2022 Course Listing - Statistics
Time and Place of Classes:
Unless otherwise stated, classes meet once a day, five days a week at the hours listed after the course title. Classroom assignments will be available on SIS.
| Course # | Section | Session | Title | Credits | Time | |
|---|---|---|---|---|---|---|
| STAT 1601 | 1 | Session II | Introduction to Data Science with R (Remote) Evan Bagley |
3 | 10:30 am to 12:45 pm | |
| STAT 1601 | 2 | Session III | Introduction to Data Science with R (Remote) Prince Afriye |
3 | Online Asynchronous | |
| STAT 1601 | 3 | Session III | Introduction to Data Science with R Connor Celum |
3 | 10:30 am to 12:45 pm | |
| STAT 2020 | 1 | Session I | Statistics for Biologists Maria Ferrara |
4 | 10:30 am to 12:45 pm | |
| STAT 2020 | 1 | Session III | Statistics for Biologists (Remote) Maria Ferrara |
4 | 10:30 am to 12:45 pm | |
| STAT 2120 | 1 | Session II | Introduction to Statistical Analysis (Remote) Rich Ross |
4 | 10:30 pm to 12:45 pm | |
| STAT 2120 | 1 | Session I | Introduction to Statistical Analysis Richard Ross |
4 | 10:30am to 12:45pm | |
| STAT 3080 | 1 | Session I | From Data to Knowledge (Remote) Evan Bagley |
3 | 10:30 am to 12:45 pm | |
| STAT 3110 | 1 | Session I | Foundations of Statistics (Remote) Noah Gade |
3 | 10:30 am to 12:45 pm | |
| STAT 3120 | 2 | Session I | Introduction to Mathematical Statistics Prince Afriyie |
3 | 10:30 am to 12:45 pm | |
| STAT 3250 | 1 | Session II | Data Analysis with Python (Remote) Taylor Brown |
3 |