Search result for Phd in electrical and computer engineering Online Courses & Certifications
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Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University....
Fatigue Failure in Different Fields of Engineering
by Kazem Reza Kashyzadeh- 0.0
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Approx. 23 hours to complete
In recent years, owing to global competition and greater need of customers for safety, durability, and reliability of products, there has been a considerable tendency to improve quality in various industries. Introduction to Fatigue Failures in Different Fields of Engineering Real examples of fatigue failure in various industries, including Mechanical engineering...
Urban Transit for Livable Cities
by Vukan Vuchic- 0.0
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8 Weeks
Learners interested in transportation engineering and city planning will gain expert insight into the critical role transit services have on the character of the city and quality of life. It’s also well-suited for graduate and advanced undergraduate students of transportation, civil, environmental, mechanical, electrical and systems engineering, business administration, economics, and architecture....
$49
Linear Algebra for Beginners: Open Doors to Great Careers
by Richard Han- 4.3
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7 hours on-demand video
Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more! You intend to pursue a masters degree or PhD, and linear algebra is a required or recommended subject. Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside....
$13.99
Discrete Mathematics: Open Doors to Great Careers
by Richard Han- 4.5
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4.5 hours on-demand video
Learn the core topics of Discrete Math to open doors to Computer Science, Data Science, Actuarial Science, and more! You intend to pursue a masters degree or PhD, and discrete mathematics is a required or recommended subject. Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside....
$11.99
Solid State Devices 1
by Gerhard Klimeck- 0.0
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16 Weeks
The material will primarily appeal to electrical engineering students whose interests are in applications of semiconductor devices in circuits and systems. The course presents an electrical engineering perspective on semiconductors, but those in other fields may find it a useful introduction to the approach that has guided the development of semiconductor technology for the past 50+ years....
$2250
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Electronics Engineering Technology Fundamentals-Updated-2020
by Dr. Oscar Rodriguez, DET- 4.2
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3 hours on-demand video
Electronics circuits including: Direct current (DC), alternating current (AC), digital circuits (DigC), and solid state. This course introduces fundamental principles and concepts in electrical and electronics engineering technology including Safety , Direct Current (DC), Alternating Current (AC), Digital, and Solid state electronic circuits. Now includes circuit design and computer simulation demos....
$12.99
Start & Grow Your Career in Machine Learning/Data Science
by Class Creatives- 4.9
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1.5 hours on-demand video
Tips on Full-Time/Intern Interview Prep| Deep Learning, Artificial Intelligence, Computer Vision, Science, Engineering Welcome, and thanks for choosing How to Start & Grow Your Career in Machine Learning/Data Science! She got her BS, MS, and PhD degrees in Electrical Engineering at The University of Texas at Austin, and her interests lie in Computer Vision and Machine Learning....
$9.99
LEARNING PATH: R: Advanced Deep Learning with R
by Packt Publishing- 3.3
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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. Prakash has a PhD in Industrial and System Engineering from Wisconsin-Madison, U. He gained his second PhD in Engineering at the University of Warwick, UK....
$9.99
