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Mathematical Sciences

Combinatorial Matrix Theory

This Math 490 class was taught in the Spring 2017 by Naiomi Cameron

This course serves as an advanced linear algebra course with specific applications to combinatorial problems.  Matrices can be used to represent combinatorial structures such as graphs, designs, projective spaces and codes.  With the aid of advanced linear algebra concepts, such as the Jordan canonical form, tensor products, normal matrices, the spectral theorem and Hadamard matrices, students will explore how linear algebra can be used to solve difficult and interesting problems involving a variety of combinatorial structures.

Prerequisites: Linear Algebra AND instructor permission

Contact Naiomi Cameron for permission to register