MAT 3341 Applied Linear Algebra

3 units
Mathematics
Faculty of Science
Vector and matrix norms. Schur canonical form, QR, LU, Cholesky and singular value decomposition, generalized inverses, Jordan form, Cayley-Hamilton theorem, matrix analysis and exponentials of matrices, eigenvalue estimation and the Gershgorin Circle Theorem; quadratic forms, Rayleigh and minima principles. This course includes proofs and applications of computational methods.

Components:

Lecture

Requirements:

Prerequisites: ( MAT 1322 or MAT 1325 ), ( MAT 2141 or MAT 2342 ).

Previously Offered Terms:

Winter
Summer

French Equivalent:

MAT 3741
GradesEvaluations
All Professors
B Average (6.117)
Most Common: A+ (19%)
539 students

P

S

NS

F

D

C

B

A-

A+

Monica Nevins

Summer 2024 - X00

C+ Average (4.585)
Most Common: F (32%)
41 students

P

S

NS

F

D

C

B

A-

A+

Diane Guignard

2 sections from Winter 2023 to Winter 2024

B+ Average (6.671)
Most Common: A+ (26%)
170 students

P

S

NS

F

D

C

B

A-

A+

Xinhou Hua

2 sections from Summer 2022 to Summer 2023

B+ Average (7.142)
Most Common: A+ (18%)
113 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - A00

B Average (5.631)
Most Common: B (19%)
111 students

P

S

NS

F

D

C

B

A-

A+

Alistair Savage

Summer 2019 - X00

B Average (5.500)
Most Common: A+ (19%)
26 students

P

S

NS

F

D

C

B

A-

A+

Michael Newman

Winter 2018 - A00

B Average (5.500)
Most Common: A+ (16%)
58 students

P

S

NS

F

D

C

B

A-

A+

Benoit Dionne

Summer 2017 - 3X00

C Average (4.050)
Most Common: C+ (20%)
20 students

P

S

NS

F

D

C

B

A-

A+