ELE634 - DIGITAL COMMUNICATIONS II
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
DIGITAL COMMUNICATIONS II | ELE634 | Any Semester/Year | 3 | 0 | 3 | 8 |
Prequisites | ||||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | ||||||
Instructor (s) | Department Faculty | |||||
Course objective | ||||||
Learning outcomes |
| |||||
Course Content | ||||||
References |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Fading multipath channels. Time-variant multipath channels, statistical characterisation of multipath channels. |
Week 2 | Multipath intensity profile, frequency and time selectivity, coherence time, coherence bandwidth. |
Week 3 | Channel impulse response, channel model, slow fading, fast fading, |
Week 4 | Mobile radio channel, digital signaling over flat and frequency selective slowly fading channels. Rake demodulator. |
Week 5 | Diversity and combining techniques. Transmit vs receive diversity. Macroscopic and microscopic diversity. Time, frequency, space, angle and polarisation diversity. |
Week 6 | SIMO systems. Diversity combining techniques. Pre-detection and post-detection combining. Selective and switched combining. Equal-gain combining and maximal ratio combining. |
Week 7 | Midterm Exam I |
Week 8 | The performance of diversity systems in fading. MISO systems with channel state information (CSI) (un)available at the transmitter. Alamouti technique. |
Week 9 | MIMO systems. Diversity gain, multiplexing gain and array gain. MIMO channel capacity. |
Week 10 | Multiple access communications. TDD and FDD. Fixed-assignment, demand-assignment and random access. Frequency division multiple access (FDMA), time division multiple access (TDMA) and code division multiple access (CDMA). Capacity of FDMA, TDMA and C |
Week 11 | Random access methods; ALOHA, slotted ALOHA, reservation ALOHA, carrier sense multiple access (CSMA), token-ring. Polling techniques. |
Week 12 | Midterm Exam II |
Week 13 | Wireless access protocols and systems. WiMax, Wi-Fi, Bluetooth and Zigbee. |
Week 14 | Queueing theory; Erlang-B and C formulas. |
Week 15 | Preparation to Final exam |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 6 | 5 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 1 | 5 |
Midterms | 2 | 40 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 9 | 50 |
Percentage of final exam contributing grade succes | 1 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 5 | 70 |
Presentation / Seminar Preparation | 1 | 12 | 12 |
Project | 0 | 0 | 0 |
Homework assignment | 6 | 4 | 24 |
Midterms (Study duration) | 2 | 30 | 60 |
Final Exam (Study duration) | 1 | 30 | 30 |
Total Workload | 38 | 84 | 238 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge. | X | ||||
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering. | X | ||||
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | X | ||||
4. Designs and runs research projects, analyzes and interprets the results. | X | ||||
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects. | X | ||||
6. Produces novel solutions for problems. | X | ||||
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. | X | ||||
8. Follows technological developments, improves him/herself , easily adapts to new conditions. | X | ||||
9. Is aware of ethical, social and environmental impacts of his/her work. | X | ||||
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest