Site under construction for CompSciBio 2021
Below you can see the list of courses and materials offered for CompSciBio 2020
You can access the printed and electronic materials in our GitHub repositories for each course. You will see a green button that says ‘code’ in each one. Click on that button and then ‘download as ZIP’. You also have the option to download single files
- Introduction to R (part I): a true introduction to the coding language that is vital to most biologists, absolutely no previous experience required. (fun biological practice problems guaranteed!) – GitHub Repository for Introduction to R (Part I)
- Introduction to R (Part II): The sequel to part I, and a great refresher for that more advanced biologist that wants to review the basics. Once again, fun bio practice problems! – GitHub Repository for Introduction to R (Part II)
- Introduction to Python (part I): a true introduction to Python the coding language. No previous experience required, fun biological practice problems guaranteed! – GitHub Repository for Introduction to Python (Part I)
- Introduction to Python (Part II): The sequel to part I, and a great refresher for that more advanced biologist that wants to review the basics. Once again, fun bio practice problems! – GitHub Repository for Introduction to Python (Part II)
- Introduction to GIS: Learn the basics of mapping and analyzing species in our intro to Geographic Information Systems (GIS). You’ll learn the foundational concepts of GIS as well as usage of GIS software through examples with real biological data (no previous experience required) – GitHub Repository for Introduction to GIS
- Advanced GIS in R: This is an advanced GIS course with R (previous R experience IS required). You’ll learn how to make three different spatial analyses using R as a GIS software. – Github Repository for Advanced GIS
- Ecological Niche Modeling (Pikas or Beetles): Why are species where they are? Some previous experience in R suggested – GitHub Repository for ENM (Pikas) OR ENM (Beetles)
- Data Management in R: For the more advanced biologist that is looking to manage their large datasets like a pro! (basic R experience required) – GitHub Repository for Data Management in R
- Genes & Evolution: An Introduction to working with genetic data– work with real gene sequences in aligning and understanding their evolutionary history. – GitHub Repository for Genes & Evolution
- Introduction to HPCC (Miami Students Only): How to use shell and the Redhawk Cluster Computer – GitHub Repository for Introduction to HPCC
- Data Visualization in R; For that more experienced biologist that wants to improve their ability to convey their data visually (basic R experience required) – GitHub Repository for Data Visualization in R
- Loops and Functions in R: This is a more advanced class for biologists that are looking to better code using loops and functions! (previous R experience required) – GitHub Repository for Loops and Functions in R
- Conservation Biology: An Introduction to theory and foundations of conservation biology, no coding experience required. – GitHub repository for Conservation Biology