Johns Hopkins University 3 credits Computer Science
[Formerly EN.600.325.] Suppose you could simply write down a description of your problem, and let the computer figure out how to solve it. What notation could you use? What strategy should the computer then use? In this survey class, you'll learn to recognize when your problem is an instance of satisfiability, constraint programming, logic programming, dynamic programming, or mathematical programming (e.g., integer linear programming). For each of these related paradigms, you'll learn to reformulate hard problems in the required notation and apply off-the-shelf software that can solve any problem in that notation -- including NP-complete problems and many of the problems you'll see in other courses and in the real world. You'll also gain some understanding of the general-purpose algorithms that power the software. Prerequisite(s): Students may receive credit for only one of EN.601.432, EN.601.632.;EN.601.226 AND (AS.110.107 OR AS.110.109 OR AS.110.113)
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