MAT 4374 Computational Statistics

3 units
Mathematics
Faculty of Science
Computational workflow and notebooks. Integration with quadrature and Monte Carlo (rejection, importance and Markov chain sampling). Optimization techniques such as the EM algorithm and gradient descent. Error estimation such as bootstrap and cross-validation. Simulation studies. Statistical programming and the use of statistical software. Other topics in computational statistics at instructor’s discretion.

Components:

Lecture

Requirements:

Prerequisites: MAT 3172 , MAT 3375 .

Previously Offered Terms:

Fall
Winter

French Equivalent:

MAT 4774
GradesEvaluations
All Professors
A- Average (7.847)
Most Common: A+ (51%)
85 students

P

S

NS

F

D

C

B

A-

A+

Aaron Smith

Winter 2023 - A00

C+ Average (4.765)
Most Common: D+ (29%)
17 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - A00

A Average (9.000)
Most Common: A+ (68%)
50 students

P

S

NS

F

D

C

B

A-

A+

Kelly Burkett

Winter 2018 - A00

A- Average (7.556)
Most Common: A+ (39%)
18 students

P

S

NS

F

D

C

B

A-

A+