2023 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 1600 | 1 | Session II | Introduction to Data Science with R ONLINE Connor Celum |
3 | ||
STAT 1601 | 1 | Session I | Introduction to Data Science with R ONLINE Prince Afriye |
3 | Online Synchronous | |
STAT 1602 | 1 | Session II | Introduction to Data Science with Python ONLINE Sydney Campbell |
3 | ||
STAT 2020 | 1 | Session II | Introduction to Biostatistics ONLINE Maria Ferrara |
4 | 10:30am to 12:45pm | |
STAT 2120 | 1 | Session III | Introduction to Statistical Analysis ONLINE Rich Ross |
4 | 10:30am to 12:45pm | |
STAT 2120 | 1 | Session I | Introduction to Statistical Analysis Rich Ross |
3 | 10:30am to 12:45pm | |
STAT 3120 | 1 | Session II | Mathematical Statistics ONLINE Prince Afriye |
3 | 10:30 am to 12:45 pm | |
STAT 3220 | 1 | Session II | Introduction to Regression Analysis Krista Varamyak |
3 | 10:30 am to 12:45 pm | |
STAT 3250 | 1 | Session II | Data Analysis with Python ONLINE Taylor Brown |
3 | 10:30 am to 12:45 pm | |
STAT 3280 | 1 | Session II | Data Management and Visualization Rich Ross |
3 | 10:30 am to 12:45 pm | |
STAT 4160 | 1 | Session III | Experimental Design ONLINE Maria Ferrara |
3 | ||
STAT 4170 | 1 | Session I | Applied Time Series Taylor Brown |
3 | 10:30 am to 12:45 pm | |
STAT 4630 | 1 | Session I | Statistical Machine Learning Shan Yu |
3 | 10:30 am to 12:45 pm |