<p>I'm going into operations research and to my knowledge, Optimization is the foundation core course for that major. What type of things are taught in the course, and how difficult is it?</p>
<p>All i've heard is that Linear Algebra is used extensively but what topics are? I'm currently also thinking about using transfer credits and go straight into Optimization I, but a lot of people have discouraged doing so. What do you think?</p>
<p>i did Honors Linear Algebra at a local university and got a B. However, this is in the Math faculty and not engineering, so it focused more on proofs than algorithms and applications. I have asked the faculty at Cornell, which is where i’ll be heading, and they said if i got a C+ or better, i would get transfer credits if i want.</p>
<p>Optimization I and II should cover linear programming, interger programming, dynamic programming, and non-linear programming. When I took the course you needed a good understanding of matrix math (add, multiple, invert…). A couple of my favorite classes at Cornell.</p>
<p>I’ll be taking Intro to Optimization, Linear Programming, and Markov Processes next semester as well (not at Cornell, but the subjects should be the same). Linear Algebra was a while back for me. What do you think I should review?</p>
<p>Start by reviewing matrix algebra and Gaussian elimination.
Discrete math is also a good foundation for subjects like optimal traveling salesman routes and capacitated network flows. If taught by the math dept. they might go into queuing theory or game theory as well.</p>
<p>The Linear Programming class is cross-listed in Business, Math, and Engineering departments. Any idea on the implication of that? Here’s what they say about it:</p>
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<p>I’ve taken Discrete Math in the EECS dept, I mostly remember the material. I’ve seen some basic queuing and game theory in other classes as well. </p>
<p>I’ll be sure to review those things though. Thanks.</p>
<p>3300 is filed under Fall 2010 and corresponds to the lectures taught in 2010fa while 3310 is filed under Spring 2011 and corresponds to the lectures taught in 2009sp</p>