MAT 3378 Analysis of Experimental Designs

3 units
Mathematics
Faculty of Science
Theory and analysis of common experimental designs: factorial designs, designs with blocking, split-plot, random effects models. Sample size and power determination. Simultaneous inference. Nested and crossed factors. Introduction to other designs: fractional factorial, response surface designs. Analysis of data using statistical software packages.

Components:

Laboratory
Lecture

Requirements:

Prerequisites: MAT 1341 , MAT 2371 , MAT 3375 .

Previously Offered Terms:

Winter
Summer

French Equivalent:

All Professors
B+ Average (7.102)
Most Common: A+ (32%)
411 students

P

S

NS

F

D

C

B

A-

A+

David Haziza

2 sections from Winter 2023 to Summer 2024

C Average (4.279)
Most Common: F (19%)
43 students

P

S

NS

F

D

C

B

A-

A+

Youssouph Cissokho

Summer 2024 - X01

No grade data available for this course.

Gilles Lamothe

3 sections from Winter 2018 to Winter 2024

A- Average (8.305)
Most Common: A+ (46%)
233 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - A00

B Average (5.661)
Most Common: B+ (17%)
59 students

P

S

NS

F

D

C

B

A-

A+

Kelly Burkett

Winter 2019 - A00

B+ Average (6.698)
Most Common: A (17%)
53 students

P

S

NS

F

D

C

B

A-

A+

Zahra Montazeri-Najafabadi

Summer 2018 - X00

C+ Average (4.826)
Most Common: B (22%)
23 students

P

S

NS

F

D

C

B

A-

A+