MATH 595/740, FALL 2020, Entropic Infoprmation Theory


Instructor: Vojkan Jaksic, BURN 1222, 398-3827, vojkan.jaksic@mcgill.ca
Web page : The course documents will be posted on this web page along with the announcements
so you are urged to consult this site regularly.
Marking scheme : Your mark will be based on a take home final exam.
About the course :
The course concerns modern entropic information theory centred around coding algorithms. It will follow the book “The Ergodic Theory of Discrete Sample Paths” by Paul C. Shields AMS Graduate Studies in Mathematics, Vol 13, 1996, with digressions concerning more recent developments. The course will continue with a research seminar in the Winter 2021. Various research opportunities (post-doctoral, PhD, masters, and undergraduate level) related to the material of the course and the seminar will be available starting Summer 2021. Besides the students in mathematics and statistics, this course might be of interest to mathematically inclined students in electrical engineering and computer science. Staring with the seminal work of Shannon, most of the central topics of the course originated in the field of electrical engineering/information transmission.
In the event of extraordinary circumstances beyond the University's control,
the content and/or evaluation scheme of this course is subject to change.

Academic integrity : McGill University values academic integrity.
Therefore all students must understand the meaning and consequences of cheating,
plagiarism and other academic offences under the code of student contact and
disciplinary procedures (see www.mcgill.ca/integrity for more information).