Theory of Computation (MAE745)

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General

School

School of Science

Academic Unit

Department of Mathematics

Level of Studies

Undergraduate

Course Code

MAE745

Semester

7

Course Title

Automata Theory and Formal Languages

Independent Teaching Activities

Lectures (Weekly Teaching Hours: 3, Credits: 6)

Course Type

Special Background

Prerequisite Courses -
Language of Instruction and Examinations

Greek

Is the Course Offered to Erasmus Students

Yes (in English)

Course Website (URL) http://nlampp-lab.uoi.gr/lab/

Learning Outcomes

Learning outcomes

The goal of this course is the deeper understanding of Automata Theory and Languages. During the course a detailed examination of the following topics are done:

  • Introductory concepts of Automata , Computability and Complexity as well as basic definitions, basic theorems and inductive proofs
  • Finite State Machines and Languages, Finite Automata (Deterministic FA, Nondeterministic FA, FA with Epsilon-Transitions) and their applications, Regular Expressions and Languages, derivation trees. Removing Nondeterminism . Equivalence NFA and NFA with ε-moves. Minimization of DFA, Pumping Lemma
  • FA and Grammars. Grammars of Chomsky Hierarchy. Regular Sets (RS). Properties of Regular Languages. RS and FA. Finding a correspondence Regular Expression of a FA. Abilities and disabilities of FA.
  • Context-Free Grammars and Languages, Pushdown Automata (Deterministic PDA, Acceptance by Final State, Acceptance by Empty Stack) , Properties of Context-Free Languages. Correspondence PDA and Context-Free Languages.
  • Introduction of Turing Machines. Standard TM, useful techniques for TM constructions. Modification of TM. TM as procedure.
  • Unsolvability. The Church-Turing Thesis. The Universal TM. The Halting Problem for TM. Computational Complexity. NP-complete problems.

After completing the course the student can handle:

  • theoretical documentation of problems
  • solving exercises
  • tracking applications

which related to Finite Automata, Pushdown Automata, and Turing Machines as well as to Unsolvability , to Computational Complexity and to NP-complete problems.

General Competences
  • Handle new problems
  • Decision making
  • Implementation- Consolidation

Syllabus

  • Introductory concepts of Automata , Computability and Complexity as well as basic definitions, basic theorems and inductive proofs
  • Finite State Machines and Languages, Finite Automata (Deterministic FA, Nondeterministic FA, FA with Epsilon-Transitions) and their applications, Regular Expressions and Languages, derivation trees. Removing Nondeterminism . Equivalence NFA and NFA with ε-moves. Minimization of DFA, Pumping Lemma
  • FA and Grammars. Grammars of Chomsky Hierarchy. Regular Sets (RS). Properties of Regular Languages. RS and FA. Finding a correspondence Regular Expression of a FA. Abilities and disabilities of FA.
  • Context-Free Grammars and Languages, Pushdown Automata (Deterministic PDA, Acceptance by Final State, Acceptance by Empty Stack) , Properties of Context-Free Languages. Correspondence PDA and Context-Free Languages.
  • Introduction of Turing Machines. Standard TM, useful techniques for TM constructions. Modification of TM. TM as procedure.
  • Unsolvability. The Church-Turing Thesis. The Universal TM. The Halting Problem for TM. Computational Complexity. NP-complete problems.

Teaching and Learning Methods - Evaluation

Delivery

Face to face

Use of Information and Communications Technology Yes, use of Natural Language and Mathematical Problems Processing Laboratory
Teaching Methods
Activity Semester Workload
Lectures 39
Self study 78
Exercises 33
Course total 150
Student Performance Evaluation

Final test

Attached Bibliography

  • Βιβλίο [11776]: Στοιχεία θεωρίας υπολογισμού (Elements of Computation Theory), Lewis Harry R.,Παπαδημητρίου Χρίστος Χ.
  • Βιβλίο [257]: ΕΙΣΑΓΩΓΗ ΣΤΗ ΘΕΩΡΙΑ ΥΠΟΛΟΓΙΣΜΟΥ (Introduction in Computation Theory), SIPSER MICHAEL