technifyed

University of Colorado Boulder via Coursera

Modeling and Debugging Embedded Systems

4.6245 ratings at Coursera

Overview

In this course, to study hypothetical scenarios, students learn about Digital Twins, using SystemC to model physical systems highly instrumented with sensors and actuators. We also look deeper into the Automotive and Transportation market segment, studying technologies and opportunities in that market space. Students learn techniques for debugging deeply embedded systems, then we examine technical idea promotion within a company, and learning from failures.

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Electrical Engineering (MS-EE) degree offered on the Coursera platform. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:

MS in Electrical Engineering: https://www.coursera.org/degrees/msee-boulder

Syllabus 4

  1. SystemC, Trimble Engineering Guest Speaker 3.5 hours

    In this module you will learn about creating models, also known as "Digital Twins", using a programming language called SystemC, and hear a guest speaker from Trimble Engineering.

  2. Automotive and Transportation, Deeper Dive 3 hours

    In this module we will take a deeper look into the Automotive and Transportation sector, as this sector is poised for large growth. This sector also has numerous employment opportunities given the vast array of embedded systems deployed.

  3. Debugging Deeply Embedded Systems, Lauterbach Guest Speaker 3 hours

    In this module you will learn about debugging deeply embedded systems, and you will get to hear a guest speaker from Lauterbach, a company that provides leading edge debugging solutions for embedded systems.

  4. Promoting Technical Ideas, Learning from Failures 2 hours

    In the final module of this course you will hear my thoughts on how engineers can promote technical ideas up the management ladder, and hopefully get enough traction with management to turn your ideas into shipping products. Additionally, we will briefly take a look at what we can learn from engine…

Skills you'll practise

DebuggingInternet Of ThingsOperating SystemsNetwork SecurityProduct DevelopmentProject PlanningProcess ManagementEconomicsPlanningLeadership and Management

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Rated 4.6 out of 5 by 245 learners.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • David SluiterProfessor Adjunct, Electrical, Computer, and Energy Engineering

University of Colorado Boulder is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100). Large online catalogue, good quality.

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