EEE436 TELECOMMUNICATIONS II
| Course Code: | 3560436 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. CEM DİREKOĞLU |
| Offered Semester: | Fall Semesters. |
Course Objectives
1. Comprehend Amplitude Modulation (AM), Frequency Modulation (FM) and Phase Modulation (PM) for bandpass communication.
2. Develop an understanding of Frequency Division Multiple Access technique (FDMA).
3. Understand the digital modulated systems: Binary modulated bandpass signaling and multilevel modulated bandpass signaling.
4. Develop an understanding of Code Division Multiple Access technique (CDMA): Direct Sequence CDMA and Frequency Hopped CDMA.
5. Understand random processes and signals.
Course Content
Pulse modulation: Sampling process, pulse-amplitude modulation, time-division multiplexing, quantization, pulse-code modulation. Line codes. Baseband pulse transmission. Digital passband transmission. Introduction to information theory and error control coding.
Course Learning Outcomes
Having successfully completed this course, the student will be able to:
1. Develop an understanding of the analog and digital modulation techniques.
2. Develop an understanding of Amplitude Modulation, Frequency Modulation (FM) and Phase Modulation (PM) for bandpass communication.
3. Develop an understanding of Frequency Division Multiple Access technique (FDMA).
4. Understand the digital modulated systems: Binary modulated bandpass signaling (OOK, BPSK, FSK) and multilevel modulated bandpass signaling (M-PSK, M-QAM, M-FSK).
5. Understand the purpose of matched filtering.
6. Develop an understanding of Code Division Multiple Access technique (CDMA): Direct Sequence CDMA and Frequency Hopped CDMA.
7. Understand Random Processes: Stationary and Ergodicity properties, Correlation functions. DC, Power and RMS values of Ergodic processes.
8. Understand Power Spectral Density and Bandwidth measures of Random Processes.