Kevin Ross

For a summary of my experiences and goals as an educator, please see my Teaching statement (PDF)

Click here for some of my teaching evaluations

Supervised undegraduate research projects

"Simulation studies of controlled stochastic processing networks" (with Aashish Srinivas). Surdna Summer Research Fellowship, Swarthmore College, Summer 2011.

"A study of the free boundary of a two-dimensional singular stochastic control problem" (PDF) (with Leonid Pekelis). VIGRE undergaduate research project, Stanford University, Summer 2008.

Courses for 2011-2012:

STAT 11 - Statistical Methods (Fall 2011) Course information (.PDF)    Course goals (taken from the ASA GAISE college report) (.PDF)
STAT 111 - Statistics Seminar: Mathematical Statistics II (Spring 2012)
Access to course websites via Moodle

Courses for 2010-2011:

STAT 61 - Probability and Mathematical Statistics (Fall 2010) Course information (.PDF)
MATH 105 - Probability Seminar: Stochastic Processes (Spring 2011) Course information (.PDF)
MATH 295 (at Bryn Mawr College) - Probability and Mathematical Statistics (Spring 2011) Course information (.PDF)
Access to course websites via Blackboard

Courses for 2009-2010:

STAT 11 - Statistical Methods (Spring 2010) Course information (.PDF)
MATH 73 - Topics in Analysis: Probability and Measure (Spring 2010) Course information (.PDF)
STAT 61 - Probability and Mathematical Statistics (Fall 2009) Course information (.PDF)
Access to course websites via Blackboard

Courses taught in the past (at Stanford):

STAT219/MATH136 - Stochastic Processes (Autumn 2008)
Course Information (.PDF)
Lecture Notes (.PDF)
Movies: Brownian motion (.AVI)    Convergence of scaled random walks (.AVI)    Poisson process (.AVI)
Lecture slides:

Week 1	Measurable spaces	Random variables	Expected value		Week 6	Martingales	Martingales	Martingales (cont. time)
Week 2	Law of RV, Convergence	Convergence, Uniform integrability	Independence		Week 7	Optional stopping	Optional stopping (cont. time)	Reflection principle
Week 3	Conditional expectation	Conditional expectation	Conditional expectation		Week 8	Martingale convergence	Quadratic variation	Branching processes
Week 4	Stochastic process basics	Gaussian processes	Random walk, Continuity criteria		Week 9	Markov chains	Markov processes	Poisson process
Week 5	Brownian motion	Review (practice midterm sols)	Midterm (sols)		Week 10	Poisson process	Review	Review (practice final sols)

STAT116 - Theory of Probability (Autumn 2008)
Course information (.PDF)

Access to course websites via Coursework

STAT220 - Continuous Time Stochastic Control (Spring 2008)

STAT219/MATH136 - Stochastic Processes (Autumn 2007)

STAT217 - Introduction to Stochastic Processes (Winter 2007)

STAT219/MATH136 - Stochastic Processes (Autumn 2006)

Introduction to Statistics (at UNC-CH). Data analysis; sampling; basic probability (random variables, expected values, normal and binomial distirbutions); hypothesis testing and confidence intervals for means, proportions, and regression parameters; statistical applications using Microsoft Excel. (Spring 2005, Spring 2004, Summer 2003, Spring 2003.)