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Virginia Tech

MATH-5524: Matrix Theory

Description: Determinants, rank, linear systems, eigenvalues, diagonalization, Gram-Schmidt process, Hermitian and unitary matrices, Jordan canonical form, variational principles, perturbation theory, Courant minimax theorem, Weyls inequality, numerical methods for solving linear systems and for determining eigenvalues. science or engineering.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: N/A

Required By: STAT-5124

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

Sections Taught: 26

Average GPA: 3.64 (A-)

Strict A Rate (No A-) : 60.51%

Average Withdrawal Rate: 0.17%

Martin Klaus202175.3%24.6%0.0%0.0%0.0%0.0%3.692
Robert L Wheeler200883.2%16.8%0.0%0.0%0.0%0.0%3.854
Alexander Elgart201470.0%30.0%0.0%0.0%0.0%0.0%3.731
Sturler Eric De202377.5%22.5%0.0%0.0%0.0%0.0%3.752
Christopher A Beattie202453.9%41.2%4.2%0.0%0.0%0.8%3.466
Michael Renardy201936.4%36.4%18.2%0.0%9.1%0.0%2.941
Peter Wapperom201266.6%25.0%8.3%0.0%0.0%0.0%3.611
Myungsuk Chung202283.3%8.3%8.3%0.0%0.0%0.0%3.721
John F Rossi201057.1%35.7%7.1%0.0%0.0%0.0%3.481
Ezra A Brown201657.1%28.5%14.2%0.0%0.0%0.0%3.411
Traian Iliescu200455.6%44.4%0.0%0.0%0.0%0.0%3.671
Zlatko Drmac201589.0%8.3%2.6%0.0%0.0%0.0%3.742
Mark P Embree201791.3%8.6%0.0%0.0%0.0%0.0%3.871
Dialla Konate2005100.0%0.0%0.0%0.0%0.0%0.0%4.001
James C Turner201166.6%33.3%0.0%0.0%0.0%0.0%3.671

Grade Distribution Over Time