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Hey all,

I'm currently working on my CS degree with a mathematics minor. After this Fall, I will only have one more course to take to finish my minor.

I'm debating between Linear Algebra and Deterministic Operations Research. I do have other options, but these seem to be most applicable to CS.

Which would be more beneficial given my major?

If it matters here are the course descriptions:

An introductory course in linear algebra covering vector spaces, linear transformation, matrices, systems of linear equations, and inner product spaces.

Textbook: Linear Algebra and its Applications, Fifth Edition, by David C. Lay, Steven R. Lay, and Judi J. McDonald.

This course provides a broad overview of deterministic operations research techniques. Linear programming will be covered including the simplex method, duality and sensitivity analysis. Further selected topics are from integer programming, dynamic programming, scheduling models, game theory, and associated topics

Textbook: Schaums Outline of Operations Research, by Bronson and Naadimuthu, 2nd Edition, McGraw Hill Schaums Outline Series. (The university notes that attendance is essential for this class).

Thanks.

I'm currently working on my CS degree with a mathematics minor. After this Fall, I will only have one more course to take to finish my minor.

I'm debating between Linear Algebra and Deterministic Operations Research. I do have other options, but these seem to be most applicable to CS.

Which would be more beneficial given my major?

If it matters here are the course descriptions:

**Linear Algebra**An introductory course in linear algebra covering vector spaces, linear transformation, matrices, systems of linear equations, and inner product spaces.

Textbook: Linear Algebra and its Applications, Fifth Edition, by David C. Lay, Steven R. Lay, and Judi J. McDonald.

**Deterministic Operations Research**This course provides a broad overview of deterministic operations research techniques. Linear programming will be covered including the simplex method, duality and sensitivity analysis. Further selected topics are from integer programming, dynamic programming, scheduling models, game theory, and associated topics

Textbook: Schaums Outline of Operations Research, by Bronson and Naadimuthu, 2nd Edition, McGraw Hill Schaums Outline Series. (The university notes that attendance is essential for this class).

Thanks.

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