| ENERGY SYSTEMS ENGINEERING | |||||
| 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 | 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 : | Assist. Prof. 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 provide students with an understanding about the wireless and mobile networks, as well as related problem-solving skills using mathematics and engineering principles. |
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The students who have succeeded in this course; I. An ability to design algorithms to solve 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 develop simple code to address network challenges, and to prepare academically-written 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 The teaching methods of the course are as follows: - Lecture - Individual Study - Reading - Group Work - Problem Solving - Application - Discussion - Project Preparation |
| 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 | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 7 | 4 | 28 |
| Presentations / Seminar | 1 | 20 | 20 |
| Project | 1 | 25 | 25 |
| Paper Submission | 1 | 10 | 10 |
| Final | 1 | 15 | 15 |
| Total Workload | 140 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
| 2) | Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
| 3) | Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. | |
| 4) | Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively. | |
| 5) | Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering. | |
| 6) | Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems | |
| 7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. | |
| 8) | Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. | 3 |
| 9) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications. | |
| 10) | Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
| 11) | Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions. |