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
Este curso forma parte de Programa Especializado - Developing Industrial Internet of Things
Modeling and Debugging Embedded Systems
ofrecido por
Programa - Qué aprenderás en este curso
Semana
13 horas para completar
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 videos (Total 127 minutos), 4 lecturas, 1 cuestionario
20 videos
Introduction48s
Segment 1 - SystemC 16m
Segment 2 - SystemC 213m
Segment 3 - SystemC: Example Baggage Handling System6m
Segment 4 - Explanation of Rotary Shaft Encoders5m
Segment 5 - Rotary Shaft Encoder use in Paper Cutters8m
Segment 6 - SystemC Examples13m
Segment 7 - Baggage Handling System Model Structure8m
Segment 8 - Trimble - Introduction9m
Segment 9 - Trimble - Machine Grade Control, Production Study5m
Segment 10 - Trimble - Machine Types16m
Segment 11 - Trimble - Excavator7m
Segment 12 - Trimble - Communication Protocols9m
Segment 13 - Trimble - Site Gateway2m
Segment 14 - Trimble - Peer-to-Peer System2m
Segment 15 Trimble - Predictive Analytics1m
Segment 16 - Trimble - Security59s
Segment 17 - Trimble - UAVs2m
Segment 18 - Trimble - Augmented Reality2m
Segment 19 - Trimble - Hololens4m
4 lecturas
A Note from the Instructor5m
Access to Course Lecture Slides10m
Access to SystemC Example Code10m
Access to Trimble Presentation Slides10m
1 ejercicio de práctica
Quiz 130m
Semana
21 hora para completar
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 videos (Total 58 minutos), 1 lectura, 1 cuestionario
17 videos
Segment 1 Automotive 15m
Segment 2 - Automotive 26m
Segment 3 - Automotive 32m
Segment 4 - Automotive 4 - Waze1m
Segment 5 - Automotive 52m
Segment 6 - Automotive 62m
Segment 7 - Trucking7m
Segment 8 - Trucking - Weigh in Motion53s
Segment 9 - Logistics4m
Segment 10 - Trains1m
Segment 11 - Planes 13m
Segment 12 - Planes 23m
Segment 13 - Shipping2m
Segment 14 - Smart Roads3m
Segment 15 - Smart Parking5m
Segment 16 - Summary3m
1 lectura
Access to Automotive and Transportation Slides10m
1 ejercicio de práctica
Quiz 212m
Semana
33 horas para completar
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 videos (Total 139 minutos), 1 lectura, 1 cuestionario
14 videos
Introduction38s
Segment 1 - Debug 113m
Segment 2 - Debug 29m
Segment 3 - Debug 39m
Segment 4 - Log Pages10m
Segment 5 - Debugging During Validation10m
Segment 6 - The Importance of Trace2m
Segment 7 - Lauterbach - Introduction10m
Segment 8 - Lauterbach - JTAG11m
Segment 9 - Lauterbach - Tracing10m
Segment 10 - Lauterbach - Types of Trace Output + Viewing Traces23m
Segment 11 - Lauterbach - Looking Back in Time10m
Segment 12 - Lauterbach - Timing and Performance Analysis9m
Segment 13 - Lauterbach - Code Coverage6m
1 lectura
Access to Lauterbach Slides10m
1 ejercicio de práctica
Quiz 330m
Semana
42 horas para completar
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 videos (Total 77 minutos), 2 lecturas, 1 cuestionario
11 videos
Segment 1 - Promoting Technical Ideas - Patents19m
Segment 2 - Promoting Technical Ideas within a Company4m
Segment 3 - Learning from Failures4m
Segment 4 - Learning from Failures - From My Past11m
Segment 5 - Learning from Failures - Sparkfun5m
Segment 6 - Learning from Failures - Kickstarter CST-01 Watch7m
Segment 7 - Learning from Failures - Toyota9m
Segment 8 - 20 Reasons Startups Fail8m
Segment 9 - Assessing Business Risks2m
Concluding Remarks29s
2 lecturas
List of IIoT Companies10m
Access to Top 20 Reasons Why Startups Fail10m
1 ejercicio de práctica
Quiz 430m
Instructor
David Sluiter
Professor AdjunctElectrical, Computer, and Energy Engineering
Comienza a trabajar para obtener tu maestría
Este curso es parte del Master of Science in Electrical Engineering completamente en línea de Universidad de Colorado en Boulder.
Si eres aceptado en el programa completo, tus cursos cuentan para tu título.
Acerca de Universidad de Colorado en 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.
Acerca de Programa especializado 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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
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¿Qué recibiré si me suscribo a este Programa especializado?
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