Search result for Materials science and engineering degree Online Courses & Certifications
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Semiconductor Physics
by Wounjhang Park- 4.4
Approx. 13 hours to complete
This course can also be taken for academic credit as ECEA 5630, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces basic concepts of quantum theory of solids and presents the theory describing the carrier behaviors in semiconductors. Materials and Physical Constants Materials and Physical Constants Materials and Physical Constants Materials and Physical Constants...
Electrodynamics: Analysis of Electric Fields
by Seungbum Hong- 4.8
Approx. 11 hours to complete
In addition, we will introduce polarization, dielectrics, and how electric fields create dipoles. Furthermore, this course uniquely provides the link between the knowledge of electrodynamics and its practical applications to research in materials science, information technology, electrical engineering, chemistry, chemical engineering, energy storage, energy harvesting, and other materials related fields. 2-2 Colloidal Particles and Grid Fields...
Diode - pn Junction and Metal Semiconductor Contact
by Wounjhang Park- 4.4
Approx. 15 hours to complete
This course can also be taken for academic credit as ECEA 5631, part of CU Boulder’s Master of Science in Electrical Engineering degree. You'll work through sophisticated analysis and application to electronic devices. Materials and Physical Constants Avalanche and Zener Breakdown Materials and Physical Constants Materials and Physical Constants Materials and Physical Constants...
Mechanical Behavior of Materials, Part 3: Time Dependent Behavior and Failure
by Lorna J. Gibson , Jessica Sandland- 0.0
6 Weeks
Explore materials from the atomic to the continuum level, and apply your learning to mechanics and engineering problems. This course is the third of three in a series of mechanics courses from the Department of Materials Science and Engineering at MIT. The relationship between the behavior of materials at an atomistic level and thecontinuum response of materials...
$49
LEARNING PATH: R: Advanced Deep Learning with R
by Packt Publishing- 3.3
6.5 hours on-demand video
He is also the PhD students' representative at the Department of Computer Science of Engineering (DISI) and teaching assistant of the courses “Machine Learning” and “Computer Architectures” in the same department. He has spent last the 12 years developing many data science solutions to solve problems from leading companies in the healthcare, manufacturing, pharmaceutical, and e-commerce domains....
$9.99
Displays
by Juliet Gopinath- 4.3
Approx. 8 hours to complete
This course can also be taken for academic credit as ECEA 5607, part of CU Boulder’s Master of Science in Electrical Engineering degree. The course will dive deep into electronic display devices, including liquid crystals, electroluminescent, plasma, organic light emitting diodes, and electrowetting based displays. Reference Values and Equations Reference Values and Equations...
Microstructural Evolution of Materials Part 1: Statistical Mechanics
by Juejun Hu , Jessica Sandland- 0.0
5 Weeks
Discover the principles of statistical mechanics that explain materials science phenomena. The course explains how materials develop different microstructure based on different processing techniques, and it relates these microstructures to the properties of the material. Microstructural Evolution of Materials is intended for engineering and science students and professionals with an interest in materials statistics, kinetics, and microstructural transformations....
$49
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Nanophotonics and Detectors
by Juliet Gopinath- 4.1
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. Nanophotonics and Detectors Introduction Intro to Nanophotonics and Detectors Intro to Quantum Cascade Lasers and Low-Dimensional Structures Reference Values and Equations Quantum Cascade Lasers and Low-Dimensional Structures Practice...
Battery Pack Balancing and Power Estimation
by Gregory Plett- 4.9
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. 5: Using simulation to compare and contrast different power-estimation methods...
First Order Optical System Design
by Amy Sullivan , Robert McLeod- 4.3
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. When you finish this course, you will be able to design, to first order, such optical systems with simple mathematical and graphical techniques. Tools and Resources Rays and Snell's Laws...