These are my personal auto-generated cliff notes, produced in part with my CMPIF2105 Intelligent Transcriber. I'm sharing them with the rest of the cohort. I'll do my best to keep this repo updated as they are mostly for my own use.
The notes are organized by module:
Cliff Jumper Notes/(each module's notes woven into one connected lesson)Cliff Notes Module 01/(linear algebra from the ground up: linear equations and the lines and planes they draw, vectors, norms and the dot product, lists versus NumPy arrays, matrices as data and as functions, eigenvalues and eigenvectors, and eigenfaces as the payoff)Cliff Notes Module 02/(systems of linear equations: substitution, Gaussian elimination, the inverse and the augmented matrix method, the determinant as the invertibility test, NumPy against SymPy, how a computer stores numbers, and lensing as inversion)
- DatJavaClass (Victor S), author and director. Conceived these notes, established their format and structure, directed their creation, and fact-checked, edited, and quality-controlled every one, with assistance by Claude. Some material may have been derived from assigned material, but has not been copied verbatim. For source materials please contact CMPINF-2105 Faculty and Assistants.
As Always! You're awesome, Stay awesome! and I wish everyone the best of grades!
Can you find the passive aggressive parentheses?
(c) 2026 Victor S (DatJavaClass). Everything in this repo is released under the MIT License. Use it, share it, fork it, remix it. Keep the copyright notice, and keep the credit: these notes were created by Victor S (DatJavaClass) for CMPINF-2105 at the University of Pittsburgh.
