Course Details

ELE425 - Telecommunication Theory II

2023-2024 Spring term information
The course is not open this term
ELE425 - Telecommunication Theory II
Program Theoretýcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Elective
Prerequisite courses : ELE302
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.
Course Outline Weekly
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
Assessment Methods
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
Workload and ECTS Calculation
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
Matrix Of The Course Learning Outcomes Versus Program Outcomes
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
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Minor Program For Non-departmental Students | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Erasmus+ Program | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
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