MATHEMATICS
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	Spring	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:	Non-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)	To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3)	To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,	4
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6)	To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,	4
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.