CSCI3384

Computability and Computational Complexity

This is a course in the theoretical foundations of computer science, centered around the theme of fundamental limits on computation. Topics include: Turing Machines, universal computation, undecidability of the halting problem, solvable and unsolvable algorithmic problems, recursive functions, Goedel's Incompleteness Theorem, time- and space-bounded computations, Cook's Theorem, NP-complete problems, problems solvable in polynomial space, randomized computation, application to cryptography, practical approaches to computationally intractable problems (such as SAT solvers), quantum computing, and Shor's Theorem.

Course overview

Department
Computer Science
School
MCAS
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

3.95 / 5

Based on 77 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Fall 2026 · Alexander Creiner · 245 Beacon Street Room 230 MW 03:00PM-04:15PM · Offered