UAT 476 · 3(2-2-5) · Year/term 4/1

IoT and Smart Warehouse Systems

อินเทอร์เน็ตของสรรพสิ่งและระบบคลังสินค้าอัจฉริยะ

Progress
Notional hours: 135 h (online/self-study 75 · in class/lab 60)

Course description

Internet of Things architecture, sensors and edge devices, gateways, communication protocols, databases and cloud services, asset tracking, warehouse-system integration, automation, data analytics, and security of smart warehouse systems

Thai description

สถาปัตยกรรมอินเทอร์เน็ตของสรรพสิ่ง เซนเซอร์และอุปกรณ์ปลายทาง เกตเวย์ โพรโทคอลสื่อสาร ฐานข้อมูลและคลาวด์ การติดตามทรัพย์สิน การเชื่อมต่อระบบคลังสินค้า ระบบอัตโนมัติ การวิเคราะห์ข้อมูล และความมั่นคงปลอดภัยของระบบคลังสินค้าอัจฉริยะ

Description source: Curriculum draft (revised 28 Sep 2026)Previous site code: DRT 476

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Explain IoT architecture in smart warehousesPLO4
CLO2Develop sensor messaging over MQTTPLO4
CLO3Integrate drone data with WMS and dashboardsPLO5

Learning modules

1IoT in warehouses
Weeks 1–3 · 27 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 · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

2MQTT and brokers
Weeks 4–6 · 27 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 · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

3LoRa and sensor networks
Weeks 7–9 · 27 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 · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

4Cloud and dashboards
Weeks 10–12 · 27 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 · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

5Drone integration
Weeks 13–15 · 27 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 · 12 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. Kurose, J. F., & Ross, K. W. (2025). Computer networking: A top-down approach (9th ed.). Pearson. link
  2. Wawrla, L., Maghazei, O., & Netland, T. (2019). Applications of drones in warehouse operations (White paper). ETH Zurich, D-MTEC, Chair of Production and Operations Management. link