Mikhail Soutchanski, ProfessorPhD in Artificial Intelligence, University of Toronto, Canada
M.Sc. (Diploma with Honors), Moscow Institute of Physics and Technology ( Phys-Tech), State University
Contact information:Email (best way to reach me): mes (at) cs (dot) ryerson (dot) ca
(Warning: sometimes email may not reach my mailbox due to spam filters.
Usually, I read all email and reply as many as I can.)
Skype: time for a talk is to be arranged by email.
245 Church Street, room ENG275 (NE corner, the 2nd floor)
"In theory, theory and practice are the same. In practice, they are not."
"The proper method for inquiring after the properties of things is to deduce them from experiments."
"In questions of science, the authority of a thousand is not worth the humble reasoning of a single individual"
"An error does not become truth by reason of multiplied propagation, nor does truth become error because nobody sees it"
"The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge"
CPS 815 / CP8309:
Topics in Algorithms , an undergraduate course (Fall 2017).
CPS 721: Artificial Intelligence 1 , an undergraduate course (Fall 2017).
CP8314 (Advanced AI) / CPS822 Artificial Intelligence 2: Dynamic Systems in Artificial Intelligence.
A graduate / advanced undergraduate course (Winter 2018).
CPS 841/CP8319: Reinforcement Learning (to be offered in Winter 2019).
A graduate / advanced undergraduate course.
CPS 40A/B: Undergraduate Thesis , a two-term research oriented course (Winter 2016).
CP8310: Directed Studies in Computer Science (Fall 2016), a graduate course.
CPS 616: Analysis of algorithms , an undergraduate course (Winter 2014).
CP8201: Algorithms and Computability, (Fall 2013), a graduate course.
CPS603: Foundations of Semantic Technologies (Winter 2011), an undergraduate/graduate course.
CPS 125: Digital Computation and Programming , an undergraduate course.
Some of my publications