futureProjects-computerScienceToLearn

Material already "learned" in class that should be reviewed (this has first priority because the reward per unit time is better since I already half understand this stuff):

NameDescriptionStatusNotes
Bayesian networks Stanford course CS228not started read Jensen's book and reread course notes
Read basic AI, ML textbooks Read Rich & Knight, Mitchell, Langley, Manning, Nilsson, Duda et al, Russel & Norvig books cover to cover in the middle of Rich & Knight been dying to read these for years...
Read neural net textbooks Read Bishop, Haykinin the middle of Bishop, on hold
Review quantum computation course notes Stanford used to offer a course by Colin Williams -- it was great not started Maybe should get one of Colin's books 1 2
Review course reader from CS227"Artificial Intelligence Algorithms"not started

New stuff:

NameDescriptionStatusNotes
databases and database theory not started
programming language theory not started
parallel programming/computation read a few overviews of types of parallel computing architectures
stochastic programming not started

Note: the awesome stuff that Vaughn Pratt taught is on mathToLearn, not this page.