Module #1 Introduction to Fisheries Sustainability Overview of the importance of sustainable fisheries management, global challenges, and the role of predictive modeling
Module #2 Fundamentals of Predictive Modeling Basics of predictive modeling, types of models, and advantages of using predictive models in fisheries management
Module #3 Data Sources for Fisheries Modeling Overview of data sources used in fisheries modeling, including fishery-dependent and fishery-independent data
Module #4 Data Preprocessing for Fisheries Modeling Techniques for data cleaning, transformation, and preparation for modeling
Module #5 Introduction to R for Fisheries Modeling Basics of using R for data manipulation, visualization, and modeling in fisheries context
Module #6 Stock Assessment Models Overview of stock assessment models, including surplus production models and biomass dynamic models
Module #7 Age-Structured Models Introduction to age-structured models, including recruitment models and growth models
Module #8 Size-Based Models Introduction to size-based models, including length-based models and size-spectrum models
Module #9 Species Distribution Models Overview of species distribution models, including habitat models and species-environment relationships
Module #10 Machine Learning for Fisheries Modeling Introduction to machine learning techniques, including supervised and unsupervised learning
Module #11 Random Forest for Fisheries Modeling Application of random forest algorithms to fisheries modeling
Module #12 Generalized Additive Models for Fisheries Modeling Application of generalized additive models to fisheries modeling
Module #13 Uncertainty Analysis in Fisheries Modeling Methods for quantifying uncertainty in fisheries models, including sensitivity analysis and Monte Carlo simulations
Module #14 Model Evaluation and Selection Criteria and methods for evaluating and selecting the best model for fisheries management
Module #15 Case Studies in Fisheries Modeling Real-world examples of predictive modeling applications in fisheries management
Module #16 Operationalizing Predictive Models for Fisheries Management Strategies for implementing predictive models in fisheries management, including decision-support tools and management strategy evaluation
Module #17 International Collaboration and Data Sharing Importance of international collaboration and data sharing in fisheries modeling and management
Module #18 Emerging Technologies in Fisheries Modeling Introduction to emerging technologies, including artificial intelligence, genomics, and eco-labeling
Module #19 Fisheries Management Strategy Evaluation Methods for evaluating the performance of fisheries management strategies using predictive models
Module #20 Economic and Social Considerations in Fisheries Modeling Incorporating economic and social factors into fisheries modeling and management
Module #21 Marine Protected Areas and Fisheries Modeling Role of marine protected areas in fisheries conservation and management, including modeling applications
Module #22 Climate Change Impacts on Fisheries Predictive modeling of climate change impacts on fisheries, including ocean acidification and warming
Module #23 Non-Target Species and Bycatch Modeling Predictive modeling of non-target species and bycatch in fisheries
Module #24 Fisheries Policy and Governance Overview of fisheries policy and governance frameworks, including the role of predictive modeling
Module #25 Stakeholder Engagement and Participatory Modeling Methods for engaging stakeholders and incorporating their knowledge into fisheries modeling and management
Module #26 Communication and Visualization of Fisheries Modeling Results Strategies for effectively communicating and visualizing fisheries modeling results to stakeholders
Module #27 Predictive Modeling for Ecosystem-Based Fisheries Management Application of predictive modeling to ecosystem-based fisheries management
Module #28 Spatial and Temporal Modeling of Fisheries Data Methods for modeling spatial and temporal patterns in fisheries data
Module #29 Fisheries Modeling for Food Security and Nutrition Role of predictive modeling in ensuring food security and nutrition through sustainable fisheries management
Module #30 Course Wrap-Up & Conclusion Planning next steps in Predictive Modeling for Fisheries Sustainability career
