Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Introduction to the Theory of Computing - Stanford

Stanford University via YouTube

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This course introduces core theory of computing through mathematical proofs, automata, formal languages, Turing machines, undecidability, computability, and computational complexity. It also covers randomness, Kolmogorov complexity, and algorithmic fairness.

Syllabus

1 computing.
2 curriculum.
4 proofs.
5 DFA Overview.
6 DFA.
7 DFAClosure1.
8 NFA.
9 NFA2DFA.
10 DFA Closure2.
11 RegExp.
12 pumping.
13 minimizingDFA.
14 Myhill Nerpde.
15 learning DFA.
16 Streaming.
17 CC.
18 TM overview.
19 TM.
20 TM variants.
21 Universal TM.
22 counting argument.
23 concrete undecidable.
24 mapping reductions.
25 rices theorem.
26 oracle reductions.
27 self reference.
28 logic.
29 Kolmogorov Complexity.
30 complexity overview.
31 time complexity.
32 NP.
33 poly time reductions.
34 Cook Levin.
35 more NPC.
36 co NP.
37 polynomial hierarchy.
38 space complexity.
39 Proofs++.
40 Algortihmic Fairness.
41 Randomness.
42 Parting thoughts.

Taught by

CS 154 - Introduction to the Theory of Computing

Reviews

Start your review of Introduction to the Theory of Computing - Stanford

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.