Roam

V.I. Bogachev, Measure Theory, Springer, 2007. Two volumes.

Volume I covers constructions and extensions of measures, the Lebesgue integral, operations on measures and functions, the spaces \(L^p\) and spaces of measures, and connections between the integral and derivative. Volume II covers measures on topological spaces, weak convergence, transformations of measures and isomorphisms, conditional measures, and ergodic theory.

Solutions to the Volume I exercises live at Solutions to Bogachev’s Measure Theory, Volume 1.

λambda — Learner-Adaptive, Marks-Bound Drilling Agent — is a study tool that keeps a working image of your mind: what you hold, where you stall, and which exam marks each gap is costing you. It probes before it teaches, teaches only what you missed, and drills until the fix survives a variant. The protocol is open source at lambda-agent; the hosted study lounge is being built at lambda.fatfort.com.

Arcade Express is a modern and lean treatment of classical games — 23 of them, in the browser, with no ads and no subscription. Chess, Go, Sudoku, Tetris, Hashiwokakero, Othello, Peg Solitaire and the rest, each written from scratch rather than wrapped.

Everything about the Hario V60 is a refusal to make decisions on your behalf. It is a cone, some ribs, and a hole — no valve, no basket geometry slowing the water down, no reservoir metering the flow. The dripper controls nothing, which means the person holding the kettle controls everything: grind, temperature, ratio, and the shape of the pour itself. How the bean got to your kitchen in the first place is told in a history of coffee; this treatise is about the last four minutes of that thousand-year journey.

tutorsfirst is an Australian tutoring marketplace — find a trusted, verified tutor by subject, level and suburb. Browsing is free, tutors list free and keep 100% of their lesson fees, and students pay one small flat connection fee to swap contact details. No subscriptions, no commission.

fat-fort is an early-stage effort in adversarial machine learning and computer-vision robustness — auditing where models break, and how to certify that they don’t. Built in the open, honest about the stage: no invented clients, no borrowed logos, no certifications that don’t exist yet.

The mark is a 2×2 grid whose corners read TT · TF · FT · FF. fat-fort is the FF corner (in red); its sibling tutorsfirst is the TF corner — two cells of the same matrix.

Exam-paper library. Lives as a relative-symlink overlay over ~/Documents (originals untouched). Built/maintained by ~/dotfiles/lattice/.

Where#

Collection

~/lattice/3-resources/past-papers/

Index (auto)

~/lattice/_meta/past-papers-index.org

Backed-up store for NEW papers

~/Documents/past-papers/

How to use#

Add a paper

lattice add <file> (prompts subject/year/school/type, files + symlinks + reindexes)

Rebuild overlay

lattice apply

Regenerate index

lattice index

Check link health

lattice doctor

Convention#

<subject>/<year-level>/<stream>/<year>-<school>-<type>[--solutions].pdf

3412 papers as of 2026-05-30.

“Conditions that create challenges for the learner and appear to slow the rate of learning often enhance long-term retention and transfer.” —Robert A. Bjork

Interleaving is the practice of mixing different topics, problem types, or skills within a single study session, rather than studying one thing to completion before moving to the next. Its opposite—studying in long, single-topic runs—is called blocked practice. Interleaving is the third of the three pillars of durable learning, alongside active recall and spaced repetition, and like its siblings it is counter-intuitive: it feels worse while you do it and works better when it counts.

here is an assortment of various courses from UNSW.

I only write brief notes on some courses here – very brief – only enumerations of Prescribed texts and maybe some term offering information.

There will not be any copyrighted material found here for you to pirate. Only a repackaging of some course-outline accessible information.

Math#

MATH2801#

Introduction to Mathematical Statistics

MATH2901#

• All of Statistics, by Wasserman
• Mathematical Statistics & Data Analysis by Rice
• A first look at rigorous probability theory, by Rosenthal

MATH3371 - Numerical Linear Algebra#

• Peter J. Olver and Chehrzad Shakiban, Applied Linear Algebra, Second Edition, Springer 2018.

(Digital copy P 512.5/244)