EE436 COMMUNICATIONS II
| Course Code: | 5670436 |
| METU Credit (Theoretical-Laboratory hours/week): | 4 (3.00 - 2.00) |
| ECTS Credit: | 7.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. AYŞE MELDA YÜKSEL TURGUT |
| Offered Semester: | Spring Semesters. |
Course Objectives
The basic objective of this course is to provide students with the necessary foundations of modern digital modulation techniques and tools for spectral and error analysis of digital communication systems. At the end of the course, the students will have
- Learned the basics of digital communication in different channels,
- Been introduced to basic engineering issues in communication systems,
- Dealt with various communication system applications,
- Obtained information about the basic components of a more general communication system,
- Been exposed to subjective and practical matters considered in system design,
- Comprehended how current communication systems work through the laboratory experience enabled by software defined radio devices.
Course Content
M-ary digital modulation. Spectrum of digital modulation schemes. Transmission in band-limited channels. Synchronization. Wireless channel models. Multi-carrier modulation .Multi-antenna communication .Introduction to information theory.Introduction to coding theory.
Course Learning Outcomes
This course is designed for students who are interested in the fundamental principles of wireless communications and their practical applications. The main learning outcome is that students will gain a deep understanding of key concepts in digital and wireless communications, including transmission in band-limited channels, multi-carrier modulation, and multi-user communication systems. These concepts are crucial for modern technologies such as 5G networks, IoT, and advanced wireless systems. Another important learning outcome is that students will develop analytical skills to evaluate wireless channel models, optimize signal transmission, and design efficient communication systems. A further learning outcome is that students will reinforce their understanding by applying these concepts through hands-on simulations and MATLAB-based projects.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||