π― My Princeton reads, fall 2026
I use this page to track books and papers Iβve read that are used in Fall 2026 Princeton classes
I connected publicly available information from the online bookstore and course webpages
π» Engineering
βοΈ Iβve read the following:
Computer Science
Intro. to Programming Systems COS 217
- π The Practice of Programming by Kernighan & Pike
- π Unix tutorial β’ A guided tour of Emacs
Algorithms & Data Structures COS 226
- π Algorithms by Sedgewick & Wayne
Mathematics for Numerical Computing & Machine Learning COS 302 / SML/ECE 305
- π Mathematics for Machine Learning by Deisenroth et al.
- π Donβt invert that matrix by John D. Cook
Intro. to Machine Learning COS 324
- π Mathematics for Machine Learning by Deisenroth, Faisal & Ong
- π Linear regression β’ Logistic regression β’ Cross validation β’ Train, test & validation sets β’ Bias variance tradeoff β’ Gradient descent methods β’ Federated learning β’ Attacking machine learning w/ adversarial examples β’ K-means clustering
- π° In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning β’ Dealing w/ bias in artificial intelligence
Functional Programming & Formal Methods COS 326
- π OCaml Programming: Correct + Efficient + Beautiful by Michael R. Clarkson
Advanced Programming Techniques COS 333
- π The Practice of Programming by Kernighan & Pike
Computer Architecture & Organization COS/ECE 375
- π Computer Organization & Design: The Hardware Software Interface by Patterson & Hennessy (my highlights)
Automated Reasoning about Software COS/ECE 516
- π An Axiomatic Basis for Computer Programming by C.A.R. Hoare
Adv. Computer Networks COS 561
- π How to Read a Paper by S. Keshav
Foundational Papers in Networks & Operating Systems COS 597L
- π How to Read a Paper by S. Keshav
- π The Structure of the THE Multiprogramming System by Edsger W. Dijkstra
- π OpenFlow: Enabling Innovation in Campus Networks by McKeown et al.
Chemical & Biological Engineering
Technical Leadership in Engineering CBE/EGR 531
- π Designing Your Life: How to Build a Well-Lived, Joyful Life by Burnett & Evans (my highlights)
π Humanities & the Arts
βοΈ Iβve read the following:
Humanistic Studies
Interdisciplinary Approaches to Western Culture I: Literature & the Arts HUM 216
- π The Consolation of Philosophy by Boethius
- π Apology by Plato
- π The Odyssey by Homer
East Asian Humanities I: The Classical Foundations HUM/EAS/COM 233
- π Analects by Confucius (my highlights)
Between Selves: Living Letters from Antiquity to the Present HUM 416 / CLA 415 / ENG 410
- π The Fire Next Time by James Baldwin (my highlights)
Art & Archaeology
19th-Century European Art: Painting & Literature in 19th C. France & England ART/ECS/COM 450 / HUM 451
- π The Picture of Dorian Gray by Oscar Wilde (my highlights)
Modern Art: Science & Its Fictions in the Long 19th Century ART/HUM 577
- π The Island of Doctor Moreau by H.G. Wells (my highlights)
- π Journey to the Center of the Earth by Jules Verne
- π Frankenstein by Mary Shelley
Classics
Classical Mythology CLA/HUM/GSS/HLS 212
- π Jason & the Golden Fleece by Apollonius of Rhodes
- π The Odyssey by Homer
The Trojan War: A Linguistic Intro. CLA 307 / TRA 306 / LIN 259
- π The Trojan War: A Very Short Intro. by Eric H. Cline
Socrates CLG 105
- π Apology by Plato
English
American Literature: 1930-Present ENG 368 / AMS 340
- π The Road by Cormac McCarthy
- π Maus: A Survivorβs Tale by Art Spiegelman
- π Beloved by Toni Morrison (my highlights)
Junior Independent Work Seminar ENG 397
- π A Room of Oneβs Own by Virginia Woolf (my highlights)
Comparative Literature
The Modern Period COM 318 / ECS 319 / LAS 308
- π A Room of Oneβs Own by Virginia Woolf (my highlights)
Anarchism, Nihilism, Utopia: Art, Literature & Radical Politics COM 351
- π Notes from Underground by Fyodor Dostoevsky (my highlights)
Religion
Religion & the Public Conversation REL 100
- π Religion: A Very Short Intro. by Thomas A. Tweed
Religion, Race & Politics in the U.S. REL 372 / AAS 367
- π The Fire Next Time by James Baldwin (my highlights)
Slavic Languages & Literatures
Pushkin, Gogol, Dostoevsky SLA/RES 219
