Catalog Description: Concept and basic techniques in the design and analysis of algorithms; models of computation; lower bounds; algorithms for optimum search trees, balanced trees and UNION-FIND algorithms; numerical and algebraic algorithms; combinatorial algorithms. Turing machines, how to count steps, deterministic and nondeterministic Turing machines, NP-completeness. Unsolvable and intractable problems.

Units: 4

Prerequisites: COMPSCI 61B and COMPSCI 70.

Formats:
Spring: 3.0 hours of lecture and 1.0 hours of discussion per week
Summer: 6.0 hours of lecture and 2.0 hours of discussion per week
Fall: 3.0 hours of lecture and 1.0 hours of discussion per week

Grading basis: letter

Final exam status: Written final exam conducted during the scheduled final exam period


Class Schedule (Spring 2024):
CS 170 – TuTh 15:30-16:59, Li Ka Shing 245 – Christian H Borgs, Prasad Raghavendra

Class homepage on inst.eecs


Department Notes:

Course objectives: Provide familiarity with algorithms for recurring basic problems. Learn to design algorithms to solve novel problems. Learn about the concept of the intrinsic difficulty of certain computational problems.

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