State Machines
Lessons that develop this skill
Section titled “Lessons that develop this skill”| Lesson | Course | Develops to |
|---|---|---|
| Behind LEDs and buttons: active-low, debouncing and the endless loop | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L1 Aware |
| Hands-on: running lights, a button, and the broker | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L2 Guided |
| Hands-on: the digital level | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L1 Aware |
| The starter: Sense, Decide, Show, Send | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L2 Guided |
| Build and present your AIoT mini-product | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L2 Guided |
| Navigation shell: menu bar, pages and page routing | TESAIoT Firmware Stack: C Firmware on the TESAIoT Dev Kit | L1 Aware |
| Complete Wi-Fi manager: connect, retry and auto-connect | TESAIoT Firmware Stack: C Firmware on the TESAIoT Dev Kit | L3 Independent |
| Unit tests on the host | Embedded C Foundations on PSoC Edge | L2 Guided |
| Taking an edge AI app apart: the registry, the verdict and the action | Edge AI Developer: From Sensor to On-Device Model | L1 Aware |
| Hands-on: from verdict to action on the board | Edge AI Developer: From Sensor to On-Device Model | L2 Guided |
| The action pipeline: CONF_FLOOR, debounce, cooldown and on_result | Edge AI Developer: From Sensor to On-Device Model | L2 Guided |
| Hands-on: an action pipeline that resists false positives | Edge AI Developer: From Sensor to On-Device Model | L2 Guided |
Lessons that assess this skill
Section titled “Lessons that assess this skill”| Lesson | Level | Evidence |
|---|---|---|
| Hands-on: running lights, a button, and the broker | L2 Guided | practice/s03_led_button.py |
| Build and present your AIoT mini-product | L2 Guided | practice/s12_capstone_starter.py |
| Complete Wi-Fi manager: connect, retry and auto-connect | L2 Guided | วิดีโอหรือ log ที่บอร์ดต่อ Wi-Fi อัตโนมัติหลังรีเซ็ต และกลับมาเองหลังปิด AP |
| Hands-on: from verdict to action on the board | L2 Guided | practice/s03_anatomy_edgeai.py |
Roles that use this skill
Section titled “Roles that use this skill”| Role | Minimum level | In this role |
|---|---|---|
| Firmware Developer | L3 Independent | Required (R) |
| IoT Device Developer | L3 Independent | Required (R) |
Proficiency levels
Section titled “Proficiency levels”- L1 Aware · Bloom: remember/understand
- L2 Guided · Bloom: apply (scaffolded)
- L3 Independent · Bloom: apply/analyse
- L4 Professional · Bloom: analyse/evaluate
- L5 Design & Lead · Bloom: evaluate/create
For Open Badges 3.0 and CASE alignment
Section titled “For Open Badges 3.0 and CASE alignment”UUID: bf117de3-ac3b-519e-91fe-06328942ed26
{ "type": [ "Alignment" ], "targetName": "State Machines", "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/prog.state-machines/", "targetCode": "prog.state-machines", "targetFramework": "TESA Embedded Systems Skill Map 0.1.0", "targetType": "CFItem"}Skill map data is licensed CC BY-SA 4.0, adapted from the Embedded Systems Engineering Roadmap by Meysam Parvizi
TESA Open Knowledge · © 2026 สมาคมสมองกลฝังตัวไทย (TESA) · CC BY-NC 4.0
Content is licensed CC BY-NC 4.0. Reuse it non-commercially and credit the Thai Embedded Systems Association (TESA) every time. · How to cite TESA