Search result for Master of science in electrical engineering and computer science Online Courses & Certifications
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Design of High-Performance Optical Systems
by Robert McLeod , Amy Sullivan- 4.7
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Approx. 23 hours to complete
This course can also be taken for academic credit as ECEA 5602, part of CU Boulder’s Master of Science in Electrical Engineering degree. We begin with a description of how different wavelengths propagate through systems, then move on to aberrations that appear with high angle, non-paraxial systems and how to correct for those problems....
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. Big Data in Biology and Data Integration...
Equivalent Circuit Cell Model Simulation
by Gregory Plett- 4.7
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Approx. 27 hours to complete
This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree. 6: Summary of "Identifying parameters of static model" and next steps 9: Summary of "Identifying parameters of dynamic model" and next steps 6: Summary of "Simulating battery packs in different configurations" and next steps...
Nanotechnology and Nanosensors, Part1
by Prof. Hossam Haick- 4.6
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Approx. 12 hours to complete
student at the Faculty of Education in Science and Technology at the Technion, under the supervision of Asst. She received a second master degree in Educatu in Science and Technology from the Technion in 2013. candidate at the Faculty of Education in Science and Technology at the Technion, under the supervision of Asst....
Deploying TinyML
by Vijay Janapa Reddi , Pete Warden- 0.0
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5 Weeks
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. A one-of-a-kind course, Deploying TinyML is a mix of computer science and electrical engineering. Tiny Machine Learning (TinyML) is one of the fastest-growing areas of deep learning and is rapidly becoming more accessible....
$199
Magnetics for Power Electronic Converters
by Dr. Robert Erickson- 4.8
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Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5703, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course covers the analysis and design of magnetic components, including inductors and transformers, used in power electronic converters. Modeling of losses in magnetic components covers core and winding losses, including skin and proximity effects....
Real-Time Project for Embedded Systems
by Sam Siewert- 0.0
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Approx. 49 hours to complete
This course can also be taken for academic credit as ECEA 5318, part of CU Boulder’s Master of Science in Electrical Engineering degree. ● Outcome 2: Analyze services in terms of C (execution time), T (request period), and D (deadlines for completion) to establish feasibility and margin for meeting requirements Completion of RTES Project and Preliminary Functional Testing...
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Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
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15 Weeks
You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities....
$300
Nanotechnology and Nanosensors, Part 2
by Prof. Hossam Haick- 4.8
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Approx. 17 hours to complete
student at the Faculty of Education in Science and Technology at the Technion, under the supervision of Asst. She received a second master degree in Educatu in Science and Technology from the Technion in 2013. candidate at the Faculty of Education in Science and Technology at the Technion, under the supervision of Asst....
Converter Circuits
by Dr. Robert Erickson- 4.8
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Approx. 19 hours to complete
This course can also be taken for academic credit as ECEA 5701, part of CU Boulder’s Master of Science in Electrical Engineering degree. ● Understand the origins of the discontinuous conduction mode and be able to solve converters operating in DCM ● Understand how to implement transformer isolation in a dc-dc converter, including the popular forward and flyback converter topologies...
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