An Introduction to Programming the Internet of Things (IOT) Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Introduction to the Internet of Things and Embedded Systems
Estimated time: 11 hours
- Overview of IoT and its societal impact
- Understanding embedded systems and their role in IoT
- Introduction to hardware components in IoT devices
- Fundamentals of networking in IoT
Module 2: The Arduino Platform and C Programming
Estimated time: 12 hours
- Introduction to the Arduino platform
- Writing C code for Arduino microcontrollers
- Building simple IoT devices with Arduino
- Understanding hardware-software interaction in embedded systems
Module 3: The Raspberry Pi Platform and Python Programming
Estimated time: 11 hours
- Exploring the Raspberry Pi platform
- Setting up the Raspberry Pi operating environment
- Introduction to Python programming for IoT
- Writing basic Python scripts for device control
Module 4: Interfacing with the Raspberry Pi
Estimated time: 11 hours
- Connecting sensors and actuators to Raspberry Pi
- Reading data from analog and digital sensors
- Understanding analog-to-digital conversion
- Signal processing techniques for sensor data
Module 5: Programming for the Internet of Things Project
Estimated time: 11 hours
- Designing a microcontroller-based embedded system
- Integrating sensors and actuators with microcontrollers
- Programming IoT functionality using learned skills
Module 6: Capstone Project
Estimated time: 11 hours
- Designing a functional IoT device
- Building and testing the embedded system
- Creating a showcase-ready project for professional portfolios
Prerequisites
- Basic understanding of computer operations
- Familiarity with fundamental programming concepts
- Access to a computer with internet connection for lab setups
What You'll Be Able to Do After
- Explain core IoT concepts and embedded systems fundamentals
- Program Arduino devices using C for real-world applications
- Develop Python applications on Raspberry Pi for IoT tasks
- Interface sensors and actuators with single-board computers
- Design and build a working IoT prototype for practical use