Electrical Engineering Graduate Certificate offered by Stanford University
- Private University
- 8180 acre campus
- Estd. 1885
Electrical Engineering Graduate Certificate at Stanford University Overview
Duration | 12 months |
Start from | Start Now |
Total fee | ₹19.44 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Certificate |
Electrical Engineering Graduate Certificate at Stanford University Highlights
- Earn a graduate certificate of completion from Stanford University
- Learn from expert faculty
Electrical Engineering Graduate Certificate at Stanford University Course details
- For Those who are interested in computational imaging, computer graphics, machine learning, and human vision
- The fundamental concepts of electrical engineering
- How to use tools, programs, and simulation techniques to solve engineering challenges and large-scale problems
- Topics in the study of circuits, software and hardware systems, communications and networking, physical technology and science, and signal processing, control, and optimization
- The Stanford Electrical Engineering Graduate Program program provides you with a way to increase your knowledge and skills in electrical engineering either for career development or in preparation for graduate studies
- You have the flexibility to select classes that fit your interests, building upon and applying EE techniques to the basic sciences and as well as major societal challenges
Electrical Engineering Graduate Certificate at Stanford University Curriculum
Circuits
Fundamentals of Analog Integrated Circuit Design
Advanced Integrated Circuit Design
Principles and Models of Semiconductor Devices
Introduction to VLSI Systems
Design Projects in VLSI Systems I
Software and Hardware Systems
Artificial Intelligence: Principles and Techniques
Probabilistic Graphical Models: Principles and Techniques
Machine Learning
Computer Vision: From 3D Reconstruction to Recognition
Deep Learning for Computer Vision
Advanced Topics in Operating Systems
Program Analysis and Optimizations
Communications and Networking
Wireless Communications
Digital Communication
Information Theory
Physical Technology and Science
Integrated Circuit Fabrication Processes
Principles and Models of Semiconductor Devices
Biochips and Medical Imaging
Signal Processing, Control, and Optimization
Decision Making Under Uncertainty
The Fourier Transform and Its Applications
Introduction to Linear Dynamical Systems
Digital Signal Processing
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