Basic techniques used in design and analysis of algorithms, including divide-and-conquer, greed methods, dynamic programming, search techniques, backtracking, brand-and-bound, and algebraic transformation. NP-Complete and NP-Hard problems, reductions among and approximations to such problems. Basis concepts surrounding the halting problem.