Embedded Systems Hardware Design
ECE-40292
Design real embedded hardware--not just code.
This Embedded Systems Hardware Design course equips students with the skills needed to develop complete embedded systems by integrating both hardware and software engineering principles. As demand grows for engineers who can bridge this gap, this course prepares learners to design fully functional, real-world systems.
Embedded systems power a wide range of industries, including consumer electronics, automotive systems, aviation, transportation, agriculture, medical devices, scientific research, and industrial automation. Applications such as robotics, motion control systems, and SCADA (Supervisory Control and Data Acquisition) systems rely heavily on robust embedded hardware design.
This hands-on course focuses on practical embedded hardware development workflows, guiding students through system architecture design, hardware design principles, and key embedded system components. Topics include Commercial Off-The-Shelf (COTS) modules, microcontrollers, DSP/DSC processors, input/output (I/O) interfacing, communication protocols, and memory systems.
A key differentiator is the integration of AI-assisted engineering workflows, leveraging tools like ChatGPT to enhance:
- Hardware architecture decisions
- Block diagram creation
- Schematic design processes
By the end of the course, students will have the ability to design, prototype, and implement embedded systems that perform dedicated, real-world functions.
Course Highlights:
- Embedded system architecture and internal communication interfaces (SPI, I²C, UART, PDM)
- Hardware design methodology and specifications
- AI-assisted design workflow (e.g., ChatGPT for system and schematic development)
- Selection of microcontrollers and embedded platforms (including DSP/DSC)
- Memory systems and external storage integration
- Sensor selection and signal conditioning circuit design (with simulation)
- External communication: Wi-Fi, Bluetooth Low Energy (BLE), Sub GHz RF modules, USB
- Integration of COTS modules
- Printed Circuit Board (PCB) design:-specifications, requirements, generating manufacturing files
- Firmware programming, debugging, and system testing
Course Learning Outcomes:
- Design and document an embedded system using block diagrams
- Select and implement appropriate interfaces between system modules
- Design signal conditioning circuits for sensors and actuators
- Integrate hardware components into a functional system
- Build, program, and test an embedded system
Hardware: STM32 IOT Discovery Node 915MHZ - Mfg. Part # B-L475E-IOT01A. Part can be purchased from MOUSER Electronics or Digi-Key Electronics or any other reputable electronics dealer. This microcontroller is used in all four required courses in this program.
Course Typically Offered: Online in Winter and Summer quarters.
Prerequisite: ECE-40153 Introduction to Embedded Systems or equivalent knowledge and experience. Knowledge of electronic components and modules and the ability to read and understand electrical schematics required for this course. Working knowledge of KiCAD and LTSpice will be very helpful to students in this course but not required.
Next Step: After completing this course, consider taking ECE-40291 Embedded Controller Programming with Embedded C to continue learning.
Contact: For more information about this course please email unexengr@ucsd.edu
Who Should Take This Course
This course is intended for:
- Electrical, computer, and embedded systems engineers
- Software engineers transitioning to hardware/embedded roles
- Technical professionals with prior electronics experience
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 6/29/2026
Schedule:
Instructor:
Victor Kolesnichenko, Ph.D., Electrical Engineering
Principal Engineer, Sequenom
Dr. Victor Kolesnichenko is the Principal of California Consulting, providing Electrical Engineering consulting services to clients since 1997. Prior positions include; Director of Advanced Development at Metering Technology Corporation, and Principal Engineer at Cyphergen.
Victor has published over 40 articles in magazines, journals, and periodicals. Dr. Kolesnichenko received two solo patents for personal designs in analog electronics, and introduced his engine control system at the Exhibition of National Economy’s Achievements in Moscow, USSR. Currently, he has a patent pending on a Method of Preventing Physical and Electrical Corrosion of ITO on Image Sensors filed with Synaptics Inc.
Victor has a Professional Engineering license E15409 in California and is known as an expert in Advanced Metering Infrastructures for city-wide power, water, and gas distribution systems; including solid state meters communicating over Power Line Carrier, Radio (ZigBee IEEE802.15.4 and Wi-Fi IEEE802.11x), Modem, Cellular Modem, and Infra-Red Optical Port.
Dr. Kolesnichenko received his PhD in Electrical Engineering from Moscow State Automobile & Road Technical University, USSR, and his MS in Computer Engineering from Izhevsk State Technical University, USSR
As a professor, Dr. Victor Kolesnichenko subjects include Applied Mathematics, Theory of Automatic Control, Design of Experiments for Industrial Applications, diploma projects for graduate students in Electrical Engineering, and several courses in our Embedded Systems Engineering program.