Â鶹¹ú²úAV

Quantitative Skills Resources 

The links below are provided as quick resources to help with some of the most common quantitative skills encountered in the Â鶹¹ú²úAV Curriculum. 

Quantitative Skills Specialist Coaching Areas

• Succeeding in Quantitative Subjects - note taking, study methods, exam preparation
• Pre-Algebra - Fractions, Percentages and Decimals
• Algebra - Exponents, Complex Fractions, Solving Equations
• Logarithms and Log Graphs
• Graphing Equations and Interpreting Graphs
• Translating Word Problems Into Equations
• Lab Skills - Scientific Notation, Significant Figures, Dimensional Analysis

Handouts from Â鶹¹ú²úAV's Quantitative Skills Workshops

• Dimensional Analysis, Scientific Notation, and Significant Figures. These techniques are used across disciplines, but especially in the lab sciences. 
  • Dimensional Analysis Practice Problems.
  • Unit prefixes chart. A quick reference for common unit prefixes (kilo-, nano-, etc.), along with suggested mnemonic devices to help with remembering them.
• Logarithms. What are logarithms? How are they used? And why should you care?
  • . This Nature article claims that humans naturally think about numbers logarithmically.
• Word Problems, Percentages, and Direct/Inverse Variation. Tools for translating common English phrases into mathematical notation are widely applicable when tackling word problems. In particular, they can help with interpreting some statements about percentages and about quantities that vary directly or inversely with one another.
• More with Percentages. Distinguishing between percentage changes and percentage point changes.
• Linear Equations and Graphing Etiquette. A review of slope, y-intercepts, and some basic best practices for producing graphs.
• Excel Basics Tutorial. Covers a variety of introductory Excel topics: setting up a spreadsheet, first steps for formatting a data set, sorting data, applying formulas, and making graphs.
• LaTeX Basics Tutorial.  Covers the basics of creating a technical, clean-looking document for your math classes, science classes, or thesis.
  • Â鶹¹ú²úAV's awesome LaTeX Help Page.  
  • Nice LaTeX Cheat Sheet from Dave Richeson at Dickenson College. 

Other Tutorials and Reference Materials

•  has a wide variety of short math tutorial videos and interactive exercises that have the benefit of covering very specific topics, which allows you to focus on learning exactly what you need.
•  uses an "intuition-first approach" to teach a variety of mathematical topics.  This is a great place to go for a big-picture understanding of specific math concepts.
• Cal Newport's  includes many posts on time management, study skills, and test-taking skills, primarily aimed at students in quantitative and technical disciplines. 
• Lamar University has posted some well-formatted and concise cheat sheets . I've linked directly to a few of my favorites below.
  • . This handout includes a long list of mathematical rules you may have learned and forgotten over the years (exponents, fractions, factoring, quadratic formula, etc.). Since you probably don't need all of this information for your current coursework, try highlighting any rules that you do look up so that you can find them more easily next time.
  • . Rules and formulas for working with triangles, the unit circle, sine waves, and trig identities.
  • . Formulas for common shortcuts of differentiation and integration.
• Biology 101/102 Bio Binder (Green Book). The Intro Biology course binder contains a wealth of quantitative skills resources, including help with JMP, the metric system, algebra, graphing, dilutions, fractions, decimals, and percents. The Bio Binder is available on the Biology Department Resource Drive and the instructions on how to add yourself to the shared drive are found here
•  This PDF is viewable only if logged into Google Suite using Â鶹¹ú²úAV credentials.
• . A quick handout from Columbia University, defining the notation and offering a few very basic worked examples.

Working with Data

• . Â鶹¹ú²úAV's Data at Â鶹¹ú²úAV team includes staff from the library, the ETC, and the DoJo. We work as a team to help students with many steps in their data-intensive projects, including data discovery, management, analysis, and citation.