Search result for Master of science in embedded systems Online Courses & Certifications
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Rapid Prototyping of Embedded Interface Designs
by Bruce Montgomery, PhD, PMP- 0.0
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Approx. 10 hours to complete
This course can also be taken for academic credit as ECEA 5347, part of CU Boulder’s Master of Science in Electrical Engineering degree. Rapid Prototyping is the second of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design....
Modeling and Debugging Embedded Systems
by David Sluiter- 4.6
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Approx. 8 hours to complete
This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. * About Trimble Engineering's embedded systems for heavy equipment automation * A deeper understanding of embedded systems in the Automotive and Transportation market segment A deeper understanding of embedded systems in the Automotive and Transoprtion market segment....
UX and Interface Design for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
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Approx. 12 hours to complete
This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree. UX and Interface Design for Embedded Systems is the first of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design....
M2M & IoT Interface Design & Protocols for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
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Approx. 9 hours to complete
This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. M2M and IoT Interface Design and Protocols is the third of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design....
Real-Time Embedded Systems Concepts and Practices
by Sam Siewert- 0.0
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Approx. 51 hours to complete
This course can also be taken for academic credit as ECEA 5315, part of CU Boulder’s Master of Science in Electrical Engineering degree. Course Description: In this course, students will design and build a microprocessor-based embedded system application using a real-time operating system or RT POSIX extensions with Embedded Linux. Introduction to Scheduling Theory for Real-Time Systems...
Real-Time Mission-Critical Systems Design
by Sam Siewert- 0.0
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Approx. 50 hours to complete
This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree. Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable)....
Real-Time Bluetooth Networks - Shape the World
by Jonathan Valvano , Ramesh Yerraballi- 0.0
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7 Weeks
In this lab-based computer science course, explore the complexities of embedded systems and learn how to develop your own real-time operating system (RTOS) by building a personal fitness device with Bluetooth connectivity (BLE). In this computer science course, students will learn the design fundamentals of an RTOS from the bottom up and use these fundamentals to build practical real-time applications....
$49
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Let Us PIC: A Datasheet Approach for PIC Microcontroller
by SWADESHEE Parinati- 4.2
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7.5 hours on-demand video
This course is the outcome of the experience we gained after training hundreds of graduate students of engineering and technology, and with our expertise in the field of embedded systems. Swadeshee Parinatie invites you all to enroll in this course and explore the world of embedded systems as a step towards excellence....
$12.99
Fundamentals of TinyML
by Vijay Janapa Reddi , Laurence Moroney- 0.0
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5 Weeks
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. Fundamentals of TinyML provides an introduction to TinyML and is not a prerequisite for Applications of TinyML or Deploying TinyML for those with sufficient machine learning and embedded systems experience....
$199
Quantitative Formal Modeling and Worst-Case Performance Analysis
by Dr.ir. Pieter Cuijpers , Anne Remke- 0.0
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Approx. 17 hours to complete
This course is part of the university course on Quantitative Evaluation of Embedded Systems (QEES) as given in the Embedded Systems master curriculum of the EIT-Digital university, and of the Dutch 3TU consortium consisting of TU/e (Eindhoven), TUD (Delft) and UT (Twente). Refinement of consumption/production systems Proof that the number of tokens in a single-rate dataflow cycle is constant...
