Search result for Master of science in computer engineering Online Courses & Certifications
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Learning Path: Unreal Engine: Master Game Development
by Packt Publishing- 4.2
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10 hours on-demand video
Alireza Tavakkoli is an Associate Professor of Computer Science at the University of Houston-Victoria. During his tenure at the university, he has taught graduate and undergraduate courses in Computer Science and Gaming, including Advanced Level Design, Game Engines Programming, Gaming Network Architecture, Artificial Intelligence, Parallel Computing, and Theory of Computation....
$12.99
Nanophotonics and Detectors
by Juliet Gopinath- 4.1
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Approx. 15 hours to complete
This course can also be taken for academic credit as ECEA 5606, part of CU Boulder’s Master of Science in Electrical Engineering degree. Weekly homework problem sets will challenge you to apply the principles of analysis and design we cover in preparation for real-world problems. Density of States in Low Dimensional Structures...
Battery Pack Balancing and Power Estimation
by Gregory Plett- 4.9
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Approx. 23 hours to complete
This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to:...
Supply Chains for Manufacturing: Inventory Analytics
by Stephen Graves , Sean Willems- 0.0
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9 Weeks
Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization. Learners who pass the 8 courses in the program earn the MicroMasters Credential and qualify to apply to gain credit for MIT’s Master of Engineering in Advanced Manufacturing & Design program....
$175
First Order Optical System Design
by Amy Sullivan , Robert McLeod- 4.3
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Approx. 21 hours to complete
This course can also be taken for academic credit as ECEA 5600, part of CU Boulder’s Master of Science in Electrical Engineering degree. Rays in OpticStudio Snell's Laws in the Laboratory Optical System Design in OpticStudio Getting started with designing a lens in OpticStudio Setting up your lens in OpticStudio Analyze the performance of your lens...
Battery State-of-Health (SOH) Estimation
by Gregory Plett- 4.8
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Approx. 23 hours to complete
This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. 6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR) 7: Sensitivity of cell voltage to changes in cell total capacity 7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?...
Hardware Description Languages for FPGA Design
by Timothy Scherr , Benjamin Spriggs- 4.3
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Approx. 36 hours to complete
This course can also be taken for academic credit as ECEA 5361, part of CU Boulder’s Master of Science in Electrical Engineering degree. VHDL in ModelSim: Download and Install VHDL in ModelSim: Adding to your Toolkit Modular Designs: Components, Generate and Loops in VHDL Test Benches in VHDL: Combinatorial Test Benches in VHDL: Synchronous...
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Converter Control
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 5702, part of CU Boulder’s Master of Science in Electrical Engineering degree. The equivalent circuit models derived in the previous courses are extended to model small-signal ac variations. 2 Discussion of Averaging 6-8 Construction of Equivalent Circuit 1 Review of Bode Diagrams: Pole...
Digital Signal Processing 1: Basic Concepts and Algorithms
by Paolo Prandoni , Martin Vetterli- 4.6
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Approx. 29 hours to complete
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. In this series of four courses, you will learn the fundamentals of Digital Signal Processing from the ground up. d DFT example - tide prediction in Venice...
Digital Signal Processing 2: Filtering
by Paolo Prandoni , Martin Vetterli- 4.7
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Approx. 18 hours to complete
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. a Filter classification in the time domain b Examples of frequency response a Implementation of digital filters Signal of the Day: Image Resolution and Space Exploration...
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