Introduction to statistical methods relevant to research in the computational sciences. Core topics include probability theory, estimation theory, hypothesis testing, linear models, GLMs, and experimental design. Emphasis on developing a firm conceptual understanding of the statistical paradigm through data analyses.
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Wright |
PHO 203 |
TR 5:00 pm-6:15 pm |
|
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
B1 |
Wright |
CDS B64 |
M 4:40 pm-5:30 pm |
|
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
B2 |
Wright |
CDS B64 |
W 4:40 pm-5:30 pm |
|
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.