This course uses SAS, R and high-level languages to perform statistical modelling by conducting statistical simulations to assess linear, generalized linear, nonlinear and complex models and experimental designs. Students will gain practical experience and knowledge in real-world statistical situations for which underlying theory is cumbersome or otherwise intractable.
STAT 421 - 001
Math Modeling & Simulation
Session
Regular Academic Session
Class Number
5607
Career
Graduate
Units
3 units
Grading
Graded
Description
This course uses SAS, R and high-level languages to perform statistical modelling by conducting statistical simulations to assess linear, generalized linear, nonlinear and complex models and experimental designs. Students will gain practical experience and knowledge in real-world statistical situations for which underlying theory is cumbersome or otherwise intractable.
Enrollment Requirements
Restricted to Graduate School students.
Class Notes
STAT 421 meets with STAT 321
Class Actions
Class Details
Instructor(s)
Gregory Matthews
Meets
TuTh 11:30AM - 12:45PM
Dates
08/24/2026 - 12/12/2026
Room
TBA
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
| Lecture Required |
Class Availability
Status
Open
Seats Taken
0
Seats Open
30
Combined Section Capacity
30
Wait List Total
0
Wait List Capacity
0
Combined Section
Modeling and Simulation
STAT 321 - 001 (5606)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0
Math Modeling&Simulation
STAT 421 - 001 (5607)
Status: Open - Enrl
Seats Taken: 0
Wait List Total: 0