Schedule

The order in which the lessons are taught at the University of Florida

This is the order in which the material is taught at the University of Florida, with the dates from the most recent offering of the course. Self-guided learners can follow the same sequence.

Date	Topic	Description
August 20th	Course Introduction	Introduction to the class
August 25th	Paleoecological Dynamics	Learn about past responses to global change at the end of the last Ice Age
August 27th	Working with times and dates in R	Formatting times and dates in R to make working with time series data easier
September 1st	Changes in Phenology	Discussing seasonal dynamics and how they change over time
September 3rd	Time Series Decomposition in R	Use R to examine dynamics occuring at different time-scales in ecological data
September 8th	Community Dynamics	Discussion of current dynamics in biodiversity and implications for forecasting
September 10th	Time Series Autocorrelation in R	Learn about autocorrelation in time series data and using R to examine it
September 15th	Time series modeling in R 1	Learn time-series modeling in R using ecological data
September 17th	Time series modeling in R 2	Learn time-series modeling in R using ecological data
September 22nd	Time series modeling in R 3	Integrate exogenous variables into time-series models in R using ecological data
September 24th	Introduction to Ecological Forecasting	A brief introduction to the concepts and approaches of ecological forecasting
September 29th	Introduction to Forecasting in R	R tutorial introducing how to make forecasts from time-series models using the forecast package
October 1st	Uncertainty in Forecasting	Discussion of the sources and importance of uncertainty in ecological forecasting
October 6th	Evaluating Forecasts in R	R tutorial on evaluating forecast accuracy and uncertainty using the forecast package
October 8th	Evaluating Forecasts in R 2	R tutorial on evaluating forecast accuracy and uncertainty using the forecast package
October 13th	Forecasting Project - Introduction
October 15th	Forecasting Project - Work Day
October 20th	Complex Time-Series Models in R 1	Introductory tutorial on complex time-series models in R
October 22nd	Complex Time-Series Models in R 2	Second part of introductory tutorial on complex time-series models in R
October 27th	Scenario based forecasting	Discussion of scenario based approaches to forecasting, which explore general classes of future outcomes to facilitate decision making.
October 29th	Forecasting Project - Work Day
November 3rd	Ethics of Ecological Forecasting	Discussion focused on ethical issues that can arise when we make predictions about the future
November 5th	Forecasting Project - Work Day
November 10th	Forecasting Project - Work Day
November 12th	Forecasting Project - Work Day
November 17th	Forecasting Project - Work Day
November 19th	Forecasting Project - Presentations
December 1st	Wrap up: Can we (and what should we) forecast in ecology?	Synthetic discussion of how to use forecasting in ecology given the strengths, weakness, and approaches we’ve learned.

Project work days and presentations do not have lesson pages.

To change the schedule, edit schedule/schedule.csv and run python3 scripts/build_schedule.py.