For Tulane math students
Resources
Things we keep recommending: course planning, proof writing, LaTeX, REUs, grad school, and more. Curated by students, updated as we go.
- LaTeX
Beginner's LaTeX Guide
Install TeXShop / MacTeX (Mac), MiKTeX (Windows), or TeX Live (Linux), pick an editor, and write your first problem set. Includes a starter template and an Overleaf vs. local comparison.
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- Putnam
Putnam Study Resources
Books, problem archives (Kedlaya, AoPS, official MAA), topic-by-topic study advice, and a four-week starter plan. Built for first-time competitors.
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- Coursework
Math Course Planning Guide
Tulane's math curriculum, proof-based vs. applied tracks, prereqs, and recommended sequences. Maintained by the Department of Mathematics.
- Proofs
How to Prove It
Daniel Velleman's classic textbook. The standard first proof book at Tulane: logic, set theory, induction, and how to write the dreaded epsilon-delta proof clearly.
- Proofs
Tulane Proof-Writing Handouts
Short PDFs from Math 3050 and 3070 (Intro to Proof) on common proof structures, when to use induction vs. contradiction, and how to avoid the word "clearly".
- Research
REU Search (NSF)
The official NSF Research Experiences for Undergraduates directory. Filter by math, statistics, or applied math. Most applications open in November and close in February.
- Research
MathPrograms.org
Where most math REUs and summer schools post their applications. Make an account once; reuse it for every application.
- Grad School
Mathematics GRE & Grad School
AMS guide to applying to math PhD programs: statements, recommendations, the subject GRE (or not), and how to choose programs that fit how you actually like to work.
- Careers
AMS Career Resources
Where math majors land outside academia: quant finance, data, software, actuarial, policy. Profiles, interviews, and starting-salary data from the American Mathematical Society.
- Careers
SIAM Careers in Applied Math
Stories from people who use math in industry. Especially useful if you're interested in operations research, modeling, scientific computing, or biostatistics.
- Books
Recommended Reading
Books we keep recommending. From How to Prove It and How to Solve It to Visual Complex Analysis, A Mathematician's Apology, and Spivak's Calculus.
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