Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy
Definitions of Course Characteristics (pdf)

Course Descriptions: Search Results

MTH 415  Applied Linear Algebra

Description:
Matrices and linear algebra. General linear systems of equations, least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, exponentials.
Effective Dates:
FS92 - US99


MTH 415  Applied Linear Algebra

Description:
Matrices and linear algebra. General linear systems of equations, least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, exponentials.
Effective Dates:
FS99 - FS99


MTH 415  Applied Linear Algebra

Description:
Matrices and linear algebra. General linear systems of equations, least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, exponentials.
Effective Dates:
SS00 - US05


MTH 415  Applied Linear Algebra

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
MTH 235 or MTH 255H or LBS 220
Recommended Background:
MTH 309 or MTH 314
Restrictions:
Not open to students in the Bachelor of Arts in Mathematics or Bachelor of Science in Mathematics or Lyman Briggs School Mathematics coordinate majors.
Not open to students with credit in:
MTH 414
Description:
Matrices and linear algebra. General linear systems of equations, least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, exponentials.
Effective Dates:
FS05 - FS06


MTH 415  Applied Linear Algebra

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(MTH 235 or MTH 255H or LBS 220) and (MTH 309 or MTH 314)
Not open to students with credit in:
MTH 414
Description:
Matrices and linear algebra. General linear systems of equations. Least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, and exponentials.
Effective Dates:
SS07 - FS07


MTH 415  Applied Linear Algebra

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(MTH 235 or MTH 255H or MTH 340) and (MTH 309 or MTH 314)
Not open to students with credit in:
MTH 414
Description:
Matrices and linear algebra. General linear systems of equations. Least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, and exponentials.
Effective Dates:
SS08 - US13


MTH 415  Applied Linear Algebra

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(MTH 235 or MTH 255H or MTH 340 or MTH 347H) and (MTH 309 or MTH 314 or MTH 317H)
Not open to students with credit in:
MTH 414
Description:
Matrices and linear algebra. General linear systems of equations. Least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, and exponentials.
Effective Dates:
FS13 - US15


MTH 415  Applied Linear Algebra

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(MTH 235 or MTH 340 or MTH 347H) and (MTH 309 or MTH 314 or MTH 317H)
Not open to students with credit in:
MTH 414
Description:
Matrices and linear algebra. General linear systems of equations. Least squares minimization techniques. Eigenvalues and eigenvectors, spectral decompositions, and exponentials.
Effective Dates:
FS15 - Open