QRC Resource Directory

Quantitative Resource Center, Lawrence University. Version 0.7, updated 2026-10-10. Free, vetted resources for quantitative work. Entries marked ★ are QRC picks.

Short guides

Your first visit to the QRC

QRC guide · 3 min read

Drop-in tutoring is free. You don't need an appointment, and you don't need to have finished the assignment.

Before you come. Bring the problem, your notes, and the textbook or Canvas page it came from. If you can, try the problem first and mark where you got stuck. A half-finished page is fine. So is a blank one.

When you get there. Check the tutor board by the door to see who's on. Sign in, then tell the tutor your course and what you want to be able to do by the time you leave. Tutors often work with a few people at once, so you may start on your own for a few minutes.

What tutors do. They ask questions, work a similar example with you, and check your reasoning. They won't do graded work for you, and they follow your course's collaboration policy.

If drop-in isn't the right fit. To get a tutor for a specific course, request one through Course tutors through Navigate. For time management or study habits, meet with a coach at the Center for Academic Success.

Stuck on a problem? A 10-minute routine

QRC guide · 2 min read

Most "I don't get any of it" turns out to be one stuck step. This routine finds it.

The routine

  1. Write what the problem asks for in your own words.
  2. List what you know: the given values, plus the definitions and formulas from this section.
  3. Find the exact step where you stall. Is it a definition, choosing a method, the algebra, or reading the problem?
  4. Find a worked example of that step in your textbook or in Paul's Online Math Notes. Copy it out by hand, then try yours again.
  5. Check your answer: units, sign, a rough estimate, or a quick graph in Desmos graphing calculator.
  6. Still stuck after 10 minutes? Bring what you wrote to the QRC. Your notes from steps 1–3 make a tutor's job much faster.

Studying for a math exam in 10 days

QRC guide · 4 min read

Cramming feels productive and isn't. Short, mixed practice spread over a week and a half works better.

10 days out. List every topic on the exam from the syllabus or your instructor. Collect two or three practice problems per topic from homework, textbook review exercises, or old exams if your instructor shares them.

Days 9 to 4. Do 30–40 minutes a day of mixed problems, without looking at your notes first. Mixing topics feels harder, and that's why it works (Six strategies for effective learning). Keep an error log: for each miss, write what went wrong and the fix.

Days 3 and 2. Take a timed practice exam. Spend the next day on your error log only, and bring the two hardest problems to the QRC.

The day before. Lightly review your error log and formulas, and read Common math errors. Sleep matters more than one more hour of problems.

Tip. To build a weekly study plan, meet with a coach at the Center for Academic Success.

Getting ready for the ALEKS placement

QRC guide · 3 min read

ALEKS decides where you start in Lawrence math: MATH 102, MATH 103, or calculus (MATH 140).

How it works. ALEKS adapts to your answers, so it measures what you know rather than how many questions you get right. Scores of 75 or more place into MATH 140, 45–74 into MATH 103, and below 45 into MATH 102 (ALEKS math placement).

Take it straight. Use only the tools the test gives you. A placement that's too high makes the course harder, not easier.

Check yourself first. The QRC self-check for MATH 102 or 103 shows which skills to review, with a worksheet for each.

If you want to place higher. After your first attempt, ALEKS gives you learning modules matched to your gaps. To retake the proctored test, wait 48 hours and spend at least five hours in the modules. Khan Academy and Paul's Online Notes: Algebra are good companions.

Not sure which course is right?. Talk with your adviser, or stop by the QRC during drop-in hours.

How to learn from a free textbook

QRC guide · 3 min read

Reading math isn't like reading a novel. Read with a pencil, and expect to go slowly.

The routine

  1. Skim the section headings and the boxed definitions first, so you know where you're going.
  2. For each worked example, cover the solution and try it yourself before reading it.
  3. Do the short practice problems right after each example. In OpenStax books these are labeled "Try It," and answers are in the back.
  4. If your course uses a different book, match by topic, not chapter number. Use the book's search or index.

Tip. Many Lawrence math courses use OpenStax books, so your course text may already be free (OpenStax textbook library). For extra practice with full solutions, the CLP Calculus texts and problem books problem books are hard to beat.

Getting the most out of math videos

QRC guide · 2 min read

Watching someone else solve a problem feels like learning. It only counts once you can do one yourself.

The routine

  1. Watch with paper and pencil, not in bed.
  2. Pause before each step and predict what comes next.
  3. Speed up the parts you know and slow down the parts you don't.
  4. Right after, do one problem on your own with the video closed.
  5. If three videos haven't helped, switch to a person. Come to the QRC.

Tip. Good places to start: Khan Academy for short skill videos, Professor Leonard lectures for full lectures, Essence of Calculus (3Blue1Brown) for the big ideas, and StatQuest for statistics.

Asking your professor for help

QRC guide · 2 min read

Office hours are for every student, not only for students in trouble. Professors like specific questions.

In person. Go to office hours with one or two specific problems and the work you've tried. It's fine to say, "I don't know where to start."

By email. Put the course and topic in the subject line. Say what you tried, ask one clear question, and attach a photo of your work.

Subject: MATH 140, question on 3.4 #12

Hi Professor ___,

I'm working on problem 12 in section 3.4. I used the chain rule (my work is attached), but my answer doesn't match the back of the book. Is my setup right, or could I come to office hours Tuesday to go over it?

Thanks,
[Your name]

Your first shift as a QRC tutor

QRC guide · 3 min read

You don't need to know everything. You need a routine and the confidence to say, "Let's find out together."

Open (three minutes). Ask, "What's your goal today?" and "Show me where it stalled." Agree on at most two things to get done.

Work. Ask for decisions ("What tells you to use substitution here?"). Model one step, do the next together, then let them do one alone. When several students are waiting, give each a next step and rotate.

Close (three minutes). Have the student summarize what they learned in a sentence or two, and suggest when to practice again. Then write the session summary in Navigate.

When you don't know. Say so, and look it up together in Paul's Online Math Notes or the course text. Students learn a lot from watching how you get unstuck.

Tip. The QRC trains to the CRLA tutor training certification (ITTPC) standards. The scenarios in QMaSC Handbook: training and mentoring chapters make good practice.

Sending your students to the QRC

QRC guide · 2 min read

Students come when an instructor they trust names a specific reason to go.

Three things that help most

  1. Put a line about the QRC in your syllabus and on Canvas (sample below).
  2. Send the QRC your exam dates so we can plan review sessions and staffing.
  3. Mention the QRC the week before an exam, and name what tutors can help with.

Link to a topic. Each topic on this page has its own address. Add #calculus, #precalc, #stats, or #foundations to the end of this page's address to send students straight to that topic.

Free help: The Quantitative Resource Center (QRC) offers drop-in tutoring Sunday–Thursday, 6–9 p.m., on the second floor of Mudd Library. No appointment needed. The QRC Resource Directory lists free textbooks, videos, and practice for this course.

Tip. For building quantitative reasoning into your own course, start with Developing quantitative reasoning. For free textbooks, see AIM approved open textbooks.

Which statistics, data science, or CS course comes first?

QRC guide · 3 min read

A map of the course sequences in statistics, data science, and computer science, from the 2026–27 catalog. Check the official course descriptions before you register.

Statistics

  1. Start with STAT 107 (no prerequisite). If you have credit for MATH 140, BIOL 170, or AP Statistics, start with STAT 255 instead.
  2. STAT 255, Statistical Modeling, leads to STAT 455, Advanced Statistical Modeling.
  3. The theory path: MATH 155, then MATH 200 and MATH 230, then MATH/STAT 340 (Probability), then STAT 445 (Mathematical Statistics) or STAT 450 (Bayesian Statistics).
  4. Resources for each course: statistics.

Data science

  1. Start with DASC 110, Data Science I (or ANTH 207 or BIOL 280). Then DASC 210, Data Science II.
  2. DASC 420, Advanced Predictive Modeling, needs STAT 255 and MATH 205 or MATH 250.
  3. STAT/CMSC 208, Statistical Machine Learning, needs one of CMSC 140, CMSC 150, CMSC 205, or DASC 110.
  4. The major also needs MATH 140 and a linear algebra course: MATH 205 (Applied Linear Algebra, after MATH 140) or MATH 250.
  5. Resources for each course: data science and applied linear algebra.

Computer science

  1. Majors start with CMSC 150 (Java). CMSC 140 (Python) is designed for non-majors and also opens CMSC 225 and STAT 208.
  2. CMSC 250 needs a C− or better in CMSC 150, plus an ALEKS score of 75 or a C− or better in MATH 103.
  3. CMSC 270 (Data Structures, in C++) needs a C− or better in CMSC 250. Most 400-level courses need CMSC 270.
  4. CMSC 510 and 515 also need MATH 230. The major needs MATH 140, 155, and 230.
  5. Resources for each course: computer science.

If the math is the problem. CMSC 250 and MATH 205 both lean on the ALEKS 75 level. The QRC self-check shows which skills to work on for MATH 102, 103, 140, and 155.

Tip. Course numbers and prerequisites change. The data science and statistics and computer science course descriptions are the official word.

Start here at Lawrence

I want a person to help me, or I need to take the math placement. Free campus services. These are the first stop when you want a person rather than a link.

Foundations and catching up

I'm rusty on fractions, algebra, or the basics, or I'm preparing for ALEKS. Arithmetic through intermediate algebra. Matches MATH 102 and the early part of MATH 103.

Start here: basics and algebra

QRC guide · 2 min read

Stuck right now · 10 minutes. Name the skill (fractions, exponents, factoring) and search for it on Khan Academy. Watch one video, then do the practice set until you get three in a row.

Behind on a topic · an evening. Read the matching section of Prealgebra 2e or Intermediate Algebra 2e and work the "Try It" problems. Then read Common math errors. Most algebra trouble is on that page.

Rebuilding a skill · a few weeks. Use a Khan Academy unit test or course challenge to find your gaps, then spend 20 minutes a day on only those. Preparing for placement? See Getting ready for the ALEKS placement. Not sure which skills? Take the MATH 102 self-check.

Tip. Fractions and negative signs cause more trouble than anything else at this level. If they feel shaky, start there.

Functions, precalculus, and trigonometry

I'm in MATH 103 or getting ready for calculus. Functions, graphs, exponentials and logarithms, and trigonometry.

Start here: precalculus

QRC guide · 2 min read

Stuck right now · 10 minutes. Graph it. Type the function into Desmos graphing calculator and add a slider for the number you're unsure about. Watch what changes.

Behind on a topic · an evening. Read the matching section of Precalculus 2e, then work examples from Paul's Online Notes: Algebra, which has full solutions.

Rebuilding a skill · a few weeks. Functions, exponentials and logarithms, and trigonometry are the backbone of calculus. Work through Paul's Online Notes: Algebra/Trig Review one topic a day. Not sure which skills? Take the MATH 103 self-check.

Tip. Logarithms trip up many MATH 103 students. A logarithm undoes an exponential: log_b(x) = y means b^y = x. Every log rule comes from an exponent rule.

Geometry and further trigonometry

I want more trig or geometry than precalculus had time for. Laws of sines and cosines, polar coordinates, conics, proofs in plane geometry, and the trig that calculus and physics lean on.

Start here: geometry and further trig

QRC guide · 2 min read

Stuck right now · 10 minutes. Draw it. Label every known side and angle, then decide whether you have a right triangle or need the laws of sines and cosines.

Behind on a topic · an evening. Read the chapter on further applications of trigonometry in Precalculus 2e (laws of sines and cosines, polar coordinates, vectors) or the general-triangles chapter of Trigonometry (Corral).

Rebuilding a skill · a few weeks. For geometry with proofs, work through Book I of Euclid's Elements (David Joyce's edition), constructing each figure in GeoGebra as you go.

Tip. Calculus and physics use the unit circle, the Pythagorean identity, and similar triangles constantly. Time spent here pays off later.

Calculus

I'm in MATH 140 or a calculus course like it. Free textbooks with worked examples, lecture series, and problem books with answers.

Start here: calculus

QRC guide · 2 min read

Stuck right now · 10 minutes. Find your topic in Paul's Online Notes: Calculus I, II, and III and read the worked example closest to your problem.

Behind on a topic · an evening. Read the section in Calculus, Volumes 1–3, then do problems from the CLP Calculus texts and problem books problem books, which give hints, answers, and full solutions.

Rebuilding a skill · a few weeks. Weak algebra is the most common reason calculus feels hard. Spend 15 minutes a day on Paul's Online Notes: Algebra/Trig Review alongside your course. For the big ideas, watch Essence of Calculus (3Blue1Brown). Not sure which skills? Take the MATH 140 or 155 self-check.

Tip. Most calculus mistakes are algebra mistakes. Check Common math errors before you decide you don't understand the calculus.

Multivariable and vector calculus

I'm in MATH 155, or I want to go past it to Green's, Stokes', and the divergence theorems. Vectors, partial derivatives, multiple integrals, and vector calculus: line integrals, path independence, and the big theorems.

Start here: multivariable calculus

QRC guide · 2 min read

Stuck right now · 10 minutes. Find your topic in Paul's Online Notes: Calculus III and read the worked example closest to your problem.

Behind on a topic · an evening. Read the matching section of Calculus, Volume 3 and watch the Khan Academy: Multivariable calculus video on the same idea. The pictures matter more here than in single-variable calculus.

Going past MATH 155 · a few weeks. Path independence, Green's theorem, curl and divergence, Stokes' theorem, and the divergence theorem are all in Chapter 6 of Calculus, Volume 3 and the last chapters of Paul's Online Notes: Calculus III. MIT 18.02SC Multivariable Calculus has problem sets with solutions for all of them.

Tip. Most of vector calculus is one idea: integrating a derivative over a region equals integrating the original function over the boundary. The Fundamental Theorem, Green's, Stokes', and the divergence theorem are all versions of it.

Applied linear algebra

I'm in MATH 205, or I want the matrix math behind regression, PCA, and machine learning. Vectors, matrices, least squares, eigenvectors, and gradient descent, taught through data: regression, principal components, and networks.

Start here: applied linear algebra

QRC guide · 2 min read

Stuck right now · 10 minutes. Watch the matching chapter of Essence of Linear Algebra (3Blue1Brown). Each one is about 10 minutes and shows what a matrix does to space, which makes most of the rules make sense.

Behind on a topic · an evening. Read the matching section of Introduction to Applied Linear Algebra (VMLS), which teaches vectors, matrices, and least squares through data. For pictures you can drag, use Interactive Linear Algebra.

Rebuilding a skill · a few weeks. Build something: fit a line to real data by least squares in Google Colab or R, then by gradient descent, and compare. Introduction to Applied Linear Algebra (VMLS) walks through the first; the Neural networks (3Blue1Brown) videos explain the second. When you want more, MIT 18.065: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning covers the SVD and PCA.

Tip. Three ideas carry most of MATH 205: a matrix is a way to handle many numbers at once, least squares is the best answer to a system with no exact answer, and the gradient points the way downhill.

Linear algebra and differential equations

I'm in MATH 250 or 350, or I need linear algebra or differential equations for physics, chemistry, or economics. Free, well-regarded texts and video series for proof-based linear algebra and ordinary differential equations.

Start here: linear algebra and differential equations

QRC guide · 2 min read

Stuck right now · 10 minutes. Watch the Essence of Linear Algebra (3Blue1Brown) video on your topic to see the geometry.

Behind on a topic · an evening. Read the section in Understanding Linear Algebra and do its activities. For differential equations, use Paul's Online Notes: Differential Equations.

Rebuilding a skill · a few weeks. MIT 18.06SC Linear Algebra is a full course with problem sets and solutions.

Tip. Many linear algebra questions get easier when you ask what the matrix does to a vector.

Proof, logic, and discrete math

I'm in MATH 230, learning to write proofs, or working with formal logic. Symbolic reasoning: proofs, sets, logic, counting, and graphs.

Start here: discrete math and proofs

QRC guide · 2 min read

Stuck right now · 10 minutes. Write out the definition of every term in the statement. Most proofs begin by unpacking definitions.

Behind on a topic · an evening. Read the matching section of Discrete Structures, then the chapter of Book of Proof on the method you're using: direct proof, contrapositive, contradiction, or induction.

Rebuilding a skill · a few weeks. Work a few exercises from each proof-technique chapter of Book of Proof. Bring drafts to the QRC. Proof writing gets better with a reader.

Tip. Before you try to prove something, test it on small examples. They often show you why it's true.

Statistics and probability

I'm in STAT 107, 255, or 340, or I'm using statistics in psychology, biology, or economics. Lawrence's statistics sequence runs from STAT 107 or STAT 255 through probability (MATH/STAT 340) to mathematical, Bayesian, and advanced modeling courses.

Start here: statistics

QRC guide · 3 min read

Stuck right now? Find the idea in Seeing Theory and play with the picture until the definition makes sense. Then find your course below.

STAT 107 · Principles of Statistics. OpenIntro Statistics covers the whole course, with guided practice that has answers. The apps in Art of Stat web apps simulate what confidence intervals and p-values mean. Have credit for MATH 140, BIOL 170, or AP Statistics? Take STAT 255 instead.

STAT 255 · Statistical Modeling. Start with STAT 255 course notes, Lawrence's own notes. For more practice with permutation tests and the bootstrap, use StatKey and Introduction to Modern Statistics. Statistical Inference via Data Science (ModernDive) does regression and resampling in R, and StatQuest has a short video on nearly every model.

