COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
CMP4323	Wireless and Mobile Networks	Fall	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	MEHMET ŞÜKRÜ KURAN
Recommended Optional Program Components:	None
Course Objectives:	This course covers wireless and mobile networking concepts and protocols with real-world examples. This course aims to prvide students with a basic understanding about the wireless and mobile networks and related problem solving discipline using mathematics / engineering principles.

Learning Outcomes

The students who have succeeded in this course;
I. An ability to design algorithms for wireless communication problems
II. An ability to develop test and monitoring programs for wireless networks
III. An ability to design packet size optimization techniques for wireless networks
IV. An ability to analyze and evaluate the performance of wireless networks
V. An ability to design communication solutions for vehicular networks
VI. An ability to organize and document program code following the principles of software engineering and to professional prepare project reports.

Course Content

This course covers wireless and mobile networking concepts and protocols with real-world examples. After completing the course, students will get a basic understanding about the wireless and mobile networks and related problem solving discipline using mathematics / engineering principles.

1st Week: An overview of wireless networks
2nd Week: Broadband Communication Technologies
3rd Week: 3G Communication Technologies
4th Week: 4G and Beyond
5th Week: Wireless Local Area Networks
6th Week: Midterm Exam-I
7th Week: Near Field Communications
8th Week: RFID
9th Week: Ad Hoc Networks
10th Week: Wireless Sensor Networks
11th Week: Midterm Exam-II
12th Week: Packet Size Optimization in Wireless Networks
13th Week: Underwater Acoustic and Underground Communications
14th Week: Vehicular Networks and Review

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	1st Week: An overview of wireless networks
2)	2nd Week: Broadband Communication Technologies
3)	3rd Week: 3G Communication Technologies
4)	4th Week: 4G and Beyond
5)	5th Week: Wireless Local Area Networks
6)	6th Week: Midterm Exam-I
7)	7th Week: Near Field Communications
8)	8th Week: RFID
9)	9th Week: Ad Hoc Networks
10)	10th Week: Wireless Sensor Networks
11)	11th Week: Midterm Exam-II
12)	12th Week: Packet Size Optimization in Wireless Networks
13)	13th Week: Underwater Acoustic and Underground Communications
14)	14th Week: Vehicular Networks

Sources

Course Notes / Textbooks:	1. W. Stallings, “Data and Computer Communications,” Prentice Hall, 8th edition, 2007.
References:	2. I.F. Akyildiz and M.C. Vuran, ''Wireless Sensor Networks,'' John Wiley & Sons, 2010.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	10	% 5
Project	1	% 25
Midterms	2	% 40
Final	1	% 30
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 45
PERCENTAGE OF FINAL WORK		% 55
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	14	82
Midterms	2	6
Final	1	3
Total Workload		133

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	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.
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.	4
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.