Digital Electronics

Universidad Carlos III de Madrid

Course Description

  • Course Name

    Digital Electronics

  • Host University

    Universidad Carlos III de Madrid

  • Location

    Madrid, Spain

  • Area of Study

    Electronics Engineering, Systems Engineering

  • Language Level

    Taught In English

  • Course Level Recommendations

    Lower

    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

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Digital Electronics (214 - 13322)
    Study: Bachelor in Audiovisual System Engineering
    Semester 2/Spring Semester
    1st Year Course/Lower Division

    Compentences and Skills that will be Acquired and Learning Results:

    CB1 That students have demonstrated knowledge and understanding in a field of study that part of the basis of general secondary education, and is typically at a level which, although it is supported by advanced textbooks, includes some aspects that imply knowledge of the forefront of their field of study
    CB2 That students can apply their knowledge to their work or vocation in a professional manner and have competences typically demonstrated through devising and defending arguments and solving problems within their field of study
    CG3 Knowledge of basic materials and technologies, enabling him to learn new methods and technologies and that will equip versatility to adapt to new situations.
    CG13 Understanding and mastery of basic concepts of linear systems and related functions and transforms, theory of electrical circuits, electronic circuits, physical principles of semiconductors and logic families, electronic and photonic devices, materials technology and its application to solve own engineering problems.
    ECRT9 capacity analysis and design of combinational and sequential circuits, synchronous and asynchronous, and use of microprocessors and integrated circuits.
    ECRT10 Knowledge and application of the fundamentals of ¿¿hardware description languages on computers with conventional architectures, sequential, parallel and multiprocessing type.

    Description of Contents: Course Description

    1. Number systems and information representation
    1.1. Number Systems
    1.2. Number Systems Conversions
    1.3. Binary Codes
    2. Boolean Algebra and logic functions
    2.1. Postulates and fundamental properties of Boolean Algebra
    2.2. Boolean functions and expressions
    2.3. Logic gates. Digital technologies. Implementation of logic functions
    2.4. Minimization of logic functions
    3. Combinational circuits
    3.1. Basic combinational circuits
    3.1.1. Encoders
    3.1.2. Decoders
    3.1.3. Multiplexers
    3.1.4. Demultiplexers
    3.1.5. Comparators
    3.2. Asociation of basic combinational circuits
    3.3. Logic function implementation using combinational circuits
    4. Arithmetic combinational circuits
    4.1. Representing signed numbers
    4.2. Sistemas de Signo y Magnitud, Complemento a 1 y Complemento a 2
    4.3. Binary Arithmetic
    4.3.1. Addition and subtraction
    4.3.2. Multiplication and division
    4.4. Representing real numbers
    4.5. Addition and Subtraction Circuits
    4.6. Circuits for multiplication
    4.7. Arithmetic Logic Units (ALUs)
    5. Flip-Flops
    5.1. Asynchronous flip-flops
    5.2. Synchronous flip-flops
    5.3. Flip-flop control logic
    5.4. Timing characteristics
    5.5. Synchronous circuits
    5.6. Circuits with flip-flops: chronograms
    6. Synchronous sequential circuits
    6.1. Finite State Machines
    6.1.1. Moore model
    6.1.2. Mealy model
    6.2. Synchronous Sequential Circuits Analysis
    6.3. Synchronous Sequential Circuits Synthesis
    7. Registers and Counters
    7.1. Registers
    7.2. Counters
    7.2.1. Synchronous counters
    7.2.2. Counter as a Finite State Machine
    7.2.3. Counter applications
    8. Memories
    8.1. Memory types
    8.2. Characteristics of memories
    8.3. Internal organization of a memory
    8.4. Extension of memory size
    8.5. Memory access chronograms
    8.6. Applications
    9. Digital Systems
    9.1. Structure of a digital system
    9.1.1. Data path
    9.1.2. Control Unit
    9.2. Introduction to digital systems design
    9.2.1. Integrated circuits
    9.2.2. Digital Technologies
    9.2.3. ASICs
    9.2.4. Programmable logic devices
    9.2.5. Microprocessors

    Learning Activities and Methodology:

    - 40% Lectures: 2,4 ECTS. Intended to reach the specific competences of the course. Students will receive class notes and reference books in order to work and get in-depth knowledge on the course contents.
    - 40% Problem classes: 2,4 ECTS. Oriented to exercise resolution and Ongoing Evaluation.
    - 20% Lab practices: 1,2 ECTS. Design and development of digital circuits using simulation tools with the aid of the professor

    Assessment System:

    Student's work will be evaluated continuously through exercises and exams, practical work and other academic activities, with the following weights:
    Parcial exams: 25%
    Lab Practice: 15% (assistance is compulsory)
    Final Exam: 60%

    Basic Bibliography:

    FLOYD, T.L.. Systems Fundamentals. Prentice-Hall.
    HAYES, J.P. Introduction to Digital Logic Design. Addison-Wesley.
    Michael Garcia Lorenz, Luis Mengibar Pozo. Problemas de Examenes: Electrónica Digital. UC3M - Copy-Red. 2008
    Rafael Reina Acedo, Michael Garcia Lorenz, Juan Vazquez. Electronica digital en la practica. RAMA. 2010
    Tocci R.J., Widmer N.S., Moss, G.L.. Digital Systems: Principles and Applications. Pearson Prentice Hall.

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.