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 use UNIX Based systems
5	To understand the types of programming languages, and the paradigms
6	To understand a computational problem specification and algorithmic solution and implement a solution in a script language

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; Programming Concepts and Setup a programming environment.
3	Data Storage; Variables and Basic Data Types in Python
4	Data Manipulation; Decision Structures and Boolean Logic
5	Data Manipulation (cont'd); Repetition Structures
6	Operating Systems; Functions in Python
7	Networking and the Internet; Files and Exceptions
8	Algorithms; Lists and Tuples
9	Midterm Exam; Review and Examples; Homework Description
10	Programming Languages; Dictionaries and Sets
11	Software Engineering; DOS Commands and Batch Scripts
12	Software Engineering (cont'd); LINUX and Shell Commands
13	Computer Graphics; GUI in Python
14	Artificial Intelligence; Review of Python and Python Toolkits

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	ASG	ASSIGNMENT
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE * 0.25 + ASG * 0.25 + FIN * 0.50
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.25 + ASG * 0.25 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Students have to prepare formal reports for their homeworks and submit them to the instructor in the given time period.

Assessment Criteria

The course outcomes, 1, 2, 3, 4 and 5 will be evaluated with exams.
The outcomes, 1, 2 and 3 will be mainly evaluated with Midterm Exam. The outcomes 4, 5 and 6 will be mainly evaluated with homeworks.
In the final exam, considering the evaluation ratios of course outcomes 4, 5 and 6 with homeworks, questions will be designed to evaluate course outcomes 1, 2 and 3 mainly, and the outcomes 4, 5 and 6 commonly.

Language of Instruction

English

Course Policies and Rules

Every student is expected to attend to the lectures (%70), laboratories (%80) and also present their homeworks in a formal document.

Contact Details for the Lecturer(s)

Dokuz Eylul University
Faculty of Engineering
Computer Engineering Department
Tınaztepe Campus
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.Gökhan DALKILIÇ; Tel: (232) 301 74 01; e-mail: dalkilic@cs.deu.edu.tr
Doç.Dr.Semih UTKU: Tel: (232) 301 74 28; e-mail: semih@cs.deu.edu.tr
Dr.Öğr.Üyesi Kökten Ulaş BIRANT: Tel: (232) 301 74 22; e-mail: ulas@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	13	2	26
Lectures	13	2	26
Preparing assignments	2	8	16
Preparation for midterm exam	1	6	6
Preparation for final exam	1	12	12
Midterm	1	2	2
Final	1	2	2
TOTAL WORKLOAD (hours)			90

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	1
LO.3	3					2	4	1
LO.4	4		3	4	5	4	4	4		4
LO.5	3	4	4
LO.6	5	5	3	4

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