**
PROBABILITY COURSES
**

Besides being a basic area of Mathematics and providing the theoretical
foundation for Statistics, Probability is also used in a rapidly growing
number of applications in the physical, biological, social and engineering sciences.
Such applications often require the development of new theory
and need scientists and engineers trained in the fundamental techniques of
probability.
For a summary of probability graduate courses offered by the
Mathematics Department, click here.
For details on the Probability and Statistics
undergraduate Bachelor of Science major, click here.

** R. J. WILLIAMS: COURSES **
MGTF 413 (Rady School, Master of Finance),
Computational Finance Methods (Winter 2019)
Math 288C, Stochastic Systems Seminar, Winter and Spring, 2019.
Math 285, Introduction to Stochastic Processes, Spring 2019.
** PAST COURSES **

**
**** (PAST) COURSES FOR 2017-18: R. J. WILLIAMS **

(PAST) COURSES FOR 2015-2017: R. J. WILLIAMS

(PAST) COURSES FOR 2013-2015: R. J. WILLIAMS

(PAST) COURSES FOR 2012-2013: R. J. WILLIAMS

(PAST) COURSES FOR 2011-2012: R. J. WILLIAMS

(PAST) COURSES FOR 2010-2011: R. J. WILLIAMS

(PAST) COURSES FOR 2008-2009: R. J. WILLIAMS

(PAST) COURSES FOR 2007-2008: R. J. WILLIAMS

(PAST) COURSES FOR 2006-2007: R. J. WILLIAMS

(PAST) COURSES FOR 2005-2006: R. J. WILLIAMS

(PAST) COURSES FOR 2004-2005: R. J. WILLIAMS

(PAST) COURSES FOR 2003-2004: R. J. WILLIAMS

(PAST) COURSES FOR 2002-2003: R. J. WILLIAMS

**
(PAST) COURSES FOR 2000-2001: R. J. WILLIAMS
**

(PAST) COURSES FOR 1999-2000: R. J. WILLIAMS

** **** (PAST) COURSES FOR 1998-1999: R. J. WILLIAMS
**

**
**** **** MATHEMATICS AND COMPUTATION
**
** Links to web pages describing
the innovative use of computers in
some courses and research in the UCSD Mathematics Department. ** This
project
has received support from INTEL and GenCorp Foundation.

** **
RELATED ITEMS
**
**** Student Link
**** Academic Computing and Media Services -- Classroom Information
****Academic
calendar for UCSD
****Some errata for Introduction to Stochastic
Integration, by K. L. Chung and R. J. Williams, 2nd edition, Birkhauser,
Boston, 1990. **

**
Introduction to the Mathematics of Finance, R. J. Williams, 2006,
available from the American
Mathematical Society. For some additional information including a list of
errata and hints,
click here.
**

** PROBABILITY RELATED LINKS**
** ****
Susan Holmes' Probability by Surprise Project: Java Applets for use with a probability course.
**** **** David Spiegelhalter's webpage
containing links on understanding uncertainty and risk.
**** ****
Hans Rosling's presentations at TED 2006, 2007
on animating data.
**** **** Philip Stark's
SticiGui: Statistics Tools for Internet and Classroom Instruction with a Graphical User Interface.
**** The Probability and
Statistics Object Library -- Library of Applets and Components as
resources for teachers and students of probability and statistics.
**** **** Chance web page**
** **** Introduction to Probability by C. M. Grinstead
and J. L. Snell. This includes links to some Java Applets to go
with the book.
**** David Griffeath's Primordial Soup Kitchen and Graphical Aids
for Stochastic Processes **
** **** Computer Intensive Methods in Statistics, Susan Holmes' web page on this topic.
**** **** Stochastic Differential Equations
**
** Mathematics of Finance **
** Bioinformatics and Biosystems **

TEACHING RELATED LINKS
** First-order principles for college teachers, summary of book by
R. Boice, 1996.
****
Walter Mischel's Marshmallow Experiment on self-control and success.
**

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