Individual based models using R (and netlogo) (IBMS01)
This course will be delivered by Dr Aris Moustakas from the 1st - 5th of April in Glasgow City Center.
Course Overview: This workshop will provide attendees with the opportunity to learn how (1) to understand; (2) run simulations of readily available Individual Based Models (IBMs); (3) analyze the outputs of IBMs; (4) parameterize IBMs, and (5) code relatively basic IBMs in R and NetLogo. Examples and applications will include cases from diverse domains and scientific disciplines such as social sciences, biology, and environmental sciences.
Machine learning using R (MLUR01)
This course will be delivered by Dr Aris Moustakas from the 8th - 12th of April in Glasgow City Center.
Course Overview: This workshop will provide attendees with the opportunity to learn how to use machine learning to analyze data coming from diverse data domains and scientific disciplines and without necessarily prior knowledge of the scientific discipline where the data are coming from. Attendees will learn how to use R and several R packages including classification and regression trees, ensembles and bagging, random forests, neural networks, and boosting (learning from mistakes). These techniques will be used for data classification, determining goodness-of-fit, predictive modelling (using explanatory variables to predict a variable of interest), and ultimately quantify results, errors, and uncertainty. Attendees will also learn how to produce high quality graphs and figures using R.
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