Department of Mathematics Syllabus
This syllabus is advisory only. For details on a particular instructor's syllabus (including books), consult the instructor's course page. For a list of what courses are being taught each quarter, refer to the Courses page.
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MAT 235C: Probability Theory
|When taught:||Spring, every year (alternating years, supposed to be taught by Dept of Statistics)|
|Suggested text:||Probability: Theory and Examples, by Rick Durrett ($70 ISBN: 0534424414)|
|Units/lectures:||4 units; lecture/term paper or discussion|
|Prerequisites:||MAT/STA 235B or consent of instructor.|
|2 weeks||Weak convergence of measures on metric spaces|
|3 weeks||Brownian motion|
|5 weeks||Selected topics|
For weak convergence of measures, some supplemental text is probably necessary (such as Billingsley's "Convergence of Probability Measures").
Recent selected topics include: Hausdorff measures, mixing times for Markov chains, random walks and electrical networks.