All current Electrical Engineering Courses courses in 2024
5 Courses
Stanford Seminar - The Future of Low Power Circuits and Embedded Intelligence
Explore the frontier of electrical engineering with Stanford University's Seminar on The Future of Low Power Circuits and Embedded Intelligence, now accessible through YouTube. Dive into a comprehensive course designed to illuminate the latest challenges and breakthroughs in the realm of low power circuits and embedded systems. Participants will en.
YouTube
Free Online Course
1 hour 10 minutes
On-Demand
Machine Learning for Semiconductor Quantum Devices
Discover the revolutionary link between Machine Learning and Semiconductor Quantum Devices with this comprehensive course from Delft University of Technology, available on edX. Quantum computing represents the cutting edge of technology, with semiconductor chips playing a crucial role in the development of quantum devices. This course tackles the m.
edX
Free Online Course (Audit)
6 weeks, 6-7 hours a week
On-Demand
Digital Protection of Power System
Title: Digital Protection of Power Systems Course
Description: Unlock the complexities of power system protection in the digital age with this introductory course, designed meticulously for postgraduate students across prestigious institutes like IITs, NITs, and various government and deemed universities. Immerse yourself in the core principles of.
Swayam
Free Online Course
8 weeks
21st Jan, 2024
Master of Science in Electrical Engineering
Embark on a journey to enhance your engineering prowess with the Master of Science in Electrical Engineering offered by the University of Colorado Boulder, brought to you through Coursera. This comprehensive degree program delves into the core aspects of Electrical Engineering, covering specialized categories such as Embedded Systems, Electrical En.
Coursera Degree
$20,010.00
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
This course aims to teach learners about neuromorphic chips and how they address the nanotransistor challenge. The learning outcomes include understanding the concept of neuromorphic computing, implementing dendritic computation with subthreshold analog, and compari.
