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100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

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初級

英語(English)

字幕:英語(English)

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

英語(English)

字幕:英語(English)

專項課程的運作方式

加入課程

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實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 9 門課程

課程1

Digital Manufacturing & Design

4.6
655 個評分
152 個審閱
課程2

Digital Thread: Components

4.5
243 個評分
36 個審閱
課程3

Digital Thread: Implementation

4.6
160 個評分
31 個審閱
課程4

Advanced Manufacturing Process Analysis

4.3
206 個評分
48 個審閱

講師

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Amy Moore

Project Manager & Act-Authorized Job Profiler
University at Buffalo: The Center for Industrial Effectiveness (TCIE)
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Ken English

Deputy Director
Sustainable Manufacturing and Advanced Robotic Technologies Community of Excellence
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Sara Behdad

Assistant Professor
Mechanical and Aerospace Engineering, Industrial and Systems Engineering
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Shambhu Upadhyaya

Professor
Computer Science and Engineering
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Rahul Rai

Associate Professor
Mechanical and Aerospace Engineering

行業合作夥伴

Industry Partner Logo #0

關於 纽约州立大学布法罗分校

The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs....

關於 纽约州立大学纽约州立大学

The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe....

常見問題

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • Time to completion can vary based on your schedule, but learners can expect to complete the Specialization in 7 to 10 months.

  • There is no background knowledge, in particular, that is necessary to take this course. We recommend at least a high school education and interest in how an idea becomes a prototype, a prototype becomes a product, and a product becomes a consumable.

  • We strongly urge you begin by taking the following three courses first, in this order: Digital Manufacturing & Design, Digital Thread: Components, and Digital Thread: Implementation. The MBSE: Model-Based Systems Engineering course should be taken at the very end. Everything in between may be taken in any order desired.

  • No.

  • Upon Specialization completion, you will have determined your skill levels in relation to the digital manufacturing and design industry, identified a future manufacturing career path that you are interested in pursuing, and examined the community in which you live to recognize and embark on the opportunities that exist. Additionally, you will gain the confidence to have intelligent, fact-based dialogues, either in informal or professional conversations, about:

    · How advances in technology are shaping the "factory of the future" in a new phase of industrial revolution popularly referred to as "Industry 4.0," which encompasses the Internet of Things (IoT). The fusion of technologies resulting in IoT will make our lives more exciting, intelligent, interactive and innovative than ever before!

    · Social factors like the US-China trade imbalance and accelerated technology obsolescence that are driving the need for disruptive innovation in the manufacturing world.

    · The world of the "Digital Thread," where design of a new product and its manufacturing can occur simultaneously (instead of in sequence), resulting in significantly faster product launches, superior quality and competitive prices.

    · The unimaginably large amount of data that the next generation of manufacturing will handle, and how "super computers" and "high power computing" will be able to transform it into actionable information with ease, speed and accuracy.

    · How robots are used to make rapid and reliable decisions, consequently making the production shop floor into an "Intelligent Machining" environment.

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