Search result for Master of science in chemical engineering 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. This will allow students to analyze systems that are too complicated for the simple analysis thus far introduced in this set of courses. Resolving Power of Grating Resolving Power of Grating vs....
Introduction to Power Electronics
by Dr. Robert Erickson- 4.7
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Approx. 12 hours to complete
This course can also be taken for academic credit as ECEA 5700, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the basic concepts of switched-mode converter circuits for controlling and converting electrical power with high efficiency. Applications and Examples of Power Electronics 4 Simulation of a Buck Converter using LTspice...
Machine Learning with Python: Data Science for Beginners
by TELCOMA Global 68,000+ Students!- 3.8
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11 hours on-demand video
Data Science / Machine Learning is the most in-demand and Highest Paying job of 2017 Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine Learning is the most in-demand and Highest Paying job of 2017 and the same trend will follow for the coming years....
$11.99
Industrial IoT Markets and Security
by David Sluiter- 4.7
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Approx. 22 hours to complete
This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space....
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. Defining an equivalent-circuit model of a Li-ion cell 5: Introducing Octave code to determine static part of ECM 6: Summary of "Simulating battery packs in different configurations" and next steps...
AWS SageMaker Practical for Beginners | Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.6
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14.5 hours on-demand video
In this course, students will be able to master many topics in a practical way such as: (1) Data Engineering and Feature Engineering, (2) AI/ML Models selection, (3) Appropriate AWS SageMaker Algorithm selection to solve business problem, (4) AI/ML models building, training, and deployment, (5) Model optimization and Hyper-parameters tuning. Here’s a list of who is this course for:...
$12.99
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....
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Effective Sales – An Overview
by Nelson Yoshida , Edson Ito , Cesar Rodrigues , Samantha Mazzero- 4.5
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Approx. 21 hours to complete
Concepts discussed in this specialization aim to support the analyses on how to plan sales in alignment with the strategic guidelines of the company. Video 2 - More science than art: Sales in focus Practice quiz: Change in relationship between companies - Why it matters Practice quiz: Customer relationship: Implications of Customer centered sales...
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 Simple Frame Capture of 1800 Frames in One Process...
Python & Machine Learning for Financial Analysis
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
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23 hours on-demand video
Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors. Master feature engineering and data cleaning strategies for machine learning and data science applications....
$17.99
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