Mathematics 5010 - 1
Introduction to Probability

Fall 2004, The University of Utah
Dr. David A. Levin




Probability is a branch of mathematics, having intrinsic interest of its own, but also having powerful applications in computer science, finance, genetics, electrical engineering, operations research and industrial engineering, physics, economics, and statistics, to name a few fields. It also has applications within mathematics to fields such as combinatorics, analysis, and geometry.

In this class, you will learn how to calculate and estimate probabilities.  Click here for more information.


Examples of questions we will learn how to answer: (Under construction).
  1. Many applied problems can be modelled as simple random walks. This is a random process which moves either up or down at each unit of time according to a (possibly biased) coin flip. What is the chance that such a walk reaches height b before sinking to 0, when starting at a?
  2. Some algorithms are much slower in the worst case than in the average case (quicksort, for example). Can we use randomization to guard against the worst case?
  3. Suppose you have available a noisy channel over which you wish to communicate. What is the maximum data rate at which you can reliably send data?
  4. Ordinarily, in the game of blackjack, the player is payed 1.5 times her bet if she receives a blackjack, an ace with a 10-valued card. Many single-deck games on the Las Vegas strip now pay (6/5) times your bet for a blackjack. How much worse is this version of the game?