This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. In this course students will learn : * 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 * How basic file systems operate, and types of file systems used to store big data * How machine learning algorithms work - a basic introduction * Why we want to study big data and how to prepare data for machine learning algorithms
Segment 12 - File System: NFS
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4.7 (93 évaluations)
- 5 stars77,41Â %
- 4 stars15,05Â %
- 3 stars4,30Â %
- 2 stars2,15Â %
- 1 star1,07Â %
DB
6 juil. 2020
Very well designed and delivered Course. Thank you for the opportunity. Special Thanks to Prof Dave Sluiter
AN
2 juin 2020
It was a good course to get a background and basic clearing while developing IIoT projects...
À partir de la leçon
Sensors and File Systems
In this module you will learn about sensors, and in this case, a temperature sensor. You will learn how to calibrate and then validate that a temperature sensor is producing accurate results. We will study how data is stored on hard drives and solid state drives. We will take a brief look at file systems used to store large data sets.
Enseigné par
David Sluiter
Professor Adjunct
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