ECTS - Formal Languages and Automata

Formal Languages and Automata (CMPE326) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Formal Languages and Automata CMPE326 3 0 0 3 6
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to provide the skills to appreciate and understand the formal definition of computation, and language. The students will be introduced to the definitions and properties of mathematical models of computation with automata theory.
Course Learning Outcomes The students who succeeded in this course;
  • Use finite automata as a tool to describe computing
  • Analyze grammars and languages as they are applied to computer languages
  • Construct Push-down automata as a parsing tool of compilation
  • Develop Turing machine models for computability
  • Build theoretical machines or models for hardware and software
Course Content Languages and their representations, finite automata and regular grammars, context-free grammars, concept of abstract machines and language acceptance, deterministic and non-deterministic finite state machines, pushdown automata, Turing machines and introduction to the theory of computation.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction Chapters 0 (main text)
2 Regular Languages Chapter 1
3 Finite Automata Chapter 1.1
4 Nondeterminism Chapter 1.2
5 Finite Automata with Output (other sources 2)
6 Regular Expressions Chapter 1.3
7 Context-Free Languages Chapter 2
8 Context-Free Grammars Chapter 2.1
9 Chomsky Normal Form Chapter 2.1
10 Pushdown Automata Chapter 2.2
11 Equivalence with Context-Free Grammars Chapter 2.2
12 Computability Theory Chapter 3
13 Turing Machines Chapter 3.1
14 Variants of Turing Machines Chapter 3.2
15 Review
16 Review


Course Book 1. Introduction to the Theory of Computation, Michael Sipser, 2nd Edition, Thomson Course Technology, 2006.
Other Sources 2. Efim Kinber and Carl Smith, Theory of Computing: A Gentle Introduction",Prentice-Hall, 2001. ISBN # 0-13-027961-7.
3. Daniel I.A. Cohen, Introduction to Computer Theory (2nd Edition), Wiley, 1997, ISBN # 0-471-13772-3
4. Yarımağan, Ünal, “Özdevinirler Kuramı ve Biçimsel Diller”, Bıçaklar Kitabevi, 2003, ISBN# 975-8695-05-3
5. Martin, John C. “Introduction to Languages and the Theory of Computation”,(2nd Edition), McGraw-Hill International Editions, 1997, ISBN# 0-07-115468-X
6. Linz, Peter, “An Introduction to Formal Languages and Automata”, Jones and Bartlett Publishers, 2001.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 55
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design and conduct experiments, as well as to analyse and interpret data.
3 An ability to design a system, component, or process to meet desired needs.
4 An ability to function on multi-disciplinary domains.
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues.
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
11 Skills in project management and recognition of international standards and methodologies
12 An ability to produce engineering products or prototypes that solve real-life problems.
13 Skills that contribute to professional knowledge.
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Homework Assignments 3 6 18
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 149