Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
CME 1203	INTRODUCTION TO COMPUTER ENGINEERING	COMPULSORY	2	2	0	4

Offered By

Computer Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR YALÇIN ÇEBI

Offered to

Computer Engineering

Course Objective

The aim of this course is to give the students basic knowledge about computer hardware, computer arithmetic, computer architecture, computer networks, operating systems, programming concepts and script languages.

Learning Outcomes of the Course Unit

1	To have basic information about basic computer hardware and software
2	To solve problems by means of computer arithmetic
3	To understand basics of computer architecture
4	To understand the types of programming languages, and the paradigms
5	To understand a computational problem specification and algorithmic solution

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Introduction & Course Concepts; Laboratory Description, Environment and Rules
2	Computer Science Concepts; Word Processing Software; Page Layout Concepts
3	Data Storage; Spreadsheets and Common Properties
4	Data Manipulation; DOS Commands
5	Data Manipulation (cont'd); DOS Batch Scripts
6	Operating Systems; LINUX Operating System
7	Networking and the Internet; LINUX Shell Commands and Shell Scripting
8	Algorithms; HTML Basics and Components of a Web Page
9	Programming Languages; Script Languages and JavaScript Applications
10	Software Engineering; Python Programming Concepts and Environment Preparation
11	Computer Graphics; Variables and Basic Data Types in Python
12	Artificial Intelligence, Sustainability; Decision Structures and Boolean Logic in Python
13	Comtemporary computational problems; Repetition Structures in Python
14	Introduction to Computer Engineering Review

Recomended or Required Reading

Brookshear, J.Glenn, Brylow, D., Computer Science an Overview 12e, Pearson, ISBN: 978-1-292-06116-0, 2015.
Gaddis, T., Starting out with Phyton 3e, Pearson, ISBN: 978-1-292-06550-2, 2015
Reed, David, A Balanced Introduction to Computer Science 3e, Prentice Hall, ISBN: 978-0-13-216675-1, New Jersey, 2011.
Parsons, J.J., Oja, D., New Perspectives on Computer Concepts 6th Edition, Course Technology, Thomson Learning, ISBN 0-619- 10005-2, 2003
David Beazley, David, Jones Brian K., Python Cookbook 3e, O'Reilly Media, Inc., ISBN: 978-1-449-34037-7, 2013.
Downey, Allen, Think Phyton 2e, Green Tea Press, http://www.thinkphyton.com, 2015.

Planned Learning Activities and Teaching Methods

Lecture, presentation, laboratory work and interactive discussion

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	FIN	FINAL EXAM
3	FCG	FINAL COURSE GRADE	MTE * 0.50 + FIN * 0.50
4	RST	RESIT
5	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.50 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

The course outcomes, 1, 2, 3, 4 and 5 will be evaluated with midterm and final exams.
The achievements of the students from the laboratory section will be evaluated by the questions both in midterm and final exams.

Language of Instruction

English

Course Policies and Rules

Every student is expected to attend to the lectures (%70), laboratories (%80).

Contact Details for the Lecturer(s)

Dokuz Eylul University
Faculty of Engineering
Computer Engineering Department
35390 Buca/IZMIR
Prof.Dr.Yalçın ÇEBI: Tel: (232) 301 74 07; e-mail1: yalcin.cebi@deu.edu.tr ; e-mail2: yalcin@cs.deu.edu.tr
Doç.Dr.Semih UTKU: Tel: (232) 301 74 28; e-mail: semih@cs.deu.edu.tr
Doç.Dr.Kökten Ulaş BIRANT: Tel: (232) 301 74 22; e-mail: ulas@cs.deu.edu.tr
Dr.Öğr.Üyesi Feriştah DALKILIÇ; Tel: (232) 301 74 12; e-mail: feristah@cs.deu.edu.tr
Dr.Öğr.Üyesi Yunus DOĞAN; Tel: (232) 301 74 18; e-mail: yunus@cs.deu.edu.tr
Öğr.Gör.Dr. Özlem ÖZTÜRK: Tel: (232) 301 74 17; e-mail: ozlem.ozturk@cs.deu.edu.tr

Office Hours

Friday 9:00-10:30

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Tutorials	14	2	28
Lectures	14	2	28
Lab Preparation	14	1	14
Preparation for midterm exam	1	8	8
Preparation for final exam	1	13	13
Midterm	1	2	2
Final	1	2	2
TOTAL WORKLOAD (hours)			95

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	3						2	3	4	4
LO.2	5	5	4			4	3
LO.3	4		3	4	5	4	4	4		4
LO.4	3	4	4			3
LO.5	5	5	3	4		4	4		5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION