CS 4384: Automata Theory

Course Information

Title: CS 4384: Automata Theory
Course Registration Number: 81438
Times: MW 2:30-3:45
Location: ECSS 2.306
Instructor: Dr. Kevin Hamlen (hamlen AT utdallas)
Instructor's Office Hours: W 3:45-5:45 in ECSS 3.704
Teaching Assistant: Emrah Cem (Emrah.Cem AT utdallas)
TA's Office Hours: Tu 11:30-1:30 in ECSS 4.703


Final Grades Released

Final exam scores (the FinExam row), final averages (the FinAve row), and final letter grades (the FinAveLetter row) are now available through eLearning. If you wish to see your exam, please email me for an appointment by the end of Thursday 12/15 at the latest.


Course Summary

This course covers foundational theory and practice of finite state machines, regular expression matching, and context-free grammars. The following are the course learning objectives:

  1. design of finite state automata and regular expressions
  2. conversion amongst DFAs, NFAs, and regular expressions
  3. prove that a language is not regular
  4. design of push-down automata and context-free grammars
  5. conversion amongst push-down automata and context-free grammars
  6. prove that a language is not context-free

Through taking this course, students will learn the theoretical and practical significance of automata theory and its application to important real-world problem domains, such as parsing, programming language design, security policy specification, natural language processing, and many others. The material will also be linked to important theoretical foundations of computer science, such as complexity theory.

The course is open to undergraduates and must be taken for letter grade only.

Prerequisites: CS 3305 Discrete Math for Computing II

Grading

Homework (30%): There will be 6 homework assignments assigned at a rate of approximately one assignment every 2 weeks. Problems will consist of discrete math and proofs. There may also be some programming problems to be completed in the language of your choice. Homeworks must be submitted by the start of class on the due date. No late homeworks will be accepted.

Quizzes (15%): Pop quizzes will be administered during class on randomly chosen dates. The quizzes will typically be short, consisting of about 5 multiple-choice or short-answer questions, and are intended to help the student stay current with the material presented in lectures.

Midterm (20%): A midterm exam will be administered in class on Wednesday, October 19. It will cover all material up to that date, including DFAs, NFAs, regular expressions, regular closure properties, regular emptiness, finiteness, and equivalence decision algorithms.

Final (35%): The final exam for the course is scheduled for Monday, December 12th at 2:00pm. The exam will be cumulative, covering all material in the course. Students will have 2 hours and 45 minutes to complete it.

Homework Policy

Students may work individually or together with other students presently enrolled in the class to complete the assignments, but they must CITE ALL COLLABORATORS AND ANY OTHER SOURCES OF MATERIAL that they consulted, even if those sources weren't copied word-for-word. Copying or paraphrasing someone else's work without citing it is plagiarism, and may result in severe penalties such as an immediate failing grade for the course and/or expulsion from the computer science program. Therefore, please cite all sources!

Students may NOT collaborate with students who are not currently enrolled in the class. In particular, it is a violation of the class homework policy to collaborate with a student who took the class in a previous semester or to consult their old homework solutions. These sources are off-limits because such "collaborations" tend to involve simply copying or paraphrasing someone else's answer to a similar homework problem, which does not show that you have learned the material yourself and does not prepare you for the exams.

Texts

Lectures and homework assignments for the course will be self-contained, so there is no mandatory textbook. However, students are strongly encouraged to obtain one of the following recommended texts, both of which cover all material in the course:

In addition, homework 4 requires students to learn the basics of the JavaCC parser-generator. Documentation for it can be found online at that link.

Tentative Course Schedule

Date Topic Assignments
Regular Languages
Lecture 1:
Wed 8/24
Course Introduction: Deterministic Finite Automata (DFAs)
Lecture 2:
Mon 8/29
Non-deterministic Automata: NFAs and Regular Expressions Assignment 1 due
Monday 9/12
Lecture 3:
Wed 8/31
DFA-NFA Conversion
NO CLASS:
Mon 9/5
Labor Day (university closed)
Lecture 4:
Wed 9/7
NFA-RE Conversion
Properties of Regular Languages
Lecture 5:
Mon 9/12
Proving non-regularity: Pumping Lemma Assignment 2 due
Wednesday 9/28
Lecture 6:
Wed 9/14
Proving regularity: Closure properties
Lecture 7:
Mon 9/19
Applications of Automata Theory
NO CLASS:
Wed 9/21
Class canceled
Lecture 8:
Mon 9/26
Regular Decision Problems: Emptiness, Finiteness
Lecture 9:
Wed 9/28
Regular Decision Problems: Language equivalence Assignment 3 due
Monday 10/17
Lecture 10:
Mon 10/3
DFA Minimization
Context-free Grammars
Lecture 11:
Wed 10/5
CFGs: Derivation Trees
Lecture 12:
Mon 10/10
CFGs: Proving correctness of CFGs
Lecture 13:
Wed 10/12
Regular Grammars
Lecture 14:
Wed 10/17
Midterm Review
Sample Midterm Exam & Solutions
Assignment 4 due
Monday 10/31
Midterm:
Wed 10/19
Midterm Exam
Properties of Context-free Languages
Lecture 15:
Mon 10/24
Chomsky Normal Form
Lecture 16:
Wed 10/26
Proving non-context-freedom: Pumping Lemma for CFLs
Lecture 17:
Mon 10/31
Push-down Automata Assignment 5 due
Wednesday 11/16
Lecture 18:
Wed 11/2
CFG-PDA Equivalence
Lecture 19:
Mon 11/7
Closure Properties of CFLs
Lecture 20:
Wed 11/9
CFL Decision Algorithms: Emptiness, finiteness, membership
Computational Complexity
Lecture 21:
Mon 11/14
Turing Machines
Lecture 22:
Wed 11/16
Decidability Assignment 6 due
Monday 12/5
Lecture 23:
Mon 11/21
Undecidability
NO CLASS:
Wed 11/23
Thanksgiving break
Lecture 24:
Mon 11/28
P vs. NP
Lecture 25:
Wed 11/30
Final review
Sample Final Exam & Solutions
Lecture 26:
Mon 12/5
Final review
Mon 12/12
2:00-4:45pm
Final Exam