Paul J. Nicholas, PhD

Systems Engineering & Operations Research Department

Recommended Reading for OR / Analytics Professionals

  • "The Black Swan" by Nassim Nicholas Taleb
  • "The Signal and the Noise" by Nate Silver
  • "Popper Selections" by Karl Popper (edited by David Miller)
  • "How to Read a Book" by Mortimer J. Adler and Charles Van Doren
  • "Against the Gods" by Peter L. Bernstein
  • "How to Measure Anything" and "The Failure of Risk Management" by Douglas W. Hubbard

Recommended References / Textbooks

  • "100 Statistical Tests" by Gopal K. Kanji
  • "Spreadsheeting Modeling and Decision Analysis" by Cliff T. Ragsdale
  • "The Algorithm Design Model" by Steven S. Skiena
  • "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
  • "Handbook of Constraint Programming" edited by Francesca Rossi, Peter van Beek, and Toby Walsh

General Recommendations

  • "Basic Economics: A Common Sense Guide to the Economy" by Thomas Sowell
  • "The Story of Philosophy: The Lives and Opinions of the World's Greatest Philosophers" by Will Durant
  • "Darwin's Dangerous Idea: Evolution and the Meanings of Life" by Daniel Dennett