Communication Theory

Universidad Carlos III de Madrid

Course Description

  • Course Name

    Communication Theory

  • Host University

    Universidad Carlos III de Madrid

  • Location

    Madrid, Spain

  • Area of Study

    Systems Engineering

  • Language Level

    Taught In English

  • Prerequisites


    Systems and Circuits
    Linear Systems

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Communication Theory (217 - 13497)
    Study: Bachelor in Communication System Engineering
    Semester 2/Spring Semester
    2ND Year Course/Lower Division

    Please note: this course is cross-listed under a few engineering departments. Students should select the course from the department that best fits their area of study.

    Students are Expected to have completed:

    Statistics (First year, second semester)
    Systems and Circuits (First year, second semester)
    Linear Systems (Second year, first semester)

    Compentences and Skills that will be Acquired and Learning Results:

    Knowledge and management of the basic concepts and techniques for digital and analog communication such as noise, modulation and demodulation processes in digital communications, the information theory as a tool to establish the limits in communication systems and the fundamental techniques for analog communications.

    Therefore, the subject has the goal of allowing the student to acquire the following general competences:
    - Knowledge and development of technical skills required in the telecommunications field with emphasis in the analysis and mathematical characterization of a communication system.

    The same way than the following specific competences:

    - Acquisition of the knowledge of mathematics and statistics that will be used as a tool to solve engineering problems in the context of communication systems. (PO a, PO e, and PO k)
    - The ability to design and conduct experiments, as well as to analyze and interpret data and results. (PO b)
    - Design of a communication system with the constraints given by its critical parameters such as cost, consume of power, bandwidth, transmission rate, and complexity. (PO c)
    - Ability of effective communication of information, in speech and in writing. (PO g)

    Description of Contents: Course Description

    1. Noise in communication systems: stochastic processes for signal representation; white noise; signal to noise ratio.
    2. Modulation and detection in Gaussian channels: information modulation; demodulation and detection; error probability and BER; introduction to channel coding.
    3. Fundamental limits in digital communications: probabilistic channel models; digital channels; Gaussian channels; source coding
    4. Analog modulation fundamentals: linear and angular modulations; signal to noise ratio in analog communications

    Learning Activities and Methodology:

    Three teaching activities are proposed: Theoretical classes, exercise classes and laboratory exercises.

    The theoretical class will be given in the blackboard, with slides or by any other means to illustrate the concepts learnt. In these classes the explanation will be completed with examples. In these sessions the student will acquire the basic concepts of the course. It is important to highlight that these classes require the initiative and the personal and group involvement of the students (there will be concepts that the student himself should develop).

    Before the exercise class, the student will have available the exercise formulation. The student should solve the exercises proposed in order to assimilate the concepts obtained in the theoretical class in a more complex environment and to self-evaluate his knowledge.
    In the exercise class one student will have to present the exercise proposed solving and the rest of students should give feedback on this particular problem solving. This will encourage the opinion exchange between students and the professor and among students

    Basic concepts learnt during the course are applied in the laboratory and by means of simulation. The student should participate actively the exercise implementation; the level of the student involvement in this work grows from the first exercise to the last one where the student will be encouraged to propose and solve the problem.

    Assessment System:

    The final exam will determine 60% of the total course grade (6 points). (PO a, PO c, PO e, PO g, and PO k)
    The rest of the grading 40% (4 points) is obtained along the academic year as follows:

    1. At the end of each course chapter there will be an exercise that has to be solved in class. There will several of these tests, that will sum a total of 2 points to the total grade. (PO a, PO c, PO e, PO g, and PO k)
    2. In the classes of problems, participation and doing the different exercises will sum up to 1 point to the total grade (PO a, PO c, PO e, PO g, y PO k)
    3. Laboratory exercises. There are 4 exercises, the total grade here is 1 point. (PO b, PO k)

    The detailed rules for the rest of the grading will be provided at the beginning of the course.

    Basic Bibliography:

    A. Artés, F. Pérez González, J. Cid, R. López, C. Mosquera, F. Pérez Cruz.. Comunicaciones Digitales. Pearson Educación, 2007.
    Haykin, S.. Communication Systems. 4ª edición, New York, Willey, 2001.
    J. G. Proakis, M. Salehi. Communication Systems Engineering. 2ª edición, Englewood Cliff, NJ, Prentice-Hill, 2002.

Course Disclaimer

Courses and course hours of instruction are subject to change.

ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.


This site uses cookies to store information on your computer. Some are essential to make our site work; others help us improve the user experience. By using the site, you consent to the placement of these cookies.

Read our Privacy Policy to learn more.