Internet of Things and Robotics (COMP6967001)
Undergraduate course, BINUS University, Artificial Intelligence Program, 2026
A 2+2 credit course (theory and practicum) introducing the integration of IoT, robotics, and AI: how sensors, embedded systems, and communication protocols collect, transmit, and process data, from basic IoT concepts to designing intelligent systems that integrate devices, cloud platforms, and decision-making logic. Students build an end-to-end IoT ecosystem from prototype to deployment.
Sessions
- Sessions 1-3: Embedded Foundations — introduction to IoT, embedded systems and ESP32, embedded programming fundamentals, digital electronics
- Sessions 4-5: Sensing and Actuation — sensors and data acquisition, actuators and embedded control
- Sessions 6-8: Connectivity — networking and Wi-Fi communication, wireless communication (Bluetooth, BLE, ESP-NOW), cloud connectivity and IoT platforms (HTTP and MQTT)
- Sessions 9-10: Intelligent IoT — IoT visualization and intelligent automation, edge AI and TinyML
- Sessions 11-13: Systems and Deployment — cloud AI and intelligent IoT systems, designing intelligent IoT systems, final presentation
Learning Outcomes
- Explain IoT architectures, embedded systems, and robotics fundamentals
- Implement IoT systems using sensors, microcontrollers, and communication protocols
- Apply data-driven and AI techniques in IoT and robotic systems
- Evaluate complete IoT ecosystems for real-world applications
Resources
- Textbook: Kapoor (2025). Hands-On Artificial Intelligence for IoT (Packt)
- Tools: ESP32, Arduino IDE, Wokwi simulator, ThingsBoard
Full session materials, practicum guides, and hardware specifications are shared with enrolled students only.