Embedded Systems | ECSE 421 - McGill University

McGill

Explore the fundamentals of embedded system design, including hardware, software, and optimization techniques. Gain hands-on experience with an industrially relevant platform.

University CoursesReal-Time Operating Systems

Introduction

An embedded system is any computer system embedded in a larger product for the purpose of monitoring or controlling some part of the larger system. Embedded systems, unlike general-purpose computer systems, are highly optimized to deliver the best application-specific performance possible under a wide and varying set of constraints. This course covers the basic elements of embedded system design, including system specification and modeling, the components of embedded hardware and software, and techniques for system validation, evaluation, and optimization.

screenshot

Highlights

  • Familiarize students with each aspect of embedded system design and their relationship with design and optimization as a whole
  • Provide hands-on experience developing a working embedded system on an industrially relevant hardware platform
  • Cover topics such as real-time programming, microcontroller and DSP architectures, real-time kernels and services, and networking for distributed systems

Recommendation

This course is recommended for students interested in the principles of design for embedded systems, who want to gain experience applying various models for describing components of computation and communication protocols, and understanding the fundamentals of embedded system hardware and software, as well as associated evaluation and validation techniques.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Introduction to Embedded Systems, Second Edition

13
Technical TutorialsEmbedded SystemsReal-Time Operating Systems
Comprehensive guide to the fundamentals of embedded systems, covering hardware-software co-design, real-time operating systems, and embedded software design.

Great Ideas in Computer Architecture | Machine Structures | UC Berkeley

22
University CoursesC
Explore fundamental concepts in computer architecture, including C and assembly programming, caches, performance measurement, and parallelism. Gain valuable skills for computer science and engineering.

Computation Structures | Digital Systems Design | Hardware-Software Intersection

28
University CoursesComputer Architecture
Explore the fundamentals of computation structures with MIT's 6.004 course, covering digital system architecture, hardware-software integration, and contemporary software structures.

Introduction to the Internet: Architecture and Protocols | CS 168 - UC Berkeley

28
University Courses
Comprehensive course on the fundamental design principles and architecture of the Internet, covering key protocols and technologies. Ideal for students interested in networking and internet infrastructure.

Systems Programming | C Language | UNIX/Linux

13
University CoursesC
Gain a deep understanding of system programming and develop skills to write high-performance, low-level software like web servers and multiplayer internet games.

Distributed Systems | CS 425 - Univ of Illinois, Urbana-Champaign

3
University CoursesComputer ScienceDistributed Systems
Comprehensive course covering fundamental concepts in distributed systems, including vector clocks, consensus, and Paxos. Taught by experienced professor Indranil Gupta.

Cloud Computing | Cornell University CS 5412

12
University CoursesCloud ComputingDistributed Systems
Explore the technology of cloud computing, including cloud architecture, scalability, and security. Taught by industry expert Ken Birman.

Computer Architecture | CSCI 360 | CUNY Hunter College

22
University CoursesComputer ArchitectureGPU Programming
Dive into advanced computer architecture topics like cache design, memory hierarchies, and multiprocessors, including in-depth coverage of GPUs and hands-on CUDA programming.

Parallel Computing | CSCI 493.75 - CUNY Hunter College

25
University CoursesCC++
Dive into parallel algorithms and programming with C/C++, MPI, and OpenMP. Gain hands-on experience and understand the principles of high-performance computing.