Course Catalog
Showing 1201-1215 of 1244 courses
per page
STAT 3080: From Data to Knowledge
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Closed
60/60
Harsimran Somal
2:00 PM - 3:15 PM
Mo,We
N/A
Lecture: 002
Open
53/60
Harsimran Somal
3:30 PM - 4:45 PM
Mo,We
N/A
Lecture: 003
Open
34/60
Harsimran Somal
5:00 PM - 6:15 PM
Mo,We
N/A
STAT 3110: Foundations of Statistics
Open
3.63
Highest GPA
3.63
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
59/60
Justin Weinstock
8:00 AM - 9:15 AM
Tu,Th
3.63
Lecture: 002
Closed
60/60
Justin Weinstock
9:30 AM - 10:45 AM
Tu,Th
3.63
STAT 3120: Introduction to Mathematical Statistics
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
77/80
Zach Lubberts
3:30 PM - 4:45 PM
Mo,We
N/A
Lecture: 002
Open
59/80
Zach Lubberts
5:00 PM - 6:15 PM
Mo,We
N/A
STAT 3220: Introduction to Regression Analysis
Open
3.80
Highest GPA
3.80
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
37/70
Krista Varanyak
8:00 AM - 9:15 AM
Tu,Th
3.80
Lecture: 002
Closed
69/70
Krista Varanyak
9:30 AM - 10:45 AM
Tu,Th
3.80
Lecture: 003
Closed
71/72
Krista Varanyak
11:00 AM - 12:15 PM
Tu,Th
3.80
STAT 3250: Data Analysis with Python
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
85/90
Taylor Brown
3:30 PM - 4:45 PM
Mo,We
N/A
STAT 3280: Data Visualization and Management
Open
3.69
Highest GPA
3.69
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Closed
60/60
Richard Ross
2:00 PM - 3:15 PM
Mo,We
3.69
Lecture: 002
Open
42/60
Richard Ross
3:30 PM - 4:45 PM
Mo,We
3.69
STAT 3480: Nonparametric and Rank-Based Statistics
Full
3.64
Highest GPA
3.64
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Closed
64/60
Justin Weinstock
2:00 PM - 3:15 PM
Tu,Th
3.64
STAT 3559: New Course in Statistics
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
17/60
Maria Ferrara
9:00 AM - 9:50 AM
Mo,We,Fr
N/A
STAT 4120: Applied Linear Models
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
41/60
Lingxiao Wang
5:00 PM - 6:15 PM
Mo,We
N/A
STAT 4160: Experimental Design
Full
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Closed
59/60
Taylor Brown
2:00 PM - 3:15 PM
Mo,We
N/A
Lecture: 002
Closed
59/60
Taylor Brown
5:00 PM - 6:15 PM
Mo,We
N/A
STAT 4220: Applied Analytics for Business
Full
3.76
Highest GPA
3.76
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Closed
44/40
Gretchen Martinet
9:30 AM - 10:45 AM
Tu,Th
3.76
Lecture: 002
Closed
44/40
Gretchen Martinet
11:00 AM - 12:15 PM
Tu,Th
3.76
STAT 4993: Independent Study
Full
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lab: 001
Open
0/5
Ken Ono
TBA
—
Lab: 002
Open
0/5
Jordan Rodu
TBA
—
Lab: 003
Open
0/30
Taylor Brown
TBA
—
Lab: 004
Closed
6/6
Harsimran Somal
TBA
—
STAT 4996: Capstone
Open
4.00
Highest GPA
3.98
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Closed
32/32
Richard Ross
1:00 PM - 1:50 PM
Mo,We,Fr
3.95
Lecture: 002
Closed
32/32
Jeffrey Woo
3:30 PM - 4:45 PM
Tu,Th
N/A
Lecture: 003
Open
30/32
Jeffrey Woo
5:00 PM - 6:15 PM
Tu,Th
N/A
Lecture: 004
Closed
4/4
Jeffrey Holt
8:00 AM - 8:50 AM
Mo,We,Fr
N/A
Lecture: 005
Closed
4/4
Jordan Rodu
9:00 AM - 9:50 AM
Mo,We,Fr
4.00
Lecture: 006
Closed
4/4
Dan Spitzner
9:00 AM - 9:50 AM
Mo,We,Fr
N/A
Lecture: 007
Closed
5/4
Martin Slawski
9:00 AM - 9:50 AM
Mo,We,Fr
N/A
STAT 5310: Clinical Trials Methodology
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
35/40
Sarah Ratcliffe
5:00 PM - 6:15 PM
Tu,Th
N/A
STAT 5630: Statistical Machine Learning
Open
N/A
Highest GPA
N/A
Average GPA
Section
Status
Enrollment
Instructor
Time
Days
GPA
Lecture: 001
Open
30/46
Lingxiao Wang
2:00 PM - 3:15 PM
Mo,We
N/A