MATHEMATICS | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CMP4323 | Wireless and Mobile Networks | Spring Fall |
3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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 : | Dr. Öğr. Üyesi ECE GELAL SOYAK |
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. |
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. |
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 |
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 |
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. |
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 |
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 |
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. |