stat 480

Applied statistical computing

Spring 2015

Tuesday & Thursday. 9:30–10:50. Gilman 2272

Heike Hofmann,
Office hours: T/TR after class, Snedecor 2413

Rodrigo Plazola-Ortiz,
Office hour: W 12-1, Snedecor 3404


Course syllabus describing objectives, software used, modules and assessment.

Cheat sheets

Lectures and timetable

Feedback Form
Date Lecture and Resources Homework
Data collection and organisation with Excel
13 Jan Introduction and excel basics
15 Jan Data collection Week 1, due 22 Jan.
20 Jan Organizing Data
22 Jan Summarizing and exploring data Week 2, due (now) Feb 3.
27 Jan Numeric and Visual Data Summaries
29 Jan Graphics in Excel Project I, due 5 Feb/17 Feb.
Introduction to R through graphics
3 Feb Introduction to R
5 Feb Draft project review, Project Work Week 4, due 11 Feb.
10 Feb Graphics in R
12 Feb Subsetting Data Week 5, due 24 Feb.
17 Feb Factors in R
19 Feb Reshaping Data: Melt and Cast Project 2, due Feb 26/Mar 10.
Programming in R
24 Feb Loops w/o loops & Functions Week 6, due 5 Mar
26 Feb plyr & Functions
3 Mar Functions and conditionals Week 7, due 12 Mar
5 Mar Loops and why to avoid them
Advanced Graphics in R
10 Mar Maps in R, Time Series No homework!
12 Mar Time series
17/19 Mar Spring break
24 Mar Simulation
26 Mar More on Simulation Week 8, due Apr 2
31 Mar Midterm Exam Project 3, due 7 Apr/21 Apr/7 May
Interactive Graphics
2 Apr Interactive Graphics with iplots Week 10, due Apr 9
7 Apr Clustering in R and ggobi
Dealing with very large data in R
9 Apr Databases in R: dplyr and MySQL abstract submission, old presentation schedule and abstracts (Spring 2013)
14 Apr SQL and Joins Week 13, due Apr 21
SAS, the industry standard
16 Apr SAS Enterprise Guide
21 Apr First Programming Steps in SAS
23 Apr Polishing your presentation
Project presentations
28 Apr
(dead week)
Project presentations
30 Apr
(dead week)
Project presentations
5 May
(finals week) Wed 9:45-11:45 a.m.
Project presentations

Useful links

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