CS 600: Theory of Computation, Spring 2018

Course Overview

Course Description

Content
This course will cover topics in computability theory and complexity theory. Specifically, we will cover automata theory, Turing machines, decidability, P and NP, polynomial-time reductions, circuit complexity, randomized computation and extraction, and proof systems. There is no required text; we will rely very heavily on the lecture notes found in the links below. These notes adapted from Prof. Jonathan Katz's notes, which can be found under the "links" section on the right.

Objectives
Students will learn the distinction between various computational models, and the relationship between these models.
Students will learn how to formally reduce one computational problem to another. They will learn to prove that a problem is NP-complete.
Students will gain an understanding of the value of randomness in computation, and they will learn to analyze simple probabilistic events.
Students will learn about interactive proof systems, and how to prove that a protocol is sound.

 

Course Requirements

The material in this course is difficult, and I expect students to work hard. However, my goal, first and foremost, is that students gain a basic understanding of the material, and some enthusiasm for the subject. I encourage students to ask a lot of questions, and I am happy to slow down or repeat material whenever necessary. Some of the course grading is allocated for effort, which can be demonstrated in class, in office hours, or by exchange via email. These points are intended to help the students that are struggling: if I see that such a student is engaging with the material, I am very happy to take that into account when assigning grades.

Homework
There will be 5 homework assignments, due every other week. Students are welcome to work in groups, but every student must write their solutions independently. Homeworks that appear overly similar will be considered to violate the honor code. Only a random subset of the problems will be graded on each assignment. Students are expected to do all of the problems anyway. We will review all of the problems in class, so that students can evaluate their own understanding of the un-graded problems, and seek help as needed.

I encourage students to type their answers, both because they will be easier to read, and also because I believe it helps you clarify your own thinking. You can use this LaTex template file, if it is helpful to you. There are also command definitions that might be helpful to you here. (If you're using the template file, you will need to remove the comment where the preamble file is included.) This is a great LaTex reference, with a list of useful symbols on page 75.

Exams
The two exams are worth 60% of the course grade: the better of the two exams will count for 35%, and the lesser of the two will count for 25%. All testing is closed book, and notes are not permitted. The two exams, including the final, each cover about a half of the semester. The final is not cumulative. The date of the final exam, as specified by the university, is 5/10 at 4:30pm. I will not offer any makeup exams, so students should plan accordingly.

Grading
Homework: 30%
Midterm: 25% or 35%
Final: 35% or 25%
Participation: 10%

 

 

Tentative Schedule

Date Topic Lecture Notes Homework
Jan. 25 Finite automata. automata.pdf HW 1 out.
Feb. 1 Pumping Lemma, Push down automata, Turing machines.
Feb. 8 Countable and uncountable sets, Diagonalization, Universal Turing machines, and the halting problem. turing_machines.pdf HW 1 due. HW 2 out
Feb. 15 Mapping reductions, P and NP.
Feb. 22 Karp Reductions np_completeness.pdf HW2 due. HW 3 out.
March 1 More Karp reductions, NP-completeness.
March 8 Midterm.   HW3 due.
March 15 Spring Break  
March 22 Review of the midterm solutions.  
March 29 Class canceled.  
April 5 Co-NP, decision vs. search, Space Complexity co_np.pdf space.pdf HW 4 out.
April 12 Space Complexity  
April 19 The Polynomial Hierarchy, Circuit Complexity poly_hierarchy.pdf circuits.pdf  
April 26 Circuit Complexity. (We did NOT do Sections 2.1, 2.2 or 2.3) circuits.pdf HW 4 due. HW 5 out.
May 3 Randomized Time Complexity random.pdf
May 10 Final Exam   HW 5 due.