Modeling and Debugging Embedded Systems (Coursera)

Modeling and Debugging Embedded Systems (Coursera)

This is part 3 of the specialization. In this course students will learn : About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios; About Trimble Engineering's embedded systems for heavy equipment automation; A deeper understanding of embedded systems in the Automotive and Transportation market segment; How to debug deeply embedded systems; About Lauterbach's TRACE32 debugging tools; How to promote technical ideas within a company; * What can be learned from studying engineering failures.

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

What You Will Learn

  • About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios.
  • About Trimble Engineering's embedded systems for heavy equipment automation.
  • A deeper understanding of embedded systems in the Automotive and Transoprtion market segment.
  • How to debug deeply embedded systems.

Course 3 of 3 in the Developing Industrial Internet of Things Specialization.

Syllabus

WEEK 1
SystemC, Trimble Engineering Guest Speakers
In this module we will look at Modeling using a language called SystemC, and hear guest speakers from Trimble Engineering presenting on their products and services.

WEEK 2
Deep Dive: Automotive and Transportation
In this module we will take a deeper look into the Automotive and Transportation sector, as this sector is poised for large growth. If you’ll remember back to course 1 where we looked at market size opportunities, and saw there that the Automotive and Transportation sector was estimated to grow to 154 billion US dollars, at a CAGR of 30%.

WEEK 3
Debugging Deeply Embedded Systems, Lauterbach Guest Speaker
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.

WEEK 4
Promoting Technical Ideas, Learning from Failures
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 engineering and business failures.

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

Related Courses

Supply Chain Principles (Coursera) Coursera
Georgia Institute of Technology

Supply Chain Principles (Coursera)

This course will provide a solid understanding of what a supply chain is all about. The course: provides an introduction to Supply Chain; leverages graphics to promote the Integrated Supply Chain model; emphasizes understanding the Extended Supply Chain; presents a holistic approach – Incorporating People, Process, and Technology; calls-out industry-specific supply chain; leverages discussions, videos, quizzes, and questions for consideration; provides awareness of career path opportunities; presents emerging and futuristic trends in supply chain and given that at GT we are focused on developing what’s next in the world, we include Discussion of emerging and futuristic trends in supply chain. There is very little math involved in this course – so don’t worry at all about your math skills.

Aug 31st 2026
5-12 Weeks
Quantitative Formal Modeling and Worst-Case Performance Analysis (Coursera) Coursera
EIT Digital

Quantitative Formal Modeling and Worst-Case Performance Analysis (Coursera)

Welcome to Quantitative Formal Modeling and Worst-Case Performance Analysis. In this course, you will learn about modeling and solving performance problems in a fashion popular in theoretical computer science, and generally train your abstract thinking skills. After finishing this course, you have learned to think about the behavior of systems in terms of token production and consumption, and you are able to formalize this thinking mathematically in terms of prefix orders and counting functions. You have learned about Petri-nets, about timing, and about scheduling of token consumption/production systems, and for the special class of Petri-nets known as single-rate dataflow graphs, you will know how to perform a worst-case analysis of basic performance metrics, like throughput, latency and buffering.

Aug 24th 2026
4 Weeks
Introduction to Embedded Machine Learning (Coursera) Coursera
Edge Impulse

Introduction to Embedded Machine Learning (Coursera)

Machine learning allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers.

Sep 13th 2026
3 Weeks
Advanced Modeling for Discrete Optimization (Coursera) Coursera
University of Melbourne,The Chinese University of Hong Kong

Advanced Modeling for Discrete Optimization (Coursera)

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars.

Sep 14th 2026
5-12 Weeks
Design of Transmission Line: Modelling and Performance (Coursera) Coursera
L&T EduTech

Design of Transmission Line: Modelling and Performance (Coursera)

This course is designed to provide a detailed exploration of the critical elements involved in transmission lines' design, modeling, and performance assessment. By enrolling in this course, participants will not only gain theoretical knowledge but also practical skills that are directly applicable in the field of transmission line engineering. Whether you're a student aspiring to enter the industry or a professional seeking to deepen your expertise, this course offers a unique blend of theoretical insights and hands-on applications, equipping you with the tools to excel in this dynamic field.

Sep 7th 2026
3 Weeks
Introduction to the Internet of Things and Embedded Systems (Coursera) Coursera
University of California, Irvine

Introduction to the Internet of Things and Embedded Systems (Coursera)

The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet.

Aug 31st 2026
4 Weeks
Algorithmic Toolbox (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithmic Toolbox (Coursera)

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Aug 24th 2026
5-12 Weeks
Modeling Time Series and Sequential Data (Coursera) Coursera
SAS

Modeling Time Series and Sequential Data (Coursera)

In this course you learn to build, refine, extrapolate, and, in some cases, interpret models designed for a single, sequential series. There are three modeling approaches presented. The traditional, Box-Jenkins approach for modeling time series is covered in the first part of the course. This presentation moves students from models for stationary data, or ARMA, to models for trend and seasonality, ARIMA, and concludes with information about specifying transfer function components in an ARIMAX, or time series regression, model. A Bayesian approach to modeling time series is considered next.

Aug 31st 2026
5-12 Weeks
Customising your models with TensorFlow 2 (Coursera) Coursera
Imperial College London

Customising your models with TensorFlow 2 (Coursera)

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models.

Aug 31st 2026
5-12 Weeks
International Business Operations (Coursera) Coursera
University of Colorado Boulder

International Business Operations (Coursera)

This course provides learners with a solid foundation in international supply, logistics, and foreign currency exchange. Foreign exchange is included in this course since it plays such an important role in planning and executing international operations. The first half of the course reviews critical roles that supply chain management, sourcing, logistics, and transportation play in contemporary global business. In the second half, the focus shifts to foreign currency exchange risks and methods for mitigating those risks, both financial and non-financial.

Aug 31st 2026
5-12 Weeks