Module #1 Introduction to Green Building Overview of green building principles and importance of sustainable construction
Module #2 What is Artificial Intelligence (AI)? Basics of AI, machine learning, and deep learning
Module #3 AI in the Built Environment Applications of AI in architecture, engineering, and construction
Module #4 Importance of Material Selection in Green Building Impact of material selection on building performance and sustainability
Module #5 The Role of AI in Material Selection Overview of how AI can aid in green building material selection
Module #6 Data Sources for Material Selection Overview of data sources for material properties and building information
Module #7 Data Preprocessing for AI Modeling Cleaning, normalizing, and transforming data for AI model training
Module #8 Feature Engineering for Material Selection Selecting relevant features for AI model input
Module #9 Data Visualization for Material Selection Visualizing material data for decision-making
Module #10 Data Quality and Uncertainty in Material Selection Addressing data quality and uncertainty in AI-driven material selection
Module #11 Introduction to Machine Learning for Material Selection Basics of machine learning and its application to material selection
Module #12 Regression Models for Material Property Prediction Using regression models to predict material properties
Module #13 Classification Models for Material Selection Using classification models to select materials based on performance criteria
Module #14 Clustering and Unsupervised Learning for Material Selection Using clustering and unsupervised learning to identify patterns in material data
Module #15 Deep Learning for Material Selection Applying deep learning techniques to material selection
Module #16 Introduction to Building Information Modelling (BIM) Overview of BIM and its benefits in construction
Module #17 Integrating AI-Driven Material Selection with BIM Using BIM to integrate AI-driven material selection
Module #18 Life Cycle Analysis (LCA) for Sustainable Material Selection Overview of LCA and its application to material selection
Module #19 Integrating AI-Driven Material Selection with LCA Using LCA to evaluate the environmental impacts of AI-driven material selection
Module #20 Case Studies:AI-Driven Material Selection in BIM and LCA Real-world examples of AI-driven material selection in BIM and LCA
Module #21 Implementing AI-Driven Material Selection in Practice Challenges and opportunities in implementing AI-driven material selection
Module #22 Data Management and Security for AI-Driven Material Selection Managing and securing data for AI-driven material selection
Module #23 Collaboration and Interoperability in AI-Driven Material Selection Collaboration and interoperability between AI, BIM, and LCA tools
Module #24 Ethical Considerations in AI-Driven Material Selection Addressing ethical concerns in AI-driven material selection
Module #25 Future Directions in AI-Driven Material Selection Emerging trends and future directions in AI-driven material selection
Module #26 Final Project:AI-Driven Material Selection for a Case Study Building Applying AI-driven material selection to a case study building
Module #27 Project Evaluation and Feedback Evaluating and providing feedback on final projects
Module #28 Case Study Presentations Presenting final projects and discussing results
Module #29 Assessment and Certification Assessing student understanding and awarding certification
Module #30 Course Wrap-Up & Conclusion Planning next steps in AI in Green Building Material Selection career
