EdX

Signals and Systems, Part 1 (edX)

Offered by IIT Bombay, IITBombayX,
Signals and Systems, Part 1 (edX)

This course provides the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterization. We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images.

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

Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems.
This course is divided into two parts. In this part (EE210.1x), we will explore the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform, while the next part (EE210.2x), will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform. Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science.

What you'll learn:

  • How to unite abstractions for several kinds of systems, to draw a common system description
  • How to identify properties that this system has or does not have
  • How to deal with an important class of systems namely, linear shift invariant systems
  • How to represent and analyze signals and systems in the Fourier domain

Prerequisites

  • High school mathematics: Sequence and series, algebra of complex numbers, basic trigonometry.
  • Calculus: Differential and Integral calculus (single variable). Knowledge of differential equations is helpful but not required.
  • Corequisites: Basic circuit analysis - ohm's law, KVL, KCL
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Fundamentos de Mecánica para Ingeniería (edX) EdX
Universitat Politècnica de València,UPValenciaX

Fundamentos de Mecánica para Ingeniería (edX)

Estudiaremos la cinemática y la dinámica del punto, los conceptos de trabajo y potencia y la energía mecánica. Se aborda el estudio del universo físico analizando objetos en movimiento. Se definen y analizan todas las magnitudes y leyes físicas que permiten describir geométrica y causalmente el movimiento de cuerpos representados por un punto.

Self Paced
Self-Paced
Project Management of Engineering Projects: Preparing for Success (edX) EdX
Delft University of Technology,DelftX

Project Management of Engineering Projects: Preparing for Success (edX)

Create your own project plan and learn the importance of the early project phases in achieving project success. People are key! Are you a (project) engineer with a technical background but lack management knowledge? Are you eager to improve project performance and want to expand your knowledge? This business and management course will focus on the necessary project management skills to successfully manage projects.

Sep 24th 2026
5-12 Weeks
Cellular Polymers: Structure, Properties, Processing, Applications (edX) EdX
University of Bayreuth,BayreuthX

Cellular Polymers: Structure, Properties, Processing, Applications (edX)

Take our MOOC and dive deep into Cellular Polymers. Understand what makes them superior to other materials, how they are processed and why they are used in countless applications in our everyday life. This MOOC is your first step in the pioneering field of Cellular Polymers that connects chemistry, physics, materials science, engineering, and technology. Get yourself ready and enroll now.

Self Paced
Self-Paced
Decision-Making for Autonomous Systems (edX) EdX
Chalmers University of Technology,ChalmersX

Decision-Making for Autonomous Systems (edX)

Learn effective tactics for making key decisions when working with autonomous, self-driving vehicles. In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems.

Self Paced
Self-Paced
Modeling and Simulation of Multibody Systems - Part I (edX) EdX
LouvainX,Université Catholique de Louvain - UCL

Modeling and Simulation of Multibody Systems - Part I (edX)

Vehicles, bicycles, cranes, human body and robots are multibody systems. Learn how to model them and compute their kinematic and dynamic characteristics, such as velocities, accelerations and forces. This course aims at acquainting you with the modeling and simulation of complex articulated mechanical systems, denoted as multibody systems, such as vehicles, merry-go-rounds, motorbikes, cranes, human bodies, suspensions, robot manipulators, mechanical transmissions, etc.

Self Paced
Self-Paced
Recommender Systems: Behind the Screen (edX) EdX
Université de Montréal,UMontrealX

Recommender Systems: Behind the Screen (edX)

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement. In this course, you will explore and learn the best methods and practices in recommender systems, which are an essential component of the online ecosystem. This course was developed by IVADO and HEC Montréal as part of a workshop that took place in Montreal.

Self Paced
5-12 Weeks
A Hands-on Introduction to Engineering Simulations (edX) EdX
CornellX,Cornell University

A Hands-on Introduction to Engineering Simulations (edX)

Learn how to analyze real-world engineering problems using ANSYS simulation software and gain important professional skills sought by employers. In this hands-on course, you’ll learn how to perform engineering simulations using a powerful tool from ANSYS, Inc. This is a problem-based course where you’ll learn by doing. The focus will be on understanding what’s under the blackbox so as to move beyond garbage-in, garbage-out. You’ll practice using a common solution approach to problems involving different physics: structural mechanics, fluid dynamics and heat transfer.

Self Paced
Self-Paced
Dynamics and Control (edX) EdX
Universitat Politècnica de València,UPValenciaX

Dynamics and Control (edX)

This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control are introduced. Then, looking at many examples in Nature and human made devices, we will realize that the dynamic behavior of most systems can be modified by adding a control system. Later we will see how knowing how to evaluate the dynamic behavior of a system and measure its performance will provide the tools to design new controlled systems fulfilling some requirements.

Self Paced
Self-Paced
Logistics Fundamentals (edX) EdX
LOGYCAX

Logistics Fundamentals (edX)

Have you ever wondered how products arrive at your hands? From the clothes we wear to the food we consume, they have been through a series of links, processes, operations and flows we know as logistics. Logistics are the first trait for a company’s success! Learn all about logistics and how you can use it to achieve every goal in your organization. In this online course you will gain a holistic view of logistics and transportation within your company, which is useful to understand how a company can thing strategically thanks to basic but essential content.

Self Paced
Self-Paced
Introduction to Discrete Choice Models (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Introduction to Discrete Choice Models (edX)

The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling. Human behavior is complexand unpredictable. Or is it? The focus of this course is methods for predicting the behavior using mathematical models. More specifically, we'll explore choice modeling in order to obtain disaggregate demand models.

Self Paced
Self-Paced