##### July 2017: A lecture covering the (very classical) Thomson's principle for electric networks at Universität Bielefeld, Germany. This leads up to my moving particle lemma for the exclusion process.

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### CORE 143S: Introduction to Statistics (Spring 2020).

*P.S.:*
The Colgate version of Undergraduate Probability was harder than the UConn version.
I covered more thoroughly transformations of univariate distributions, and assigned the proof of Hoeffding's inequality on the final assignment.

### MATH 3799: Spectral graph theory (Spring 2016).

An independent study course. We covered roughly the first 12 of Dan Spielman's course notes,
some functional analysis (Laplacian ↔ Dirichlet form ↔ semigroup, connection to Markov chains), and Doyle and Snell's "Random walks and electric networks".

### MATH 3160: Probability (Fall 2013, AY 2014-15, AY 2015-16).

Some of the materials I've used in teaching this course have been adapted in the current iteration of MATH 3160. See the UConn Undergraduate Probability OER.

### MATH 2110: Multivariable Calculus (Spring 2014).

## Probability teaching (at UConn)

I taught the Honors version of MATH 3160 (to be renamed MATH 3165 in 2017) in Spring 2015 and Fall 2015.

For a history of Honors probability at UConn, see my report [pdf].

Tom Roby and I recorded Lightboard video lectures for MATH 3160 in Fall 2015, with the assistance of the Center for Excellence in Teaching & Learning. UConn affiliates can access the video catalog using their NetIDs
and passwords. If you are not a UConn affiliate and wish to access the videos, please contact me or Tom.

Back to JPC's teaching page

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