STAT 445/645 — Fall 2021
Three dimensional bell surface of a multivariate Gaussian distribution. Courtesy of Wikimedia Commons (CC 3.0)
Introduction
This is the course archive page for Introduction to Statistical Computing, STAT 445/645 FALL 2021 – Section 1001. Please see the menus below for class resources, handouts, lectures and activities archived from the class.
Course syllabus
Modules, assignments and grades will be posted through Web Campus.
Course information
Please note that there are no required textbooks and the lectures should be watched before class meeting sessions to prepare for activities. For deeper reading,
recommended resources are the following:
- R is required for the class. Students can get an installation file from the R project (free and open source software).
- Students are required to install the editor RStudio Free Desktop Edition for some class assignments.
- Students are also required to install LaTeX (free typesetting language). This is required to compile R Markdown.
- This class will utilize DataCamp with free educational license. Instructions for accessing this license will be sent by the instructor.
The archive of lectures, handouts and activities is below according to the semester schedule.
| Week | Day 1 | Day 2 | Day 3 |
|---|---|---|---|
| 08/23 - 08/29 |
Course introduction Supplementary Materials: |
Introduction to R and R Studio Activity sheets: Supplementary Materials: | R as a calculator and data types Activity sheets: Supplementary Materials: |
| 08/30 - 09/05 | DataFrames and factors Activity sheets: Supplementary Materials: | Subsetting data and vectorization part I Activity sheets: Supplementary Materials: | Subsetting data and vectorization part II Activity sheets: Supplementary Materials: |
| 09/06 - 09/12 |
No class 09/06 — Labor Day | Control flow in R Activity sheets: Supplementary Materials: | Advanced plotting in R Activity sheets: Supplementary Materials: |
| 09/13 - 09/19 | Writing functions in R Activity sheets: Supplementary Materials: | Reporting in Knitr and R Markdown Activity sheets: Supplementary Materials: | A review of discrete probability and sets in R Activity sheets: |
| 09/20 - 09/26 | A review of discrete probability distributions and random variables Activity sheets: | Continuous random variables and univariate distributions Activity sheets: | Other univariate distributions related to the normal Activity sheets: |
| 09/27 - 10/03 | Descriptive statistics in R Activity sheets: | Confidence intervals and hypothesis testing part I Activity sheets: | Confidence intervals and hypothesis testing part II Activity sheets: |
| 10/04 - 10/10 | Confidence intervals and hypothesis testing part III Activity sheets: | No new material — Work on Midterm 1 Project | No new material — Work on Midterm 1 Project |
| 10/11 - 10/17 | No new material — Work on Midterm 1 Project | No new material — Work on Midterm 1 Project |
No new material — Work on Midterm 1 Project
|
| 10/18 - 10/24 | Matrix algebra in R part I Activity sheets: | Matrix algebra in R part II Activity sheets: | Numerical integration in R Part I Activity sheets: |
| 10/25 - 10/31 | Numerical integration in R Part II Activity sheets: | Numerical differentiation in R Activity sheets: | No class 10/29 — Nevada Day |
| 11/01 - 11/07 | Unconstrained optimization in R part I Activity sheets: | Unconstrained optimization in R part II Activity sheets: | Constrained optimization in R Activity sheets: |
| 11/08 - 11/14 | Multivariate distributions in R part I Activity sheets: | Multivariate distributions in R part II Activity sheets: | Review Day |
| 11/15 - 11/21 | No new material — Work on Midterm 2 Project | No new material — Work on Midterm 2 Project | No new material — Work on Midterm 2 Project |
| 11/22 - 11/28 | No new material — Work on Midterm 2 Project | No new material — Work on Midterm 2 Project |
No class 11/26 — Family Day Midterm II Project due 11:59 PM 11/24 in Canvas |
| 11/29 - 12/05 | An introduction to multiple regression part I Activity sheets: | An introduction to multiple regression part II Activity sheets: | An introduction to maximum likelihood estimation Activity sheets: |
| 12/06 - 12/10 | Review day | No class 12/08 — Prep Day |
Final project due 12/10 5:00 PM in Canvas
|