Course Details

ELE324 - Telecommunication Theory I

2023-2024 Spring term information
The course is open this term
Name Surname Position Section
Prof.Dr. Emre Aktaş Supervisor 21
Prof.Dr. Cenk Toker Supervisor 22
Weekly Schedule by Sections
Section Day, Hours, Place
21 Monday, 13:40 - 16:30, E6
22 Monday, 09:40 - 12:30, E8

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.

ELE324 - Telecommunication Theory I
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 5
Obligation : Must
Prerequisite courses : ELE301
Concurrent courses : ELE326
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving, Other: This course must be taken together with ELE326 TELECOMMUNICATIONS LABORATORY I.
Course objective : Upon succesful completion of the course the student - Understand the notions of modulation and demodulation in electrical communication - Understand the structures of fundamental analog communication systems - Understand the notion of noise in communications, its mathematical representation, and its effect on analog communication systems
Learning outcomes : Use baseband representations of passband modulated signals Learn fundamental analog communication systems Understand coherent detection and the effect of phase offset Understand power and bandwidth efficiency in modulation Know modelling of noise in communications, use fundamental methods for noise analysis, and the noise performance of fundamental analog systems
Course content : I. Review of the Fourier transform and its properties. Transmission of signals through linear sytems. Filters II. Amplitude modulation (AM), double-sideband subressed carrier modulation (DSB-SC), III. Hilbert Transform, pre-envelope, canonical representation of band-pass signals, band-pass systems IV. Filtering of sidebands, vestigal sideband modulation, single sideband modulation (SSB) V. Angle modulation, frequency modulation (FM) VI. Random processes, correlation function, power spectral density VII. Noise in AM modulation VIII. Noise in FM modulation
References : Haykin, Communication systems
Course Outline Weekly
Weeks Topics
1 Review of the Fourier transform and its properties. Transmission of signals through linear sytems. Filters
2 Amplitude modulation (AM)
3 Double-sideband subressed carrier modulation (DSB-SC)
4 Hilbert Transform, pre-envelope, canonical representation of band-pass signals
5 Filtering of sidebands, vestigal sideband modulation, single sideband modulation (SSB)
6 Frequency division multiplexing
7 Angle modulation
8 Narrowband FM
9 Wideband FM
10 Midterm exam
11 Random processes
12 Random processes
13 Noise in AM modulation
14 Noise in FM modulation
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 6 84
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 0 0 0
Final Exam (Study duration) 1 20 20
Total workload 29 29 146
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
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering