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Ten Simple Rules to Make the Most Out of Your Undergraduate Research Career

A good article to have research students read when they start doing research with you.

  1. Article
  2. PLoS
  3. Undergraduate

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Erin N. Bodine onto Resources for Advising Undergraduate Research
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Running undergraduate research groups

Presentation by Chad Topaz

  1. applied math
  2. research groups
  3. undergraduate research

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Carrie Diaz Eaton onto Funding and other logistic matters for undergraduate research
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A guide to the R package manager

How to extend the functionality of R by installing and loading "packages"

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Colin Reimer Dawson onto Computing Tools (R)
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Funding for applied math undergraduate student research

Presentation by Chad Topaz

  1. chad topaz
  2. funding

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Carrie Diaz Eaton onto Funding and other logistic matters for undergraduate research
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Tutorial on the curve fitting tool (CFTool)

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Julie Blackwood onto Computing tools (MATLAB)
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Some plotting information

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Julie Blackwood onto Computing tools (MATLAB)
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Overview of some ode solvers in MATLAB, including stiff solver

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Julie Blackwood onto Computing tools (MATLAB)
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SACNAS

Society for the Advancement of Chicanos and Native Americans in Science

  1. professional society
  2. sacnas

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Carrie Diaz Eaton onto Diversity and Inclusion
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Common R Commands ("Cheat Sheet") --- based on `mosaic` package

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Colin Reimer Dawson onto Computing Tools (R)
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Modeling team group contract

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Profile picture of Blerta Shtylla

Blerta Shtylla onto Foundational and/or entry level modeling courses
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Tutorial for numerical solutions of ODEs + supporting code

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Profile picture of Julie Blackwood

Julie Blackwood onto Computing tools (MATLAB)
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MATLAB intro with more ODEs, some optimization

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Julie Blackwood onto Computing tools (MATLAB)
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The R Graphics Cookbook

"Recipes" for data visualization in R using the ggplot2 package

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Profile picture of Colin Reimer Dawson

Colin Reimer Dawson onto Computing Tools (R)
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Erin Bodine's webpage: MATLAB & LaTeX tutorials

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Julie Blackwood onto Computing tools (MATLAB)
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A Student's Guide to R (Simplified R for Data Analysis via Project MOSAIC)

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Colin Reimer Dawson onto Computing Tools (R)
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A more detailed MATLAB intro (definitions, matrices, linear algebra, etc)

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Julie Blackwood onto Computing tools (MATLAB)
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Crash Course in Basic Stats via R (DataCamp)

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Colin Reimer Dawson onto Computing Tools (R)
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Machine Learning Basics in R

Introduction to basic machine learning ideas through a guided R-based tutorial (via DataCamp).

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Colin Reimer Dawson onto Computing Tools (R)
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Swirl interactive tutorial to learn R programming

Instructions to download and install R and RStudio, and run an interactive tutorial within the R console.

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Colin Reimer Dawson onto Computing Tools (R)
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Video Matlab Introduction Stuff

https://drive.google.com/open?id=0B9mZLj6cM4XXaWJ0MUpjLUdIb2s

  1. introduction
  2. matlab
  3. Video

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Benjamin R Morin onto Computing tools (MATLAB)
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A short intro to MATLAB (vectors, loops, an ODE script)

Written for a mathematical ecology course at Williams. Some of it is Williams-specific, but can be modified accordingly.

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Julie Blackwood onto Computing tools (MATLAB)
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Chad Topaz's modeling-without-a-textbook course

Talk given at the SIAM Annual Meeting, 2016

  1. curriculum
  2. mathematical model
  3. modeling
  4. textbook

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Chad Topaz onto Mathematical modeling course
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Team Member Evaluation Rubric

We developed these team member evaluations for a summer research program where we had teams of mathematicians and biologists.  I'm not sure they were that useful after the research was done, but it might be more useful as a way to discuss what we expect from our team members.

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Ami Radunskaya onto Resources for Advising Undergraduate Research
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Research team organization

This was written for project teams in a modeling class, but it can be modified for a longer research project.

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Ami Radunskaya onto Foundational and/or entry level modeling courses
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Mathematical Writing

So this is the chapter on contrapositive proof from Book of Proof by Richard Hammack. But I'm linking this because section 5.3 is about guidelines for mathematical writing - it's more proof-y but still many applicable things.

  1. mathematical
  2. proofs
  3. writing

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May Mei onto Writing & Presentation Tips
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