Module #1 Introduction to IoT and Smart Buildings Overview of IoT and its applications in building management, benefits and challenges of smart buildings
Module #2 Understanding Building Management Systems (BMS) Overview of traditional BMS, components, and functions
Module #3 IoT Sensors and Devices for Smart Buildings Types of IoT sensors and devices used in smart buildings, including temperature, humidity, motion, and air quality sensors
Module #4 Communication Protocols for IoT in Smart Buildings Overview of communication protocols used in IoT, including Wi-Fi, Bluetooth, Zigbee, and LoRaWAN
Module #5 Data Analytics for Smart Building Management Introduction to data analytics, data types, and analytics tools used in smart building management
Module #6 Cloud-based IoT Platforms for Smart Buildings Overview of cloud-based IoT platforms, including AWS IoT, Microsoft Azure IoT, and Google Cloud IoT Core
Module #7 Security and Privacy in IoT-based Smart Buildings Security threats and risks in IoT-based smart buildings, security measures and best practices
Module #8 Smart Lighting Systems Design and implementation of smart lighting systems, including LED lighting, occupancy sensing, and daylight harvesting
Module #9 HVAC Systems in Smart Buildings Optimization of heating, ventilation, and air conditioning (HVAC) systems using IoT and data analytics
Module #10 Energy Management in Smart Buildings Energy efficiency measures, energy metering, and energy management systems in smart buildings
Module #11 Water Management in Smart Buildings Water efficiency measures, leak detection, and water management systems in smart buildings
Module #12 Waste Management in Smart Buildings Smart waste management systems, including sensors, analytics, and optimization techniques
Module #13 Indoor Air Quality (IAQ) Management Importance of IAQ, monitoring, and management strategies using IoT and data analytics
Module #14 Space Management and Optimization Space utilization, space optimization, and space management strategies using IoT and data analytics
Module #15 Predictive Maintenance in Smart Buildings Predictive maintenance techniques, including machine learning and AI, for smart building maintenance
Module #16 Building Automation Systems (BAS) Integration Integration of IoT systems with BAS, including protocols and standards
Module #17 Case Studies of IoT-based Smart Buildings Real-world examples of IoT-based smart buildings, including benefits, challenges, and lessons learned
Module #18 Designing a Smart Building Project Best practices for designing a smart building project, including project planning, design, and implementation
Module #19 Implementing IoT in Existing Buildings Challenges and opportunities of implementing IoT in existing buildings, including retrofitting and upgrading
Module #20 Cybersecurity in IoT-based Smart Buildings Cybersecurity risks and threats in IoT-based smart buildings, security measures and best practices
Module #21 Data-driven Decision Making in Smart Buildings Using data analytics to drive decision making in smart buildings, including data visualization and reporting
Module #22 Smart Building Standards and Regulations Overview of standards, regulations, and certifications for smart buildings, including WELL, LEED, and BREEAM
Module #23 Business Case for IoT-based Smart Buildings Building a business case for IoT-based smart buildings, including ROI, cost-benefit analysis, and payback period
Module #24 Ethical Considerations in IoT-based Smart Buildings Ethical considerations in IoT-based smart buildings, including privacy, surveillance, and bias
Module #25 Course Wrap-Up & Conclusion Planning next steps in IoT for Smart Building Management career
