@s3nhxx

Boltzmann in his original publication writes the symbol E (as in entropy) for its statistical function. Years later, Samuel Hawksley Burbury, one of the critics of the theorem, wrote the function with the symbol H, a notation that was subsequently adopted by Boltzmann when referring to his "H-theorem"

@Suav58

19:07  To celebrate work of Hartley.  Hartley himself, anecdotally, hated probabilities, still he made great contributions to information theory.

@GoldenWingsLittleBirds

This YouTube Channel is lovely. I like the Oxford Mathematics Youtube Page very much

@user_user1337

That's how an information theoretician ought to look like!

@Zikkou_1

Go grab your notebook this will be a good one for sureeee 
ty oxford

@adamferrell505

This is magnificent on the part of Oxford University.

@mikezybura9388

Claude Shannon, GOAT of information theory, unknown son of Petoskey, Michigan.

@debasishmishra7149

Simple and straight forward. Thank you @Oxford Mathematics.

@peterO73

So if he gives that lecture 52 times the first example with the new random variable is gonna fail right? "This is a new random variable. Ooh look, it's the same card." 04:15

@anuardalhar6762

I did this course  (Information Theory) under Signal Processing and Telecommunication System for B Eng in Electrival and Electonic  Engineering degree. Does Oxford University do this course under Mathematics degree?

I am just wondering whether this course is taught under Engineering department like me in the UK.

@angelxmod3

Is there a website that shows which full courses are available? Or do they only upload these as examples so you apply to the school?

@JJGhostHunters

Is there an agreed upon definition of "guessing entropy" used in side channel analysis via template attacks?  I know it is off topic, but I believe it would somehow be extension of information theory principles.  I could of course be wrong.

@kahnzo

Is the formula at 34:00 an error?

@guruprasad2409

Please explore semantic communication.

@raxirex8646

Great stuff

@MaheshPatil-lr7wv

Pls upload whole cource

@DrabOliveGreen

Speaking of communication, this is a REALLY good case in which a well-prepared (NB) slide deck would improve delivery and help lecturer and students pay more attention to message than medium! Chalk boards can then be used for digression, Q&A etc.

@pietroghillani6743

Would it be possible to add in the description info regarding the two textbooks that the lecturer mentions at the beginning? The lecture notes would also be interesting to have (but I understand if they are only for the enrolled students).

@devgumdrop3700

What does p(X) mean? p(x) = P(X=x) which makes sense (the probability of the random outcomes being x). It's used in the definition of entropy in terms of the expectation H(X) = E[-log p(X)]?

@Drkttv-b2d

Beautiful lectures! Any chance we can get our hands on Mr. Cohen‘s lecture notes?