| Logistics: |
TTh 2:00--3:30, GDC 4.304 (in person only)
Unique Number: 52320 Course web page: http://www.cs.utexas.edu/~diz/353 |
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| Professor: | David Zuckerman Email: diz@cs.utexas.edu |
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| Who should take this? |
Students interested in the science of computation, who like mathematics and proofs, and who like a challenge. Students who liked CS 331 or 331H should like this class. This course is excellent preparation for graduate school. | ||||||||||||||||||||||||||||||
| Text: | Michael Sipser, Introduction to the Theory of Computation | ||||||||||||||||||||||||||||||
| Course Overview: |
This undergraduate course develops a theoretical framework
to understand computation.
Perhaps the most important concept in the class is that there are
limits to computation.
Some languages are uncomputable; others are "complete"
for certain hard classes, such as NP. Sometimes these
limitations prove useful, as in the case of cryptography. We will
also explore tradeoffs and relationships between different computational
resources, such as time and space.
The course should be similar to the 2018 version.
(The 2021 version was flipped, but this year won't be.)
A list of topics and approximate times follows.
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| Prerequisites: | CS 331 or 331H. Naturally, you also need the prerequisites and corequisites for CS 331, including Discrete Math (CS 311 or 311H), Probability (SDS 321 or M 362K), and Linear Algebra (SDS 329C, Math 340L, or Math 341). | ||||||||||||||||||||||||||||||
| Grading: |
60% 3 Exams 30% Homework 10% Participation |