MATH/STAT 340 · Probability. Statistics 110: Probability (Harvard) has lectures, practice problems with solutions, and a free textbook. Introduction to Probability (Grinstead and Snell) has more worked examples. The course needs MATH 200 and 230: brush up on series in Paul's Online Notes: Calculus I, II, and III and counting in Discrete Structures.

400 level · STAT 445, 450, 455. Bayes Rules! for Bayesian statistics (STAT 450) and Beyond Multiple Linear Regression for generalized linear and multilevel models (STAT 455). For STAT 445, the resampling chapters of STAT 255 course notes and Introduction to Modern Statistics build the intuition for permutation tests and bootstrap intervals that the course makes rigorous.

Tip. Not sure which course comes next? See the course-sequence guide, or check the official course descriptions.

Data science

I'm in DASC 110, 210, or 420, STAT 208, or CMSC/STAT 205, or I'm working toward the data science major or minor. Data work in R from Data Science I through predictive modeling: importing, wrangling, visualizing, modeling, and sharing results.

Start here: data science

QRC guide · 3 min read

Stuck on code right now? Copy the exact error message into a search, then check the matching chapter of R for Data Science (2e). Most errors in a first course are a missing package, a typo in a column name, or a missing comma. Then find your course below.

DASC 110 · Data Science I. Work through R for Data Science (2e) alongside the course, in Posit Cloud if you don't want to install anything. Data Science in a Box has slides and exercises on the same topics, including data ethics.

DASC 210 · Data Science II. Functions and iteration are in R for Data Science (2e). For the newer pieces: Text Mining with R for text data, Mastering Shiny for interactive apps, and Happy Git and GitHub for the useR for Git and GitHub.

STAT 255 · Statistical Modeling. See the statistics page. Start with STAT 255 course notes and Statistical Inference via Data Science (ModernDive).

STAT 208 and DASC 420 · Machine learning and predictive modeling. An Introduction to Statistical Learning is the standard text, with R and Python labs. Tidy Modeling with R shows how to fit and compare models in R. DASC 420 also needs MATH 205 or 250: see applied linear algebra.

CMSC/STAT 205 and 405 · Data-scientific programming. Start with R for Data Science (2e). For STAT 405, Advanced R and R Packages explains how R works underneath and how to write your own package.

Tip. Keep your raw data in its own file that you never edit, and put every cleaning step in code. Then you can always rerun your analysis from the start.

Computer science and programming

I'm in an intro CMSC course, learning Python, Java, or C++, or heading into data structures. Free books, visualizers, and practice for the intro sequence: Python (CMSC 140 and 210), Java (CMSC 150 and 250), and C++ (CMSC 270), plus the web (CMSC 106) and databases (CMSC 225).

Start here: computer science

QRC guide · 3 min read

Stuck right now? Cut your program down to the smallest piece that misbehaves, paste it into Python Tutor (it handles Python, Java, and C++), and step through it line by line. Then find your course below.

CMSC 140 and 210 · Python. Think Python (3rd ed.) is short and clear, and runs in Google Colab. Python for Everybody has videos for every chapter. CMSC 210 adds numerical work: see applied linear algebra for the matrix side.

CMSC 150 · Introduction to Computer Science (Java). Read the early chapters of Introduction to Programming Using Java. CS50x: Introduction to Computer Science is a good second explanation of loops, functions, and arrays, even though it isn't in Java.

CMSC 250 · Intermediate Programming (Java). The later chapters of Introduction to Programming Using Java cover GUIs, exceptions, threads, networking, and files, in about the order the course does.

CMSC 270 · Data Structures (C++). LearnCpp.com for the C++ itself, Open Data Structures for the data structures, and VisuAlgo to watch trees, heaps, and graph algorithms work.

CMSC 106 and 225 · The web and databases. MDN: Learn web development for HTML, CSS, and JavaScript. SQLBolt for SQL.

Beyond · CMSC 510 and 515. Both need MATH 230: see discrete math and proofs. Open Data Structures and VisuAlgo still help with algorithm analysis.

Tip. Read the first line of an error message slowly. It usually names the file, the line, and what went wrong. The Missing Semester of Your CS Education teaches the command line and Git that courses often assume.

Data, spreadsheets, and code

I need Excel, R, or Python for a class, a thesis, or a job, outside the data science and CS sequences. Free lessons and in-browser tools for getting a project done. No installation needed for most of these.

Start here: Excel, R, and Python

QRC guide · 2 min read

Stuck right now · 10 minutes. Search for the exact task or error message, such as "Excel VLOOKUP" or "R read csv." Then check the official help in Excel help and learning or R for Data Science (2e).

