Is the class at your local university purely applied? Taking a version that contains some theory/proofs (rather than just calculations) would probably be beneficial.
I want to strengthen my application for the next cycle of economics phd applications by taking math courses. My current math background: solid grades (A) in a few undergraduate courses that basically cover Chiang's textbook taken a decade ago (I am in my early 30s) and an 800 score in the math part of the GRE.
This fall I will enroll in a real analysis class at a local university (I will prepare for that through self-study). This summer, given my crazy work schedule, I have two options: an online linear algebra course at EPGY or a matrix algebra class at a local university, which will cover: systems of linear equations, matrices, determinants, introduction to vector spaces and linear transformations, applications. I only have time for one of the two options.
Which would work best for my application? Any advice welcome!
Your matrix algebra course sounds like a first course in linear algebra! Post both course describtions for a better advise. I can tell you right off the bat thet you'll definitely linear algebra with all the stuff you mentioned above! An online version of linear algebra is still linear algebra! Just go ahead and post more info so that we can give you a more informed advise.
Excuse my ignorance on this, but what is "EPGY"?
While there certainly is a lot of value in taking a proof-oriented math course, I wouldn't say that the decision between the two classes is really all that clear cut. A course that focuses on the computational aspects of linear algebra would be very helpful in a lot of grad econ courses, especially in econometrics.
Take the course. The outside option is getting a cheap linear algebra book (here is one for $.75 + shipping: Half.com: Linear Algebra with Applications by Steven J. Leon (1994, Book, Illustrated)(9780023698316): Steven J. Leon: Books -- and here is one that is free that goes over a great deal of topics you will use down the road: http://www.math.byu.edu/~klkuttle/Linearalgebra.pdf -- though it is a little on the advanced side) and teaching yourself--a more than viable option with opencourseware to supplement from MIT, Yale, or Stanford.
Servere est vivere. Vivere est vincere.
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