bibtexdemo.tex
lab2.bib
Lab 3, Sep. 09 (in 41 SH)
Lab 4, Oct. 14 (in 41 SH)

Lecture 1, Aug.22
Lecture 2, Aug.24
Lecture 3, Aug. 29
Sample document to accompany Lecture 3
Lecture 4, Aug. 31
Lecture 5, Sep. 07
Increases in R packages reported in R Journal 09/08/16
Lecture 6, Sep. 12
Lecture 7, Sep. 14
Material on Sweave for 09/16/16 (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 09/19/16
auxiliary file for Lecture 8
Lecture 9 09/21/16
Davidian R functions for simulation studies
Sample Size calculation for proportions
Sample Size calculations for confidence intervals for means
Lecture 10 09/23/16
Lecture 11 09/26/16
Lecture 12 10/05/16
Lecture 13 10/07/16
Lecture 14 10/10/16
Lecture 15 10/12/16 Relational database concepts
Lecture 16 10/17/16
No lecture numbered 17 this year
Lecture 18 10/17/16
Lecture 19 10/19/16
Lecture 20 10/24/16
Lecture 22 10/26/16 (Lecture 22 before Lecture 21 this year)
Lecture 21 10/28/16
Lecture 23 10/28/16
Lecture 24 11/02/16
Lecture 26 11/02/16 (Lectures 26 and 27 before Lecture 25 this year)
Lecture 27 11/07/16
Lecture 25 11/09/16
Lecture 28 11/09/16
Configuring Linux SAS
Lecture 29 11/11/16
Lecture 30 11/14/16
Overview of Department High Performance Computing Resources
Neon cluster
Parallel computing in R using snow
More information on running SAS under Linux
Review material for 11/30/2016 (2011 final exam) Review material for 12/02/2016 (2010 final exam)

Kate Cowles 2016-08-09