Analog Computing Fundamentals
Analog Computing Fundamentals
What You'll Learn
- Understand fundamental principles of analog computing
- Work with operational amplifiers and analog circuits
- Design and build analog computers using op-amps
- Solve differential equations using analog computers
- Understand function generation and signal processing
- Apply analog computing to real-world engineering problems
- Interface analog and digital systems
- Build practical analog computing projects
Course Content
Course Preview Video
Course Requirements
Basic understanding of electronics and mathematics is recommended.
- Level: Intermediate
- Delivery: Online / Self-paced
- Prerequisites: Basic electronics and mathematics knowledge
- Certificate: Certificate of Completion upon successful completion
Frequently Asked Questions
Do I need electronics experience for this course?
A basic understanding of electronics and mathematics is recommended. We cover the theory and practical applications in detail.
What analog computing topics are covered?
The course covers analog computing fundamentals, operational amplifiers, mathematical operations, function generators, differential equation solving, and real-world applications.
Will I build analog computing circuits?
Yes, you will build hands-on projects including op-amp circuits, function generators, and a final analog computer project.
How long is the course access?
You receive lifetime access to all course materials, including future updates and new analog computing techniques as they emerge.
Will I receive a certificate?
Yes, you will receive a Certificate of Completion after successfully completing the final project and assessments.
Is analog computing still relevant?
Yes, analog computing is experiencing a resurgence in low-power IoT devices, signal processing, and mixed-signal systems where real-time computation is critical.
Course Tutor
Prof. Alan Whitmore
Prof. Alan Whitmore is a leading expert in analog computing and computational electronics with over 20 years of academic and research experience. He holds a PhD in Electrical Engineering from Caltech and has authored numerous papers on analog computation and mixed-signal systems. Prof. Whitmore has restored historical analog computers and applies this knowledge to cutting-edge research in low-power and neuromorphic computing. His engaging teaching style makes complex analog concepts accessible to all learners.
Throughout this course, Alan will guide you through both theoretical foundations and hands-on circuit building, ensuring you gain practical skills in analog computing.
Course Reviews
Prof. Whitmore's expertise in analog computing is truly exceptional. Building op-amp circuits to solve differential equations was incredibly rewarding.
Fascinating course! The history of analog computers combined with modern applications was eye-opening. The final project was challenging and fun.
The mathematical operations module helped me understand how analog computers actually compute. Building an integrator circuit from scratch was very satisfying.
Finally, a course that covers analog computing properly. The hands-on approach with real circuits makes the concepts stick. Highly recommended!
This course exceeded my expectations. The blend of historical context and modern applications gives a complete picture of analog computing.
From knowing nothing about analog computing to building a complete working circuit. Prof. Whitmore makes complex topics easy to understand.