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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CME 3002 AUTOMATA AND FORMAL LANGUAGES COMPULSORY 3 0 0 6

Offered By

Computer Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR SÜLEYMAN SEVINÇ

Offered to

Computer Engineering Scientific Preparatory (Msc Without Thesis ) Computer Engineering Scientific Preparatory (Msc) Computer Engineering Scientific Preparatory (Msc Without Thesis ) (Evening Education) Computer Engineering

Course Objective

This course intends to equip students with knowledge and skills in computer languages, state machines, regular and context-free languages, Turing machines and computability.

Learning Outcomes of the Course Unit

1   Define proof techniques 2   Define finite state machines 3   Define regular languages 4   Define context-free languages 5   Define PDAs 6   Define Turing Machines 7   Apply reduction to given problems 8   Define P and NP classes

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to proving and proofs, sound proofs and thinking, proof by construction,contradiction, induction 2 Recursive Definitions 3 State Machines and Modelling Computation with State Machines 4 Finite State Machines 5 Regular Languages Regular Expressions 6 Regular Languages - Nondeterminism 7 Midterm 1 8 Non-Regular Languages The Pumping Lemma 9 Context-Free Languages Context-Free Grammars, Push-Down Automata 10 Context-Free Languages Algorithms for membership 11 Non-Context-Free Languages The Pumping Lemma 12 Turing Machines 13 Midterm 2 14 The Definition Of An Algorithm - Decidability, The Halting Problem

Recomended or Required Reading

Sipser, Michael. Introduction to the Theory of Computation. 2nd ed. Boston, MA: Thomson Course Technology, 2006. ISBN: 0534950973.

Planned Learning Activities and Teaching Methods

Lectures and homeworks.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE 1 MIDTERM EXAM 1 2 MTE 2 MIDTERM EXAM 2 3 ASG ASSIGNMENT 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTE 1*0.175+MTE 2 *0.175+ASG *0.15+FIN * 0.50 6 RST RESIT 7 FCG FINAL COURSE GRADE MTE 1*0.175+MTE 2 *0.175+ASG *0.15+RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Students are asessed on their independent homework performance and through written exams (supervised).

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

x17403, suleyman.sevinc@deu.edu.tr

Office Hours

To be announced in the first week of lectures.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 4 48 Preparation for midterm exam 2 10 20 Preparing assignments 3 9 27 Preparation for final exam 1 13 13 Midterm 2 2 4 Final 1 2 2 TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 5 LO.2 5 LO.3 5 LO.4 5 2 2 2 LO.5 5 LO.6 5 LO.7 5 LO.8 5