Προβολή πηγαίου κώδικα για τη σελίδα Theory of Computation (ΠΛ2)

* [[Μαθηματική Θεωρία των Υπολογισμών (ΠΛ2)|Ελληνική Έκδοση]]
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=== General ===

{| class="wikitable"
|-
! School
| School of Science
|-
! Academic Unit
| Department of Mathematics
|-
! Level of Studies
| Graduate
|-
! Course Code
| ΠΛ2
|-
! Semester
| 1
|-
! Course Title
| Theory of Computation
|-
! Independent Teaching Activities
| Lectures (Weekly Teaching Hours: 3, Credits: 7.5)
|-
! Course Type
| Specialization
|-
! Prerequisite Courses
|
Undergraduate courses in Automata Theory and Formal Languages, Data Structures and Algorithms
|-
! Language of Instruction and Examinations
|
Greek
|-
! Is the Course Offered to Erasmus Students
| Yes (in English)
|-
! Course Website (URL)
| See [https://ecourse.uoi.gr/ eCourse], the Learning Management System maintained by the University of Ioannina.
|}

=== Learning Outcomes ===

{| class="wikitable"
|-
! Learning outcomes
|
The goal of this course is the deeper understanding of Automata Theory and Language,  Computability Theory and Complexity Theory as well as the introduction of students to critical thinking and research process. During the course a detailed examination of the following topics are done:
* Finite Automata (Deterministic FA, Nondeterministic FA, FA with Epsilon-Transitions) and their applications, Regular Expressions and Languages, Properties of Regular Languages
* Context-Free Grammars and languages, Pushdown Automata (Deterministic PDA, Acceptance by Fina lState, Acceptance by Empty Stack) , Properties of Context-Free Languages
* Turing Machines (Standard TM, Multitrack TM, Two-Way Tape TM, Multitape TM, Nondeterministic TM)
* Decidability and Computability
* Computational Complexity
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 Decidability and Computability and to Computational Complexity.
|-
! General Competences
|
* Independent work
* Bibliographic search
* Effective selection and Design of the required machine and language.
|}

=== Syllabus ===

* Properties of the Computation Theory Mathematical Models
* Problems classification to solvable and unsolvable
* Solvable Problems Classification

=== Teaching and Learning Methods - Evaluation ===

{| class="wikitable"
|-
! Delivery
|
Face to face
|-
! Use of Information and Communications Technology
| Yes
|-
! Teaching Methods
|
{| class="wikitable"
! Activity
! Semester Workload
|-
| Lectures
| 39
|-
| Self study
| 78
|-
| Exercises
| 70.5
|-
| Course total 
| 187.5
|}
|-
! Student Performance Evaluation
|
* Final essays (40%).
* Exercises - questions requiring critical thinking (30%).
* Presentations of related issues (30%).
|}

=== Attached Bibliography ===

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