Search result for Master of science in optical engineering Online Courses & Certifications
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Effective Sales – An Overview
by Nelson Yoshida , Edson Ito , Cesar Rodrigues , Samantha Mazzero- 4.5
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...
Master MATLAB through Guided Problem Solving
by Tim Buchalka's Learn Programming Academy- 4.7
38 hours on-demand video
This course is different from other MATLAB programming courses! Rather than having short videos that presents a simple piece of MATLAB syntax, this course starts from the real-world perspective: Problems in data science that you can solve with MATLAB. There is no doubt that MATLAB is the premier programming language of scientific computing and data science in university, research, and industry....
$16.99
Current-Mode Control
by Dr. Dragan Maksimovic- 0.0
Approx. 14 hours to complete
This course can also be taken for academic credit as ECEA 5708, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #4 in the Modeling and Control of Power Electronics course sequence. The course is focused on current-mode control techniques, which are very frequently applied in practical realizations of switched-mode....
Averaged-Switch Modeling and Simulation
by Dr. Dragan Maksimovic- 4.7
Approx. 16 hours to complete
This course can also be taken for academic credit as ECEA 5705, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #1 in the Modeling and Control of Power Electronics course sequence. ● Explain operation and modeling of switched-mode power converters Practice Problem: Output Impedance of Converters in DCM...
Data Science & Real World Computing with Jupyter Notebook
by Packt Publishing- 3.6
8.5 hours on-demand video
If you are familiar with Jupyter Notebook and want to learn how to use its capabilities to perform various data science tasks, this video course is for you! From data exploration to visualization, this course will take you every step of the way in implementing an effective data science pipeline using Jupyter....
$9.99
Politics and Economics of International Energy
by Giacomo Luciani- 4.7
Approx. 30 hours to complete
It also aims at providing students, who already have a technical background in energy science or engineering, with the broad global view of energy issues that will allow them to better understand the social, economic and political impact of their technical knowledge. The role of gas in the transition Geopolitics of gas in the Far East...
Introduction to FPGA Design for Embedded Systems
by Timothy Scherr- 4.6
Approx. 18 hours to complete
This course can also be taken for academic credit as ECEA 5360, part of CU Boulder’s Master of Science in Electrical Engineering degree. If you are thinking of a career in Electronics Design or an engineer looking at a career change, this is a great course to enhance your career opportunities....
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C Programming Made easy for Beginners -Step by Step Approach
by Himayatullah Sharief- 4.3
23 hours on-demand video
Learning C programming will not only make you learn one of the most powerful Programming Languages of all time, but also gives a strong base for developing Problem solving Skills in the field of computer science and Engineering. · Programmers of other languages who want a fast way into C...
$12.99
Real-Time Embedded Systems Theory and Analysis
by Sam Siewert- 0.0
Approx. 60 hours to complete
This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree. Read, Review and Understand Derivations in Original RMA Paper (Liu & Layland) Module 1 | Key steps in the RM least upper bound derivation Service Design Feasibility Analysis Practice and Methods of Implementation...
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
Approx. 54 hours to complete
At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. - Gain experience of analysing and interpreting the data. - Master the art of combining different machine learning models and learn how to ensemble....