1 / 5

The good news

Learn strategies for collaborative, well-prepared presentations with clear organization, slide suggestions, and tips for model building, analysis, and creativity.

keithl
Download Presentation

The good news

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The good news Well-prepared & presented  Collaborative presentations very well done Correct organization: a brief introduction, a formulation of the modeling equations, an analysis of the results, and a conclusion slide All talks were on schedule, good preparation

  2. Suggestions for slide style • Figures sometimes looked bad on the overhead projector: • fonts too small (use 20-24 point minimum, especially in plots) • plot lines too thin (LineWidth Matlab command) • some slides too crowded  (mostly ok, though) • Plots need to be clearly & completely labeled/ legend/ titled

  3. Presentation style • Use less slides (again, most of you ok on this) • Know what to present:   • Omit or shorten obvious results/ model description • include only interesting & surprising outcomes • Include a short conclusion slide: list only the interesting formulation/ results • Choose notations/ parameter names wisely (e.g. P and R rather than P and p)

  4. How to build a model • Model building is iterative! • Add new elements to an already-existing model one at a time • Ask yourself what is the main problem with the results (e.g. population dies) • Fix it and back to step 2 • Add complications only if essential  • Examine qualitative features of your model first • consider extreme scenarios: how does model/ new term act when each parameter and/ or variable goes to infinity?  to zero?  negative values? 

  5. Analysis • Analysis is more than running ODE45 a few times and showing graphs • Do a fixed point analysis; linear stability analysis (algebraic if possible; numerical if not) • Parameter sensitivity: vary unknown/ arbitrary parameters to see how system reacts… Creativity • Always attempt to do something unusual/ novel in model formulation/ analysis. We are here • Seek help when things go wrong or just to get feedback.

More Related