This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. 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
本課程是 Developing Industrial Internet of Things 專項課程 專項課程的一部分
Modeling and Debugging Embedded Systems
課程信息
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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.
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第 3 門課程（共 3 門）
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中級
完成時間大約為8 小時
建議：6 hours/week
英語（English）
字幕：英語（English）
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 3 小時
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.
20 個視頻 （總計 127 分鐘）, 2 個閱讀材料, 1 個測驗
20 個視頻
Segment 1 - SystemC 16分鐘
Segment 2 - SystemC 213分鐘
Segment 3 - SystemC: Example Baggage Handling System6分鐘
Segment 4 - Explanation of Rotary Shaft Encoders5分鐘
Segment 5 - Rotary Shaft Encoder use in Paper Cutters8分鐘
Segment 6 - SystemC Examples13分鐘
Segment 7 - Baggage Handling System Model Structure8分鐘
Segment 8 - Trimble - Introduction9分鐘
Segment 9 - Trimble - Machine Grade Control, Production Study5分鐘
Segment 10 - Trimble - Machine Types16分鐘
Segment 11 - Trimble - Excavator7分鐘
Segment 12 - Trimble - Communication Protocols9分鐘
Segment 13 - Trimble - Site Gateway2分鐘
Segment 14 - Trimble - Peer-to-Peer System2分鐘
Segment 15 Trimble - Predictive Analytics1分鐘
Segment 16 - Trimble - Security59
Segment 17 - Trimble - UAVs2分鐘
Segment 18 - Trimble - Augmented Reality2分鐘
Segment 19 - Trimble - Hololens4分鐘
2 個閱讀材料
Access to Course Resources10分鐘
A Note from the Instructor5分鐘
1 個練習
Module 1 Quiz12分鐘
週
2完成時間為 1 小時
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%.
16 個視頻 （總計 55 分鐘）, 1 個測驗
16 個視頻
Introduction2分鐘
Segment 1 Automotive 15分鐘
Segment 2 - Automotive 26分鐘
Segment 3 - Automotive 32分鐘
Segment 4 - Automotive 4 - Waze1分鐘
Segment 5 - Automotive 52分鐘
Segment 6 - Automotive 62分鐘
Segment 7 - Trucking7分鐘
Segment 8 - Trucking - Weigh in Motion53
Segment 9 - Logistics4分鐘
Segment 10 - Trains1分鐘
Segment 11 - Planes3分鐘
Segment 12 - Shipping2分鐘
Segment 13 - Smart Roads3分鐘
Segment 14 - Smart Parking5分鐘
Segment 15 - Summary3分鐘
1 個練習
Module 2 Quiz12分鐘
週
3完成時間為 2 小時
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.
13 個視頻 （總計 129 分鐘）, 1 個測驗
13 個視頻
Segment 1 - Debug 113分鐘
Segment 2 - Debug 29分鐘
Segment 3 - Log Pages10分鐘
Segment 4 - Debugging During Validation10分鐘
Segment 5 - The Importance of Trace2分鐘
Segment 6 - Lauterbach - Introduction10分鐘
Segment 7 - Lauterbach - JTAG11分鐘
Segment 8 - Lauterbach - Tracing10分鐘
Segment 9 - Lauterbach - Types of Trace Output + Viewing Traces23分鐘
Segment 10 - Lauterbach - Looking Back in Time10分鐘
Segment 11 - Lauterbach - Timing and Performance Analysis9分鐘
Segment 12 - Lauterbach - Code Coverage6分鐘
1 個練習
Module 3 Quiz12分鐘
週
4完成時間為 2 小時
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.
11 個視頻 （總計 77 分鐘）, 1 個閱讀材料, 1 個測驗
11 個視頻
Introduction1分鐘
Segment 1 - Promoting Technical Ideas - Patents19分鐘
Segment 2 - Promoting Technical Ideas within a Company4分鐘
Segment 3 - Learning from Failures4分鐘
Segment 4 - Learning from Failures - From My Past11分鐘
Segment 5 - Learning from Failures - Sparkfun5分鐘
Segment 6 - Learning from Failures - Kickstarter CST-01 Watch7分鐘
Segment 7 - Learning from Failures - Toyota9分鐘
Segment 8 - 20 Reasons Startups Fail8分鐘
Segment 9 - Assessing Business Risks2分鐘
Concluding Remarks29
1 個閱讀材料
List of IIoT Companies10分鐘
1 個練習
Module 4 Quiz12分鐘
講師
David Sluiter
Professor AdjunctElectrical, Computer, and Energy Engineering
立即開始攻讀碩士學位
此 課程 隸屬於 科罗拉多大学波德分校 提供的 100% 在線 Master of Science in Electrical Engineering。如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
關於 科罗拉多大学波德分校
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.
關於 Developing Industrial Internet of Things 專項課程
The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.
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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