課程信息

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可分享的證書
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100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為17 小時
英語(English)
字幕:英語(English)

您將學到的內容有

  • How to staff, plan and execute a project.

  • How to build a bill of materials for a product.

  • How to calibrate sensors and validate sensor measurements.

  • How hard drives and solid state drives operate.

可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為17 小時
英語(English)
字幕:英語(English)

提供方

科罗拉多大学波德分校 徽標

科罗拉多大学波德分校

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。

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 10 小時

Project Planning and Staffing

完成時間為 10 小時
12 個視頻 (總計 112 分鐘), 2 個閱讀材料, 2 個測驗
12 個視頻
Segment 1 - Learning Outcomes, Introduction to a Design Process12分鐘
Segment 2 - Requirements, Scope, Schedule, Resources, Heap Chart15分鐘
Segment 3 - Roles and Responsibilities6分鐘
Segment 4 - Process: Architecture Definition, Design Planning13分鐘
Segment 5 - Process: Architecture Definition, Design Planning 218分鐘
Segment 6 - Process: Develop9分鐘
Segment 7 - Process: Verification11分鐘
Segment 8 - Process: Manufacture2分鐘
Segment 9 - Process: Deploy10分鐘
Segment 10 - Process: Validation6分鐘
Segment 11 - Temperature5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 Quiz10分鐘
2

2

完成時間為 2 小時

Sensors and File Systems

完成時間為 2 小時
16 個視頻 (總計 103 分鐘)
16 個視頻
Segment 1 - Learning Outcomes, Introduction to Thermistors3分鐘
Segment 2 - Terminology: Resolution, Precision, Accuracy, Tolerance6分鐘
Segment 3 - Basic Sensor Circuit5分鐘
Segment 4 - Accuracy Example2分鐘
Segment 5 - Calculating Rtherm2分鐘
Segment 6 - Validating Calibration5分鐘
Segment 7 - Filtering Techniques11分鐘
Segment 8 - Block, Object and Key-Value Storage Devices15分鐘
Segment 9 - Filesystem Basics3分鐘
Segment 10 - A File on a Hard Drive5分鐘
Segment 11 - A File on a Solid State Drive8分鐘
Segment 12 - File System: NFS4分鐘
Segment 13 - How Big is "Big"?8分鐘
Segment 14 - Traditional File System Bottlenecks3分鐘
Segment 15 - Parallel Distributed File Systems: Hadoop, Lustre13分鐘
1 個練習
Module 2 Quiz18分鐘
3

3

完成時間為 3 小時

Machine Learning

完成時間為 3 小時
22 個視頻 (總計 132 分鐘)
22 個視頻
Segment 1 - Learning Outcomes1分鐘
Segment 2 - AI Backgrounder6分鐘
Segment 3 - Machine Learning, What is it?6分鐘
Segment 4 - Machine Learning Schools of Thought9分鐘
Segment 5 - Get the Tools3分鐘
Segment 6 - Categories of Machine Learning5分鐘
Segment 7 - Supervised Learning, Linear Regression 17分鐘
Segment 8 - Supervised Learning, Linear Regression 29分鐘
Segment 9 - Supervised Learning, Linear Regression 38分鐘
Segment 10 - Supervised Learning, Linear Regression 49分鐘
Segment 11 - Supervised Learning, Bayes Theorem4分鐘
Segment 12 - Supervised Learning, Naive Bayes9分鐘
Segment 13 - Supervised Learning, Support Vector Machines (SVM) Introduction55
Segment 14 - Supervised Learning, SVMs12分鐘
Segment 15 - Unsupervised Learning, K-Means11分鐘
Segment 16 - Reinforcement Learning46
Segment 17 - Supervised Learning, Deep Learning2分鐘
Segment 18 - Rick Rashid, Natural Language Processing8分鐘
Segment 19 - Deep Learning, Hearing Aid2分鐘
Segment 20 - Machine Learning in IIoT4分鐘
Segment 21 - Machine Learning Summary4分鐘
1 個練習
Module 3 Quiz22分鐘
4

4

完成時間為 2 小時

Big Data Analytics

完成時間為 2 小時
19 個視頻 (總計 119 分鐘)
19 個視頻
Segment 1 - Learning Outcomes, Definition of Big Data3分鐘
Segment 2 - Importance of Big Data, Characteristics of Big Data4分鐘
Segment 3 - Size of Big Data4分鐘
Segment 4 - Introduction to Predictive Analytics2分鐘
Segment 5 - Role of Statistics and Data Mining3分鐘
Segment 6 - Machine Learning, Generalization and Discrimination7分鐘
Segment 7 - Frameworks, Testing and Validating5分鐘
Segment 8 - Bias and Variance in your Data3分鐘
Segment 9 - Out-of-sample Data and Learning Curves5分鐘
Segment 10 - Cross Validation5分鐘
Segment 11 - Model Complexity, Over- and Under-fitting3分鐘
Segment 12 - Processing Your Data Prior to Machine Learning8分鐘
Segment 13 - Good Data, Smart Data6分鐘
Segment 14 - Visualizing Your Data1分鐘
Segment 15 - Principal Component Analysis (PCA)2分鐘
Segment 16 - Prognostic Health Management, Hadoop Machine Learning Library11分鐘
Segment 17 - My Example: Predicting NFL Football Winners18分鐘
Segment 18 - Tom Bradicich, Hewlett Packard's Viewpoint on Big Data20分鐘
1 個練習
Module 4 Quiz26分鐘

審閱

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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....
Developing Industrial Internet of Things

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