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 | Area Elective | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| CMPE251 |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| 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;
|
| 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 |
Sources
| 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 | Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems. | X | ||||
| 2 | To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. | |||||
| 3 | Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. | |||||
| 4 | To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively. | |||||
| 5 | Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering. | |||||
| 6 | Can work effectively in disciplinary and multidisciplinary teams; can work individually. | |||||
| 7 | a. Communicates effectively both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. b. Knows at least one foreign language. | |||||
| 8 | To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously. | |||||
| 9 | a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications. | |||||
| 10 | a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development. | |||||
| 11 | a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 3 | 48 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| 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 | ||