Behind on a topic · an evening. New to Excel? Start with Excel tutorials (GCFGlobal). For R, read the first chapters of R for Data Science (2e) in Posit Cloud, with nothing to install. For Python, use Python for Everybody in Google Colab.

Rebuilding a skill · a few weeks. Pick one tool and one small project with your own data. The Software Carpentry lessons lessons are built for exactly this.

Tip. Keep your raw data in its own untouched file, and do all your cleaning in a copy.

Quantitative work in the sciences

The math in my physics, chemistry, or biology course is the problem. Units, equations, and models as they show up in science courses.

Start here: math in science courses

QRC guide · 2 min read

Stuck right now · 10 minutes. Check the units. Write every quantity with its units and see whether they combine into the units of the answer.

Behind on a topic · an evening. Work the matching module of The Math You Need, When You Need It (unit conversions, rearranging equations, logarithms). Look up the concept on HyperPhysics or Chemistry LibreTexts.

Rebuilding a skill · a few weeks. If algebra is the bottleneck, work through basics and algebra alongside your science course.

Tip. Solve the equation for the unknown before you plug in numbers. It's easier to check and to reuse.

Quantitative work in economics and social science

I need the math behind economics, or real data for a project. Open economics texts and reliable public data sources.

Start here: math in economics

QRC guide · 2 min read

Stuck right now · 10 minutes. Sketch the graph. Most introductory economics problems are about a slope or the point where two lines cross.

Behind on a topic · an evening. Read the appendix on graphs in Principles of Economics 3e, then the matching chapter of The Economy 2.0 (CORE Econ).

Rebuilding a skill · a few weeks. Practice with real data: download a series from FRED economic data and chart it in Excel (help with Excel).

Tip. A rate that goes from 4% to 5% rose one percentage point, which is a 25% increase. Say which one you mean.

Graphing and computing tools

I want to graph something, check an answer, or explore an idea. Free calculators and math software. Check your course policy before using them on graded work.

Start here: graphing calculators

QRC guide · 1 min read

Stuck right now · 10 minutes. Open Desmos graphing calculator, type your function, and add sliders for the constants.

Behind on a topic · an evening. Use tools to check your work, not to replace it. Solve by hand, then confirm with Wolfram|Alpha or GeoGebra.

Tip. Follow your course's policy on which tools are allowed for graded work.

How to study math

I put in the hours but it isn't sticking, or math makes me anxious. Research-based study strategies and resources on math anxiety and mindset.

Start here: studying and math anxiety

QRC guide · 2 min read

Stuck right now · 10 minutes. Try the 10-minute routine for when you're stuck.

Behind on a topic · an evening. Read the Six strategies for effective learning posters on retrieval practice and interleaving. Then test yourself on last week's material without notes.

Rebuilding a skill · a few weeks. Plan your next exam with the 10-day exam plan. If anxiety gets in the way, youcubed has good reading on math mindset, and a coach at the Center for Academic Success can help you make a plan.

Tip. Feeling anxious about math is common and doesn't mean you're bad at it. If anxiety is affecting more than math, campus counseling services can help.

Writing and presenting quantitative work

I have to write up math, make a chart, or present results. Typesetting, data visualization, and writing with numbers.

Start here: writing up math and making charts

QRC guide · 2 min read

Stuck right now · 10 minutes. For a chart, write the one sentence you want it to say, and use that sentence as its title.

Behind on a topic · an evening. To typeset math, work through Learn LaTeX in 30 minutes. For charts and posters, see the Communication handouts, including data visualization.

Rebuilding a skill · a few weeks. Read Quantitative writing on writing with numbers, and take a draft to writing tutoring (Course tutors through Navigate).

Beyond the course

I'm preparing for the GRE, or I want numbers to make sense in everyday life. Graduate admissions tests and quantitative reasoning for its own sake.

Start here: the GRE and everyday math

QRC guide · 1 min read

Behind on a topic · an evening. Take one free official practice test from Official GRE prep materials to see where you stand.

Rebuilding a skill · a few weeks. Review the topics you missed with Khan Academy, and bring problems to the QRC. For everyday numbers, the finance chapter of Contemporary Mathematics covers interest, loans, and budgets.

Tutoring practice and training

I tutor (or want to) and want to get better at it. Standards and materials for peer tutors and the people who train them.

Teaching quantitative reasoning

I teach a course with quantitative content, in any department. Free guides, activities, and open textbooks for faculty.

Running a quantitative center

I support or plan quantitative learning at Lawrence. The professional literature on quantitative and math support centers.