IEMS 469: Dynamic Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Basic knowledge of probability (random variables, expectation, conditional probability), optimization (gradient), ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

MATH.2720 — Undergraduate Id: 038929 Offering: 1 Credits: 3-3 Description This course will introduce basic programming concepts using MATLAB as the programming environment. Topics include an ...