Teaching

  • Fall 2017: EEE551 – Information Theory
  • Spring 2017: EEE 598 – Cyber-Security and Privacy in the Smart Grid
  • Fall 2016: EEE202 – Circuits I
  • Spring 2016: EEE350 – Random signal analysis
  • Spring 2015: EEE554 – Random signal theory
  • Fall 2014: EEE202 – Circuits I
  • Spring 2014: EEE598 – Cyber secuirty
  • Fall 2013: EEE554 – Random signal theory
  • Spring 2013: EEE598 – Cyber security

Prior Teaching:
One of my responsibilities as a Princeton CST Fellow was to teach an undergraduate course every year, preferably to non-science majors. I  introduced and taught a new course under the umbrella of the Princeton Freshman Seminar Series with the aim of introducing the fundamental ideas of entropy, compression, and coding, that were developed by Claude Shannon and are the heart of the information revolution, to freshmen.

In Spring 2008, I introduced the Freshman Seminar Course FRS174 titled ‘The Fundamental Ideas of the Information Revolution: Insights into Technology, Language, and Biology‘. I offered it again in Spring 2009. Here is an article published in the Information Theory newsletter, September 2008, describing my first attempt at teaching the course. Here is a detailed description of the course and a list of books and papers I have used.
For the third and final time, in fall 2010, I taught the Richard L. Smith Freshman Seminar FRS173 on ‘The Fundamental Ideas of the Information Revolution: Insights into Technology, Language, and Biology‘. Our guest lecturers for the term included Professors Chris Rose of WINLAB, Rutgers, Michael Berry of Princeton Neuroscience Institute and Molecular Biology, and Elza Erkip of Polytechnic Institute of NYU and they introduced the students to ‘How extra-terrestrials will communicate with us’, ‘Information theory in the brain’, and ‘Information theory and gambling’, respectively.
Here are two publications that developed organically as final term papers: Twitter vs. Printed English: An Information-theoretic Comparison, and Freqency of Occurence and Information Entropy of American Sign Language.