Matrix Methods for Applications
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Overview
Description
Quantitative and qualitative analysis of systems of linear algebraic equations: Gauss-Jordan reduction, matrix theory, and linear vector spaces; diagonalization of an n by n matrix; and similarity, eigenvalues and eigenvectors, spectral theory for symmetric matrices, and diagonalization of quadratic forms with applications to principal component analysis.
Career
Graduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
35
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3