ACADEMICS
Course Details
ELE425 - Telecommunication Theory II
2025-2026 Fall term information
The course is open this term
| Name Surname | Position | Section |
|---|---|---|
| Dr. Emre Aktaş | Supervisor | 21 |
| Section | Day, Hours, Place |
|---|---|
| 21 | Wednesday, 09:40 - 12:30, E2 |
Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.
ELE425 - Telecommunication Theory II
| Program | Theoretıcal hours | Practical hours | Local credit | ECTS credit |
| Undergraduate | 3 | 0 | 3 | 6 |
| Obligation | : | Elective |
| Prerequisite courses | : | ELE320 ELE324 |
| Concurrent courses | : | ELE427 |
| Delivery modes | : | Face-to-Face |
| Learning and teaching strategies | : | Lecture, Question and Answer, Problem Solving, Other: This course must be taken together with ELE427 TELECOMMUNICATIONS THEORY LABORATORY II. |
| Course objective | : | The students are expected to learn digital modulation, receivers and error probability performance in AWGN channels, pulse shaping and limits of communication in bandlimited channels, analog pulse modulation, quantization. |
| Learning outcomes | : | A student who completes the course successfully will understand Fundamental modulation methods in digital communications Optimum receivers, MAP and ML detectors in AWGN channels Probability of symbol and bit errors, Q function, bounds on probabilty of error Digital transmission through bandlimited channels, Nyquist criterion for zero ISI |
| Course content | : | Geometric representation of waveform signals PAM, ASK, PSK, QAM, FSK modulation Receivers and error probability performance in AWGN channels Digital transmission through bandlimited channels and Nyquist criterion for zero ISI |
| References | : | J. G. Proakis and M. Salehi, Communications System Engineering, 2nd Ed, Prentice Hall, 2002. |
| Weeks | Topics |
|---|---|
| 1 | Introduction, geometric representation of waveform signals, vector space, dimensionality, basis vectors |
| 2 | Inner product vector spaces, orthonormal bases, vector space of finite energy functions, Gram Schmidt orthonormalization |
| 3 | Pulse amplitude modulation |
| 4 | Two dimensional waveforms |
| 5 | PSK and QAM modulation |
| 6 | Multidimensional waveforms, FSK modulation |
| 7 | AWGN channel, matched filter, correlator |
| 8 | Optimum receivers in AWGN, MAP, ML receivers, decision regions |
| 9 | Probability of error for binary signaling, Q function |
| 10 | Pairwise error probability, union bound, lower bound on error probability |
| 11 | Midterm |
| 12 | Digital transmission through bandlimited AWGN channels, Nyquist criterion for zero ISI |
| 13 | Analog pulse modulation, A/D conversion |
| 14 | Time and phase synchronization, DPSK |
| 15 | Preparation for Final exam |
| 16 | Final exam |
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Quiz | 0 | 0 |
| Midterms | 2 | 50 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade success | 50 | |
| Percentage of final exam contributing grade success | 50 | |
| Total | 100 | |
| Course activities | Number | Duration (hours) | Total workload |
|---|---|---|---|
| Course Duration | 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, etc.) | 14 | 3 | 42 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Midterms (Study Duration) | 2 | 30 | 60 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total workload | 31 | 66 | 174 |
| Key learning outcomes | Contribution level | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1. | Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | |||||
| 2. | Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | |||||
| 3. | Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | |||||
| 4. | Designs a system under realistic constraints using modern methods and tools. | |||||
| 5. | Designs and performs an experiment, analyzes and interprets the results. | |||||
| 6. | Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | |||||
| 7. | Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | |||||
| 8. | Performs project planning and time management, plans his/her career development. | |||||
| 9. | Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | |||||
| 10. | Is competent in oral or written communication; has advanced command of English. | |||||
| 11. | Has an awareness of his/her professional, ethical and social responsibilities. | |||||
| 12. | Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | |||||
| 13. | Is innovative and inquisitive; has a high level of professional self-esteem. | |||||
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest