In my teaching, I aim to engage learners in a conversation about the material. I take care to practice the strategies for creating an inclusive computer science learning environment I learned in the Carpentries instructor Training.
Machine Learning for Science and Society
Programming for Data Science Fall
In teaching CSC/DSP310 the second time, I made minor revisions to reinforce understanding for students through:
more code inspection
more authentic tasks in assignments
In teaching CSC/DSP310 the first time, I made major revisions to a more learner-centric format:
participatory live coding instruction
mastery based grading
more, smaller assignments
Packaging and Publishing in Python
a lesson on how to organize, package, and document a python project in the Carpentries Incubator
Data & Society
Brown University MS in DS
Software Carpentry Workshop at UCSF
I taught the python sections of the two day Software Carpentry workshop hosted by the UCSF Library March 10-11, 2018.
I used the SWC Python Gapminder curriculum with minor modifications to emphasize extra features of jupyter notebooks. I used github to manage the student downloads (by .zip files) and the final post workshop content and documented the process I used to for setup with this jupyter notebook.
Bayesian Nonparametric Guest Lectures
I guest lectured in my PhD adviser Jennifer Dy’s graduate machine learning course. I taught two lectures, the first introducing bayesian nonparamerics with the Dirichlet Process/ Chinese Restaurant Process and the second extending to the Indian Buffet Process.