Notes on Current Build (0.999...)
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This site is currently a prototype, intended primarily to test functionality of the content delivery platform. We will begin populating module content soon. Please send any and all feedback to Hayden Fennell at hfennel **at** iu **dot** edu.

Known Issues
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* There are some issues with sidebar navigation on certain pages. This is due to some pages not being updated as we make rapid changes to content. A full source file rebuild will be performed (which will fix sidebar navigation) in the next build upload.
* There are some missing images on a couple of the notebooks. These should be marked. These are images that were lost in the original notebooks. We are currently looking for replacements to fix the broken links.
* The notebook/resource appendix is still under construction as content shifts. Please check back again for regular updates.

Content Update Schedule
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This site will follow a weekly update schedule. Updates will be pushed and the build number will be updated each Friday afternoon. Please see the table below for the current content update schedule:

.. list-table:: 
   :widths: 50 50 50
   :header-rows: 1
   
   * - Module or Page
     - Content Notes
     - Delivery Date
   * - Module 0: Introduction to Scientific Computing
     - Python basics, loops, data handling
     - **Final:** 09/12/25
   * - Module 1: Introduction to Biological Modeling
     - The Modeling Workflow, Identifying meaningful hypothesis, model abstraction
     - **Final:** 09/12/25
   * - Module 2: Building Mathematical Models
     - ODE Modeling, PDE Solution approaches and finite difference method, common equation types
     - **Final:** 09/12/25 
   * - Module 3: Converting Math To Code
     - Executing equations in code, model specification and parameterization, common simulation methodologies
     - **Final:** 09/12/25
   * - Module 4: Data Analysis
     - Managing and cleaning data, visualization, model fitting, statistical methods
     - **Draft:** 09/12/25 
   * - Module 5: Validity, Reliability, and Optimization
     - Validation vs verification, methods, pairing models with experiment, model optimization
     - **Draft:** 09/19/25 
   * - Module 6: Best Practices
     - Suggested best practices for building successful models. What to anticipate during model setup, how to choose parameters from literature, common debugging strategies, and more.
     - **Draft:** 09/26/25
   * - Module 7: Biological background
     - Biological background information needed to do the worked examples, summary exercises, and projects
     - **Draft:** 10/17/25
   * - Module 8: Worked Examples
     - 
     - **Draft:** 10/03/25
   * - Module 9: Summary Exercises
     - 
     - **Draft:** 10/17/25
   * - Module 10: Projects
     - 
     - **Draft:** 10/24/25
     
**Last Updated: 09/05/25**