- π Notes from Underground by Fyodor Dostoevsky (my highlights)
Dostoevsky SLA/RES 416
- π Notes from Underground by Fyodor Dostoevsky (my highlights)
Theater
Intro. to Theater Making THR/MTD 101
- π Waiting for Godot by Samuel Beckett (my highlights)
π Social Sciences
βοΈ Iβve read the following:
History
The Byzantine Empire HIS/MED 205 / HUM 204 / HLS 209
- π Byzantium: A Very Short Intro. by Peter Sarris
Europe from Antiquity to 1700 HIS/MED 211
- π The Prince by NiccolΓ² Machiavelli (my highlights)
American Origins: The Colonization of North America HIS 371
- π The Autobiography of Benjamin Franklin (my highlights)
World After Empire HIS 411 / AAS 416
- π The Wretched of the Earth by Frantz Fanon
- π Darkwater: Voices from Within the Veil by W.E.B. Du Bois (my highlights)
The Age of Democratic Revolutions HIS 487
- π The Birth of the Republic, 1763β89 by Edmund S. Morgan (my highlights)
African American Studies
African American Studies & the Philosophy of Race AAS 201 / PHI 291
- π Beloved by Toni Morrison (my highlights)
- π The Fire Next Time by James Baldwin (my highlights)
The Souls of Black Folk β Reading W.E.B. Du Bois AAS/URB 231 / ENG 245
- π Darkwater: Voices from Within the Veil (my highlights)
Toni Morrison & Her Circle AAS/ENG 320
- π Beloved (my highlights)
Art, Apartheid & South Africa AAS/AFS 411 / ART 471
- π Disgrace by J. M. Coetzee
International & Regional Studies
Landmarks of European Identity EPS/ECS 302
- π Neuromancer by William Gibson (my highlights)
Translation, Migration, Culture TRA/HUM 400 / COM 409
- π Tell Me How It Ends: An Essay in 40 Questions by Valeria Luiselli (my highlights)
Politics
The Just Society POL/CHV 307
- π The Communist Manifesto by Marx & Engels
Causes of War POL/SPI 388
- π The Guns of August: The Outbreak of World War I by Barbara W. Tuchman (my highlights)
Study of America
Native American Literature NAI/AMS 322 / ENG 242
- π Ceremony by Leslie Marmon Silko
Anthropology
Violence ANT/HUM 264
- π The Wretched of the Earth by Frantz Fanon
Public & International Affairs
The Comparative Political Economy of Development SPI 561 / POL 523
- π The State & Capitalism in China by Pearson et al.
π― General
- π Reader, Come Home: The Reading Brain in a Digital World by Maryanne Wolf (my highlights)
First-Year Seminars
Exploring the Graphic Novel FRS 111
- π American Born Chinese by Gene Luen Yang
- π Fun Home: A Family Tragicomic by Alison Bechdel
- π Maus: A Survivorβs Tale by Art Spiegelman
- π Watchmen by Moore & Gibbons
What Makes for a Meaningful Life? A Search FRS 121
- π Manβs Search for Meaning by Viktor E. Frankl (my highlights)
- π Winnie-the-Pooh by A.A. Milne
History of Freedom FRS 137
- βοΈ Letter from Birmingham Jail by Martin Luther King Jr.
Gaslight! Control, Coercion, or Just Conflict?: The Cultural History of a TikTok Term FRS 153
- π The Haunting of Hill House by Shirley Jackson (my highlights)
- π 1984 by George Orwell
Marx in the 21st Century FRS 167
- π The Communist Manifesto by Marx & Engels
American & Russian Science Fiction: Story-Worlds in Dialogue FRS 189
- π Roadside Picnic by Strugatsky & Strugatsky (my highlights)
- π Do Androids Dream of Electric Sheep? by Philip K. Dick
- π I, Robot by Isaac Asimov (my highlights)
- π Brave New World by Aldous Huxley
- π The Time Machine by H.G. Wells
Writing
Imagining Childhood WRI 118
- π A Pocket for Corduroy β’ Corduroy β’ The Giving Tree β’ Where the Wild Things Are β’ Horton Hears a Who!
π¬ Natural Sciences
βοΈ Iβve read the following:
Psychology
Computational Models of Cognition PSY/COS 360
- Neural network models
- π Deep Learning by LeCun et al.
- π ImageNet Classification w/ Deep Convolutional Neural Networks by Krizhevsky et al.
- π Adapting Deep Network Features to Capture Psychological Representations by Peterson et al.
- π Attention Is All You Need by Vaswani et al.
- Bayesian models
- π How to Grow a Mind: Statistics, Structure & Abstraction by Tenenbaum et al.
- π The Discovery of Structural Form by Kemp & Tenenbaum
- π Human-level Concept Learning through Probabilistic Program Induction by Lake et al.
- π Minimization of Boolean Complexity in Human Concept Learning by Jacob Feldman