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Jeff Erickson is a computational geometer, topologist, and graphophile who teaches algorithms and theory courses. He has a free textbook, a low GPA, and a passion for computer science education research.
- Research
Jeff Erickson's Research My main research interests are...
- Graduate Algorithms
by Jeff Erickson 🔥1st edition, June 2019 🔥 (Amazon links:...
- Computational Geometry
Jeff Erickson (jeffe@illinois.edu) Lectures Wed Fri...
- Family
Jeff Erickson's home page. My beautiful wife Kim Whittlesey...
- Publications
🔥 FSM Builder: A tool for writing autograded finite automata...
- Jeff Erickson's Most Prestigious Award
My most prestigious award, ever I've won a few awards during...
- By Subject
Jeff Erickson's Publications by Subject Please read the...
- Sohaib and Sara Abbasi Professor
Sohaib Abbasi, BS 78, MS 80, and his wife, Sara, established...
- Research
A free electronic version of a self-published textbook on algorithms, along with other lecture notes for theoretical computer science classes at Illinois. The book covers topics such as recursion, dynamic programming, greedy algorithms, graph algorithms, NP-hardness, and more.
Professor of Computer Science, University of Illinois Urbana-Champaign. Verified email at illinois.edu - Homepage. Algorithms data structures computational geometry computational topology.
Jeff Erickson, Ivor van der Hoog, and Tillmann Miltzow. Smoothing the gap between NP and ∃ℝ. SIAM Journal on Computing , 2023, special section of invited papers from the 61st Annual IEEE Symposium on Foundations of Computer Science.
Algorithms (by Jeff Erickson) Algorithm Design and Analysis (by Dan Gusfield): complete course in iTunes (30 video presentations) MIT OpenCourseWare (algunos cursos incluyen vídeos): Introduction to Computer Science and Programming (2011, by John Guttag) Introduction to Algorithms (2005, by Charles Leiserson and Erik Demaine)
Jeff Erickson, 2019 - Computers - 449 pages. Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old...
Jeff Erickson's Teaching. I mostly teach graduate and advanced undergraduate courses in algorithms, which is why I thought I was qualified to write an algorithms textbook. All of these links used to work, honest. Spring 2024: CS 225: Data Structures, honors section [tentative]
