My awesome MEET
students, TA's, co-instructors, & staff
Jerusalem, August 2015
Courses that I have taught for:
New half-semester course for master's in information systems management students on analyzing data such as text and images that lack a pre-defined model and are hence often referred to as "unstructured". The course is heavily practical with all assignments done in Python Jupyter notebooks. Students learn to work with large datasets with the help of cloud computing on Amazon Web Services. I developed a suite of brand new lectures covering basic natural language processing, exploratory data analysis including manifold learning and topic modeling, and predictive data analysis including deep neural networks for analyzing images and time series. I led a team of teaching assistants to put together brand new homework assignments and a final exam.
[edX course]
New intro-college/advanced-high-school-level course covering
introductory probability, probabilistic graphical models, and
learning probability distributions. All three of these main
topics are covered with heavy emphasis on coding. The course
prerequisites are comfort in Python programming and calculus.
I developed nearly all the course notes, 75% of the videos,
numerous new exercises, all the autograders, and a new two-part
final project. This online course is a modified version of the
first half of MIT's 6.008 residential course, which I helped
develop when 6.008 was still in pilot at MIT.
The edX course differs in that its presentation has been made to be
accessible to a much broader audience.
New undergraduate core Electrical Engineering and Computer Science course introducing inference and probabilistic graphical models. I taught for the class during the first two semesters that it had ever been offered. I developed substantial portions of the courseware, including Khan Academy style videos for students, a series of Python robot tracking coding projects, new recitation notes, new problem sets, and more.
Update (Fall 2016): Please see the newer Fall 2016 edX course for publicly available notes, videos, exercises, and more.
[Videos]
Introductory graduate-level course on probabilistic graphical
models. I made Khan Academy style videos and helped typeset the
first complete set of lecture notes for the class. I also
delivered three lectures for the Fall 2013 class.
Update (Fall 2014): After my involvement with the course, the lecture notes I helped write were polished by more recent course staff and are now available on MIT OpenCourseWare.
Undergraduate core Electrical Engineering and Computer Sciences course introducing the math behind processing images, audio, and video, and behind systems for communication (e.g., radio) and control (e.g., robotic manipulators). My third time teaching for this course (Fall 2008), I was the head teaching assistant, managing seven other teaching assistants.