CEN433 Automata Theory

3 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN433
Name Automata Theory
Term 2015-2016 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Üniversite Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
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 the Chomsky hierarchy in terms of grammars and automata.

Course Content

Introduction to Finite Automata, Deterministic Finite Automata, Regular Expressions, Non-Deterministic Finite Automata, Regular Languages and Regular

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Analyze different computational methods using combinatorial methods.
LO02 Apply rigorously formal mathematical methods to prove properties of languages, grammars and automata.
LO03 Construct algorithms for different problems and argue about correctness on different machine models of computation.
LO04 Identify limitations of some computational models and possible methods of proving them.
LO05 Practice computational problems by using software tools


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques,
PLO03 - Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly.
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively.
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence
PLO07 - Can access information,gains the ability to do resource research and uses information resources
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language
PLO10 - Professional and ethical responsibility,
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues


Week Plan

Week Topic Preparation Methods
1 Discrete Mathematical Structures review Reading the related chapter in lecture notes.
2 Introduction to Finite Automata, Deterministic Finite Automata Reading the related chapter in lecture notes.
3 Regular Expressions, Non-Deterministic Finite Automata Reading the related chapter in lecture notes.
4 Context-Free Languages, Regular Languages and Regular Grammars Reading the related chapter in lecture notes.
5 Push-Down Automata (deterministic & non-deterministic) Reading the related chapter in lecture notes.
6 Context-Free and Non Context-Free Languages Reading the related chapter in lecture notes.
7 Review for midterm exam Reading the related chapter in lecture notes.
8 Midterm exam Preparing for the exam
9 Turing Machines, Church-Turing Thesis Reading the related chapter in lecture notes.
10 Non-Deterministic Turing machines, Universal Turing Machines Reading the related chapter in lecture notes.
11 Recursively Enumerable Languages, Chomsky Hierarchy Reading the related chapter in lecture notes.
12 Undecidability, Reductions and the Halting Reading the related chapter in lecture notes.
13 Some Computable Functions Reading the related chapter in lecture notes.
14 Computational Complexity & NP-Completeness Reading the related chapter in lecture notes.
15 Review for final exam Reading the related chapter in lecture notes.
16 Final exam Preparing for the exam
17 Final exam Preparing for the exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Short Exam 20 -4
2. Short Exam 20 -4
3. Short Exam 20 -4
1. Project / Design 20 -4
2. Project / Design 20 -4
1. Short Exam 20 -4
1. Project / Design 20 -4
2. Short Exam 20 -4
2. Project / Design 20 -4
3. Short Exam 20 -4
General Assessment
Midterm / Year Total 200 -20
1. Final Exam - 60
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 5 8 40
Mid-term Exams (Written, Oral, etc.) 0 0 0
Final Exam 1 25 25
Total Workload (Hour) 149
Total Workload / 25 (h) 5,96
ECTS 3 ECTS

Update Time: 15.03.2016 03:13