Models of Computation CS 575 - Syllabus

Spring 2008; Tuesday, Thursday 11-12:15; Funkhouser 3-B

Class web site
Instructor: Professor Klapper, 779A Anderson; phone -- x7-6743
e-mail: klapper at cs dot uky dot edu
web: http://www.cs.uky.edu/~klapper/
Office Hours: Monday 1-2pm, Tuesday 1:30-3pm, Thursday 1:30-3pm. E-mail questions are welcome.

Course Description: Introduction to models of computation and of formal grammars: finite automata and regular languages, pushdown automata and context-free languages, Turing machines, decidability, and computational complexity, including polynomial and nondeterministic polynomial time, polynomial space, and exponential time bounded computation.
Prereqs: CS 375 or consent of instructor. CS 275 is a prerequisite for CS375. Students should be familiar with logic, discrete mathematics, and comfortable using proof techniques such as induction.

Textbook: "Introduction to the Theory of Computation, Second Edition," by Michael Sipser, ISBN 0-534-95097-3. Errata.
Warning: You must have the Second Edition.

Exams and Homework: Midterm exam: Thursday, Mar 10; Final exam: Thursday, May 7, 1-3PM ; and frequent homeworks. Homeworks are due at the start of class on the due date. There will be one midterm exam and one final. There will be no programming assignments. Homeworks more than five minutes late will not be accepted. Illegible work will not be graded. Obtaining a solution from another source without citing the source is plagiarism. Detailed Plagiarism Statement. You are strongly encouraged to visit me in my office hours if you are stuck on homework problems. You don't need an appointment for my regularly scheduled hours. Attendance in class is expected. You will make every reasonable effort to arrive before class begins. Cell phones must be turned off before class starts.

Grades: Course grades are based on: attendance - 10%; homework - 25%; midterm - 25%; final exam - 40%.
Letter grades are assigned by the scale:
Graduate students: A: 80-100; B: 65-79; C:50-64;
Undergraduates: A: 75-100; B: 60-74; C:45-59;D:35-44.

Outcomes and assessments: The following are the stated learning outcomes for this course. These will be assessed by a survey at the end of the semester, in compliance with certification standards for academic Computer Science departments. A successful student will learn:

Approximate Week by Week Course Outline:

Date Topic Chapter
Jan. 15 Math: sets, relations, graphs, proofs 0
Jan. 20--22 DFAs, regular operations, NFAs, equivalence 1.1--1.2
Jan. 27--29 Regular expressions, equivalence with FAs 1.3
Feb. 3--5
Pumping Lemma, CFGs 1.4, 2.1
Feb. 10--12 Ambiguity, PDAs, equivalence 2.1--2.2
Feb. 17--19 Pumping Lemma, nondeterminism 2.3
Feb. 24--26
Turing machines 3.1
Mar. 3--5
Turing machines variants, Algorithms, Church-Turing thesis 3.2--3.3
Mar. 10 MIDTERM

Mar. 12 Church-Turing thesis, RAMs 3.3
Mar. 16--20 SPRING BREAK!

Mar. 24--26 Decidability, halting Problem 4.1--4.2
Mar. 31-- Apr. 2 Reducibilities 5.1--5.3
April 7--9 Reducibilities; recursion theorem 6.1
Apr. 14--16 Big-O and different models; P and NP 7.1--7.3
Apr. 21--23 NP-completeness 7.4--7.5
Apr. 28--30 Other complexity classes, tradeoffs 8.1--8.3
May 7
FINAL EXAM: THURSDAY, May 7, 1-3PM B3-FB




This page last modified: Thursday, February 5, 2009