Module #1 Introduction to Water Resource Planning Overview of water resource planning, importance of predictive models, and course objectives
Module #2 Water Resource Planning Frameworks Review of water resource planning frameworks, including IWRM and water sensitive urban design
Module #3 Predictive Modeling Concepts Introduction to predictive modeling concepts, including types of models, data requirements, and model evaluation metrics
Module #4 Data Sources for Water Resource Planning Overview of data sources for water resource planning, including sensors, crowdsourced data, and remote sensing
Module #5 Data Preprocessing for Water Resource Planning Data preprocessing techniques for water resource planning, including data cleaning, normalization, and feature selection
Module #6 Introduction to Statistical Modeling Introduction to statistical modeling for water resource planning, including regression analysis and time series modeling
Module #7 Time Series Analysis for Water Resource Planning Time series analysis techniques for water resource planning, including ARIMA, Exponential Smoothing, and Seasonal Decomposition
Module #8 Machine Learning Fundamentals Introduction to machine learning concepts, including supervised and unsupervised learning, bias-variance tradeoff, and overfitting
Module #9 Machine Learning Algorithms for Water Resource Planning Machine learning algorithms for water resource planning, including decision trees, random forests, and support vector machines
Module #10 Neural Networks for Water Resource Planning Neural networks for water resource planning, including feedforward networks and recurrent neural networks
Module #11 Model Evaluation and Selection Model evaluation metrics and techniques, including cross-validation, walk-forward validation, and model selection criteria
Module #12 Predictive Modeling of Hydrological Processes Predictive modeling of hydrological processes, including rainfall-runoff modeling and streamflow forecasting
Module #13 Predictive Modeling of Water Quality Predictive modeling of water quality, including water quality index modeling and pollutant loading modeling
Module #14 Predictive Modeling of Water Demand Predictive modeling of water demand, including residential, commercial, and industrial water demand forecasting
Module #15 Predictive Modeling of Water Supply Systems Predictive modeling of water supply systems, including water distribution network modeling and pumping station optimization
Module #16 Uncertainty Analysis in Predictive Modeling Uncertainty analysis in predictive modeling, including sensitivity analysis, Monte Carlo simulations, and Bayesian inference
Module #17 Case Studies in Predictive Modeling for Water Resource Planning Real-world case studies in predictive modeling for water resource planning, including water supply planning, flood risk management, and water infrastructure design
Module #18 Model Deployment and Maintenance Model deployment and maintenance strategies, including model updating, refitting, and retraining
Module #19 Data-Driven Decision Making in Water Resource Planning Data-driven decision making in water resource planning, including data visualization, reporting, and storytelling
Module #20 Ethics and Fairness in Predictive Modeling for Water Resource Planning Ethical considerations in predictive modeling for water resource planning, including fairness, transparency, and accountability
Module #21 Challenges and Limitations of Predictive Modeling in Water Resource Planning Challenges and limitations of predictive modeling in water resource planning, including data quality issues, model complexity, and scalability
Module #22 Future Directions in Predictive Modeling for Water Resource Planning Future directions in predictive modeling for water resource planning, including emerging trends, technologies, and research areas
Module #23 Group Project:Developing a Predictive Model for Water Resource Planning Guided group project to develop a predictive model for a water resource planning problem
Module #24 Final Project Presentations and Feedback Final project presentations and feedback from instructors and peers
Module #25 Course Wrap-Up & Conclusion Planning next steps in Predictive Models in Water Resource Planning career
