This is an old Workshop Schedule
August 10th-14th 2020
| Monday 10th | Tuesday 11th | Wednesday 12th | Thursday 13th | Friday 14th | |
|---|---|---|---|---|---|
10:00 am – 12:30 pm EST |
Introduction to R | Introduction to R | Introduction to R II | Introduction to R II | Presentation of Results |
| Niche Modeling: Pikas! | Niche Modeling: Pikas! | Evolutionary History | Evolutionary History | ||
| Niche Modeling: Beetles! | Niche Modeling: Beetles! | Introduction to HPCC (MU only) |
Introduction to HPCC (MU only) |
Awards Ceremony |
|
| Data Management in R | Data Management in R | Data Visualization in R | Data Visualization in R | ||
12:30 pm – 1:30 pm EST |
The role of Computing in Biology |
Careers in Biology | Imposter’s Syndrome: What is it and How to Cope? |
Women in Science |
Lunch |
1:30 pm – 4:00 pm EST |
Introduction to Python | Introduction to Python | Introduction to Python II | Introduction to Python II | Biology Mixer |
| Loops and Functions in R | Loops and Functions in R | Conservation Biology | Conservation Biology | ||
| Introduction to GIS | Introduction to GIS | Advanced GIS | Advanced GIS |
Overview
Students will take a total of 4 classes (listed above) during the workshop, with the ability to choose between multiple courses depending on their interests. Each class will have approximately 15 students, allowing for one-on-one interaction with instructing faculty. WHEN CHOOSING CLASSES- each color represents ONE CLASS held over a two-day period.
The conclusion of the workshop will be presentations of the cumulative findings from the courses; many projects which will result in publications in peer-reviewed journals. Following lunch the final day, students will network with faculty, graduate students, and industry biologists.
Mon/Tues Morning Class (Orange)
- 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!)
- Ecological Niche Modeling (Pikas or Beetles): Why are species where they are? Some previous experience in R suggested
- Data Management in R: For the more advanced biologist that is looking to manage their large datasets like a pro! (basic R experience required)
Mon/Tues Afternoon Class (Green)
- Introduction to Python (part I): a true introduction to Python the coding language. No previous experience required, fun biological practice problems guaranteed!
- Loops and Functions in R: This is a more advanced class for biologists that are looking to better code using loops and functions! (basic R experience required)
- 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)
Wed/Thurs Morning Class (Blue)
- 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!
- Genes & Evolution: An Introduction to working with genetic data– work with real gene sequences in aligning and understanding their evolutionary history.
- Introduction to HPCC (Miami Students Only): How to use shell and the Redhawk Cluster Computer
- Data Visualization in R; For that more experienced biologist that wants to improve their ability to convey their data visually (basic R experience required)
Wed/Thurs Afternoon Class (Grey)
- 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!
- Conservation Biology: An Introduction to theory and foundations of conservation biology, no coding experience required.
- 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.
Please Note: When we say “basic” R experience for the more advanced courses, we do NOT mean that you have to be proficient. That is what the course is for, don’t be afraid to try something new! That is what this workshop is for.