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