CEN343 Theory of Computation

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN343
Name Theory of Computation
Term 2020-2021 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Uzaktan Öğretim
Catalog Information Coordinator Prof. Dr. UMUT ORHAN
Course Instructor Prof. Dr. UMUT ORHAN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

In this course, the main goal is to define the language classes in terms of grammars and automata.

Course Content

Chomsky hierarchy, Regular languages, Context free languages, Turing machines, Decidability, P and NP languages, NP-complete languages

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows Chomsky hierarchy
LO02 Knows Regular languages
LO03 Knows Context free languages
LO04 Knows Turing machines
LO05 Knows Decidability
LO06 Knows P, NP and NP-complete languages


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 4
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 5
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Discrete Mathematical Structures review Reading related chapter in lecture notes
2 Deterministic Finite Automata (DFA) and Non-Deterministic Finite Automata (NFA) Reading related chapter in lecture notes
3 NFA to DFA, Regular Expressions Reading related chapter in lecture notes
4 DFA to Regular Expression, Pumping Lemma for Regular Languages Reading related chapter in lecture notes
5 Context-Free Grammars, Chomsky Normal Form Reading related chapter in lecture notes
6 Push-Down Automata Reading related chapter in lecture notes
7 Pumping Lemma for Context-Free Languages Reading related chapter in lecture notes
8 Midterm Exam Study to lecture notes and apllications
9 Turing Machines, Church-Turing Thesis Reading related chapter in lecture notes
10 Non-Deterministic Turing Machines Reading related chapter in lecture notes
11 Decidable and Undecidable Languages Reading related chapter in lecture notes
12 Enumerability and Enumarable Languages Reading related chapter in lecture notes
13 Introduction to Complexity Theory, P and NP classes Reading related chapter in lecture notes
14 Non-Deterministic algorithms, NP-Complete Languages Reading related chapter in lecture notes
15 Review for final exam Reading related chapter in lecture notes
16 Final Exam Study to lecture notes and apllications
17 Final Exam Study to lecture notes and apllications


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 17.06.2025 12:59