Class times: 1:15 - 2:30 pm Tuesdays and Thursdays in LeConte College 103
Office hours: 3:00 - 4:00 pm Tuesdays and Wednesdays in LeConte College 216C
TA office hour: Patrick Jin, 12:00 - 1:00 pm Mondays in LeConte College 111
| R notes | Annotated | Code | Topics |
|---|---|---|---|
| R objects | Rscript | Introduction, types of objects in R | |
| R basic operations | Rscript | Arithmetic operations, logical comparisons, statistics functions, missing values, applying functions to matrices and arrays, making plots | |
| R defining functions | Rscript | Defining functions, conditional programming | |
| R for loops | Rscript | For loop, nested for loops | |
| R while loops | Rscript | While loops | |
| R statistics functions | Rscript | Statistics functions | |
| R Monte Carlo methods | Rscript | Monte Carlo methods for integration and optimization | |
| R Monte Carlo experiments | Rscript | Monte Carlo experiments for investigating performance of statistical inference methods | |
| R importing data | Rscript | Importing and formatting data | |
| R manipulating data | Rscript | Merging, stacking, reshaping, and aggregating data |
| Python notes | Annotated | Code | Topics |
|---|---|---|---|
| Python objects | Notebook Notebook 2 |
Introduction, types of objects, NumPy arrays | |
| Python basic operations | Notebook | Defining functions, plotting in Matplotlib, conditional programming | |
| Python loops | Notebook | For loops and while loops | |
| Python import data | Notebook | Importing data with the Pandas library | |
| Python manipulate data | Notebook | Merging, stacking, reshaping, and aggregating data |
| SQL notes | Annotated | Code | Topics |
|---|---|---|---|
| SQL basics | .qmd | Connecting to a data base, submitting basic queries | |
| SQL in R | .qmd | Storing SQL query results in R data frames |
| SAS notes | Annotated | Code | Topics |
|---|---|---|---|
| SAS import data | .sas | Importing data with the data step, proc import | |
| SAS manipulate data | .sas | Merging, stacking, aggregating, and reshaping data | |
| SAS stat methods (1/2) | .sas | One- and two-sample t-test, one-way ANOVA, simple linear regression | |
| SAS stat methods (2/2) | .sas | Multiple linear regression, ANOVA for two-way factorial experiments, ANCOVA, logistic regression |
| Homework | Due |
|---|---|
| R Homework 1 | Th. Sep 18, 11:59 pm. Render to html, print to pdf, upload to Blackboard. |
| R Homework 2 | Th. Oct 2, 11:59 pm. Render to html, print to pdf, upload to Blackboard. |
| Python Homework | Tu. Nov 11, 11:59 pm. Render Jupyter notebook to html, print to pdf, upload to Blackboard. |
| SQL Homework | Tu. Dec 2, 11:59 pm. Render to html, print to pdf, upload to Blackboard. |
| SAS homework | Fr. Dec 5, 11:59 pm. Upload to Blackboard. |
| Exams | Solutions |
|---|---|
| Exam I | Exam I sol |
| Exam II | Exam II sol |
| Final Exam, Th. Dec 11, 12:30 pm |