DRT 224 · 3(2-3-5) · Year/term 2/1

Microcontrollers and Embedded Systems

ไมโครคอนโทรลเลอร์และระบบสมองกลฝังตัว

Progress
Notional hours: 150 h (online/self-study 75 · in class/lab 75)

Course description

Microcontroller architecture; embedded systems; programming; sensor and device interfacing; data communication; and applications in UAS, robotics, and automation.

Thai description

สถาปัตยกรรมไมโครคอนโทรลเลอร์ ระบบสมองกลฝังตัว การเขียนโปรแกรม การเชื่อมต่อเซนเซอร์และอุปกรณ์ การรับส่งข้อมูล และการประยุกต์กับ UAS หุ่นยนต์ และระบบอัตโนมัติ

Description source: Curriculum draft (25 Sep 2026)

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Explain microcontroller and embedded architecturePLO1PLO4
CLO2Program GPIO, timers and interruptsPLO4
CLO3Interface devices via UART, I2C, SPI and CANPLO2PLO4

Learning modules

1MCU architecture
Weeks 1–3 · 30 h
1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

2C/C++ on embedded systems
Weeks 4–6 · 30 h
1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

3GPIO, timers, interrupts and PWM
Weeks 7–9 · 30 h
1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

4Serial interfaces and DroneCAN
Weeks 10–12 · 30 h
1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

5RTOS and embedded AI
Weeks 13–15 · 30 h
2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Assessment (draft)

Labs and worksheets35%
Module quizzes10%
Midterm examination20%
Mini-project or practical exam35%

Knowledge domain

Key references

  1. White, E. (2024). Making embedded systems (2nd ed.). O'Reilly.
  2. ArduPilot Dev Team. ArduPilot documentation. link
  3. PX4 Autopilot. PX4 user and developer guide. link