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 Transoprtion 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
Ce cours fait partie de la Spécialisation Developing Industrial Internet of Things
Modeling and Debugging Embedded Systems
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À propos de ce cours
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Ce que vous allez apprendre
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.
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
13 heures pour terminer
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.
20 vidéos (Total 127 min), 4 lectures, 1 quiz
20 vidéos
Introduction48s
Segment 1 - SystemC 16 min
Segment 2 - SystemC 213 min
Segment 3 - SystemC: Example Baggage Handling System6 min
Segment 4 - Explanation of Rotary Shaft Encoders5 min
Segment 5 - Rotary Shaft Encoder use in Paper Cutters8 min
Segment 6 - SystemC Examples13 min
Segment 7 - Baggage Handling System Model Structure8 min
Segment 8 - Trimble - Introduction9 min
Segment 9 - Trimble - Machine Grade Control, Production Study5 min
Segment 10 - Trimble - Machine Types16 min
Segment 11 - Trimble - Excavator7 min
Segment 12 - Trimble - Communication Protocols9 min
Segment 13 - Trimble - Site Gateway2 min
Segment 14 - Trimble - Peer-to-Peer System2 min
Segment 15 Trimble - Predictive Analytics1 min
Segment 16 - Trimble - Security59s
Segment 17 - Trimble - UAVs2 min
Segment 18 - Trimble - Augmented Reality2 min
Segment 19 - Trimble - Hololens4 min
4 lectures
A Note from the Instructor5 min
Access to Course Lecture Slides10 min
Access to SystemC Example Code10 min
Access to Trimble Presentation Slides10 min
1 exercice pour s'entraîner
Quiz 130 min
Semaine
21 heure pour terminer
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%.
17 vidéos (Total 58 min), 1 lecture, 1 quiz
17 vidéos
Introduction2 min
Segment 1 Automotive 15 min
Segment 2 - Automotive 26 min
Segment 3 - Automotive 32 min
Segment 4 - Automotive 4 - Waze1 min
Segment 5 - Automotive 52 min
Segment 6 - Automotive 62 min
Segment 7 - Trucking7 min
Segment 8 - Trucking - Weigh in Motion53s
Segment 9 - Logistics4 min
Segment 10 - Trains1 min
Segment 11 - Planes 13 min
Segment 12 - Planes 23 min
Segment 13 - Shipping2 min
Segment 14 - Smart Roads3 min
Segment 15 - Smart Parking5 min
Segment 16 - Summary3 min
1 lecture
Access to Automotive and Transportation Slides10 min
1 exercice pour s'entraîner
Quiz 212 min
Semaine
33 heures pour terminer
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.
14 vidéos (Total 139 min), 1 lecture, 1 quiz
14 vidéos
Introduction38s
Segment 1 - Debug 113 min
Segment 2 - Debug 29 min
Segment 3 - Debug 39 min
Segment 4 - Log Pages10 min
Segment 5 - Debugging During Validation10 min
Segment 6 - The Importance of Trace2 min
Segment 7 - Lauterbach - Introduction10 min
Segment 8 - Lauterbach - JTAG11 min
Segment 9 - Lauterbach - Tracing10 min
Segment 10 - Lauterbach - Types of Trace Output + Viewing Traces23 min
Segment 11 - Lauterbach - Looking Back in Time10 min
Segment 12 - Lauterbach - Timing and Performance Analysis9 min
Segment 13 - Lauterbach - Code Coverage6 min
1 lecture
Access to Lauterbach Slides10 min
1 exercice pour s'entraîner
Quiz 330 min
Semaine
42 heures pour terminer
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 failures.
11 vidéos (Total 77 min), 2 lectures, 1 quiz
11 vidéos
Introduction1 min
Segment 1 - Promoting Technical Ideas - Patents19 min
Segment 2 - Promoting Technical Ideas within a Company4 min
Segment 3 - Learning from Failures4 min
Segment 4 - Learning from Failures - From My Past11 min
Segment 5 - Learning from Failures - Sparkfun5 min
Segment 6 - Learning from Failures - Kickstarter CST-01 Watch7 min
Segment 7 - Learning from Failures - Toyota9 min
Segment 8 - 20 Reasons Startups Fail8 min
Segment 9 - Assessing Business Risks2 min
Concluding Remarks29s
2 lectures
List of IIoT Companies10 min
Access to Top 20 Reasons Why Startups Fail10 min
1 exercice pour s'entraîner
Quiz 430 min
Enseignant
David Sluiter
Professor AdjunctElectrical, Computer, and Energy Engineering
Commencez à travailler pour obtenir votre master
Ce cours fait partie du diplôme intégralement en ligne Master of Science in Electrical Engineering de Université du Colorado à Boulder.
Si vous êtes admis au programme complet, vos cours sont pris en compte dans votre apprentissage diplômant.
À propos de Université du Colorado à Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
À propos du Spécialisation Developing Industrial Internet of Things
In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.
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À quoi ai-je droit si je m'abonne à cette Spécialisation ?
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