Sensor Manufacturing and Process Control

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Sensor Manufacturing and Process Control

Coursera · Intermediate ·🛠️ AI Tools & Apps ·1mo ago
"Sensor Manufacturing and Process Control" can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled "Sensors and Sensor Circuits", our second course entitled "Motor and Motor Control Circuits", and our third course entitled "Pressure, Force, Motion, and Humidity Sensors". Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. Our second and third courses give you three hands-on lab experiments using the kit. This third course assumes that you already know how to use the kit. You will learn about sensor signal characterization and manufacturing techniques and how to optimize the accuracy of sensors. You will also learn about more advanced sensors, proportional-integral-derivative (PID) control, and how this method is used to give you a closed loop sensor feedback system. After taking this course, you will be able to: ● Understand how sensor manufacturers characterize and calibrate their sensors. ● Tune a PID control loop and access the PID control function of the Cypress PSoC development kit for a motor control application. ● Understand manufacturing methods used to build electro-mechanical and micro-machined sensors. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

35 ChatGPT Prompts for Wealth Managers: Strengthen Client Relationships, Sharpen Analysis, and Scale Your Practice
Wealth managers can leverage ChatGPT with 35 tailored prompts to enhance client relationships, analysis, and practice scalability, freeing up time for high-value tasks
Dev.to AI
I Built an Open-Source AI Tools Directory with 850+ Tools — Here's Why and How
Learn how to build an open-source AI tools directory with 850+ curated tools using Next.js, Prisma, and Supabase
Dev.to AI
Your Tech Stack Has an AI Problem: How to Audit and Fix It in 2026
Learn to identify and fix AI-related issues in your tech stack to stay competitive in 2026
Dev.to · Lycore Development
If you follow my Linux and DevOps articles — this one is different. I built something. Let me tell you about it.
Learn how to build a Yellow Pages for AI tools using FastAPI, Meilisearch, and Redis
Dev.to AI
Up next
How AI Is Transforming ITSM And ITIL 5 | Future Of IT Service Management With AI | Simplilearn
Simplilearn
Watch →