The fundamentals, written by hand

• uthreads — user-level threads library — context switching, preemptive round-robin scheduler
• MapReduce framework — multithreaded, with barriers and atomic counters
• Virtual-memory simulator — hierarchical page tables, page faults, frame eviction
• Cache-latency benchmark — measures RAM access times until the CPU cache hierarchy appears in the plot

• Generic Markov chain library — hand-built polymorphism in raw C — void* + function-pointer vtables, valgrind-clean
• Markov tweet generator — an n-gram language model, years before that was fashionable

• A computer from first principles — logic gates → ALU → RAM → working CPU
• VM translator — stack-based VM code compiled down to assembly

• IML Hackathon — predicting bus passenger loads on real Israeli transit data — the course that spawned the IML Visualizer

• Bricker — Breakout where every brick carries a pluggable strategy — design patterns you can play
• Tic-Tac-Toe tournament — engine with hand-built AI players
• ASCII art converter — images to text art; plus a small ChatterBot

• Full training pipeline — loss analysis, decision boundaries, learning rates — through to anomaly detection

• Voting analysis — real elected-officials data, optimized queries, full schema design

• Boggle — full GUI game with dictionary validation — still runs (below)
• Snake — the classic, built properly

Specifications, design documents, and a team final project — the spec-first habit every app on this site inherits started here.

Graphs, greedy, dynamic programming, network flows.

Trees, heaps, hashing, amortized analysis.

Limits through multivariable — the full sequence.

Vector spaces, eigenvalues — the math underneath the machine learning above.

Logic, combinatorics, graph theory.

Equilibria, mechanism design, and the algorithms behind them.