Coursera

Sistemas Digitales: De las puertas lógicas al procesador (Coursera)

Offered by Universitat Autònoma de Barcelona,

En este curso aprenderemos los fundamentos del diseño de los circuitos digitales actuales, siguiendo una orientación eminentemente práctica. A diferencia de otros cursos más "clásicos" de Circuitos Digitales, nuestro interés se centrará más en el Sistema que en la Electrónica que lo sustenta. Este enfoque nos permitirá sentar las bases del diseño de Sistemas Digitales complejos.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Se trata de un curso muy adecuado para estudiantes de primeros cursos de carreras de Ingenierías cercanas a las TIC (Tecnologías de la Información y de las Comunicaciones), y para todas aquellas personas que deseen introducirse en el mundo de los Sistemas Digitales. Por otra parte, este primer curso de Sistemas Digitales es un paso obligado para aquellas personas que deseen posteriormente profundizar en temas como el hardware de computadores y/o los circuitos integrados de aplicación específica, con todas las aplicaciones que ello implica (robótica, biónica, control industrial, etc.).
Al acabar el curso serás capaz de:

Diseñar Sistemas Digitales de complejidad media.
Comprender la descripción de Sistemas Digitales mediante lenguajes de alto nivel como VHDL.
Comprender el funcionamiento de los computadores a su nivel más básico (lenguaje máquina), así como su materialización e interpretación a través de sistemas digitales algorítmicos.

Syllabus:

Week 1: Todo lo que necesitas saber para comenzar el curso. ¿Qué son los Sistemas Digitales?
Week 2: Circuitos Combinacionales (I)
Week 3: Circuitos Combinacionales (II)
Week 4: Circuitos aritméticos + Introducción al VHDL
Week 5: Circuitos Secuenciales (I)
Week 6: Circuitos Secuenciales (II)
Week 7: Máquinas de estados finitos
Week 8: Implementación de sistemas digitales

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Georgia Institute of Technology

Introduction to Engineering Mechanics (Coursera)

Engineering

This course is an introduction to learning and applying the principles required to solve engineering mechanics problems. Concepts will be applied in this course from previous courses you have taken in basic math and physics. The course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering applications and problem solving.

Nov 16th 2026

5-12 Weeks

Mechanics Engineering Mechanical Engineering

Coursera

National Taiwan University

BIM Fundamentals for Engineers (Coursera)

Engineering

The course is designed for students to learn the essential concepts of BIM, and the basic technical skills to create and manipulate a BIM model. Those skills include how to retrieve information from a BIM model and how to use common modeling tools.

Nov 16th 2026

5-12 Weeks

Engineering Mechanical Engineering BIM

Coursera

University of Leeds

Financing and Initiating Major Engineering Projects (Coursera)

Engineering

To successfully lead major projects you have to understand typical investor and project financing approaches. In this course, you’ll learn to interpret some key contractual instruments that are relevant for the financing of major engineering projects so that you are in a position to ensure the financially secure delivery of your project. You’ll explore the concept of “time value of money” and be able to compute key indicators such as “Pay-back time”, “Net Present value” and “Internal Rate of Return”.

Nov 9th 2026

5-12 Weeks

Finance Engineering Project Management

Coursera

University of Michigan

Ethics in Engineering (Coursera)

Engineering

e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school Explore unique case studies in engineering ethics. On this four-week course, you’ll examine different historical case studies and understand how they led to classic engineering failures. Though each case is unique and has a distinct context, they all share common themes; a backstory, a disastrous event, a post-event with ramifications, and outcomes.

Nov 16th 2026

4 Weeks

Ethics Engineering Coursera Plus

Coursera

The Chinese University of Hong Kong

Information Theory (Coursera)

CS: Information & Technology

At the completion of this course, the student should be able to: demonstrate knowledge and understanding of the fundamentals of information theory; appreciate the notion of fundamental limits in communication systems and more generally all systems; develop deeper understanding of communication systems; apply the concepts of information theory to various disciplines in information science.

Nov 2nd 2026

13-24 Weeks

Math Network Algorithms

Coursera

Princeton University

Analytic Combinatorics (Coursera)

CS: Theory Sci: Mathematics

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations. All the features of this course are available for free. It does not offer a certificate upon completion.

Nov 2nd 2026

5-12 Weeks

Math Calculus Analytic Combinatorics

Coursera

University of Illinois at Urbana-Champaign

VLSI CAD Part I: Logic (Coursera)

CS: Software Engineering CS: Theory

A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc. How do we design these complex chips? Answer: CAD software tools. Learn how to build thesA modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design.

Nov 16th 2026

5-12 Weeks

Programming Algorithms Logic

Coursera

École Polytechnique Fédérale de Lausanne

Digital Signal Processing 4: Applications (Coursera)

Engineering Sci: Physics

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.

Nov 9th 2026

3 Weeks

Algorithms DSP Signal Processing

Coursera

Georgia Institute of Technology

Applications in Engineering Mechanics (Coursera)

Engineering

This course applies principles learned in my course “Introduction to Engineering Mechanics” to analyze real world engineering structures. You will need to have mastered the engineering fundamentals from that class in order to be successful in this course offering. This course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering systems and problem solving.

Nov 2nd 2026

5-12 Weeks

Mechanics Engineering Engineering Mechanics

Coursera

Fred Hutchinson Cancer Center

Practical Steps for Building Fair AI Algorithms (Coursera)

Computer Science

Algorithms increasingly help make high-stakes decisions in healthcare, criminal justice, hiring, and other important areas. This makes it essential that these algorithms be fair, but recent years have shown the many ways algorithms can have biases by age, gender, nationality, race, and other attributes. This course will teach you ten practical principles for designing fair algorithms. It will emphasize real-world relevance via concrete takeaways from case studies of modern algorithms, including those in criminal justice, healthcare, and large language models like ChatGPT. You will come away with an understanding of the basic rules to follow when trying to design fair algorithms, and assess algorithms for fairness.

Nov 9th 2026

4 Weeks

Algorithms Algorithm Design Bias

Coursera

EIT Digital

Approximation Algorithms (Coursera)

Computer Science

Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example because the problems are NP-hard. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the optimal solution to certain problems, but an approximation that is close to the optimal solution. We will see how to efficiently find such approximations.

Nov 13th 2026

4 Weeks

Algorithms Approximation Algorithms LP Relaxation

Coursera

University of Manchester

Protecting the World: Introducing Corrosion Science and Engineering (Coursera)

Engineering

If you have ever encountered rusty car bodies, leaking pipes, tarnished silverware or the green patina of a copper roof then you have experienced corrosion in action. This course, from the Corrosion@Manchester team in collaboration with AkzoNobel, will teach you why metals corrode, what the environmental consequences are, how much corrosion costs and how corrosion can be controlled. It is designed for students, householders, teachers, professionals and anyone in-between.

Nov 16th 2026

4 Weeks

Engineering Corrosion Corrosion Science