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05:56 CIO update to ISG 8th Oct 2020 CIO update to ISG 8th Oct 2020	CIO update to ISG 8th Oct 2020 CIO update to ISG 8th Oct 2020 cio staff restrictions yesterday student sector manager 25th members government times isg events team questions event week virus areas board transport From Gavin McLachlan on October 8th, 2020 2 likes 278 plays 0 Licence Type All rights reserved The University of Edinburgh
14:52 Hornsby’s Objection Hornsby’s Objection	Hornsby’s Objection Phil Methods 1: Week 1, part 4 philosophy kind hornsby things agency events agent picture actions agents paper sense argument point universe experience element capacity exercises desire event From Dave Ward on September 18th, 2020 0 likes 39 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created September 18th, 2020
27:12 Supporting the Student Community Events (CC) Supporting the Student Community Events (CC)	Supporting the Student Community Events (CC) PLEASE NOTE - subtitles to follow This session will be about Moray House Community Events. These are events organised by students and staff for students and staff. Moray House has a wonderfully… moray house community moray house school of education and sport events student week students things sessions experience sharepoint bit slide event phd 30th topics staff place edinburgh food presentation thing From Emily Birtles on September 18th, 2020 0 likes 11 plays 0 Publisher Emily Birtles Licence Type All rights reserved Language British Date Created September 18th, 2020
06:48 CIO update 18th Sept 2020 CIO update 18th Sept 2020	CIO update 18th Sept 2020 CIO update 18th Sept 2020 cio students week staff application library campus concerns isg 28th libraries numbers spaces study society team event weeks colleagues test nhs From Gavin McLachlan on September 18th, 2020 3 likes 284 plays 0 Licence Type All rights reserved The University of Edinburgh
10:20 Topic 26: Introduction to Random Vectors (PETARS,… Topic 26: Introduction to Random Vectors (PETARS, Chapter 5)	Topic 26: Introduction to Random Vectors (PETARS, Chapter 5) A short introduction to random vectors, why multiple random variables occur as a group, and some example applications of random vectors. A graphical representation of a random vector which builds… pgee11164 vector probability variables function coin distribution vectors experiment event aircraft density outcomes element variable outcome lecture interval notation n. space From James Hopgood on September 9th, 2020 0 likes 62 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 9th, 2020
20:31 PSR 1 Lecture 5 Part 2 PSR 1 Lecture 5 Part 2	PSR 1 Lecture 5 Part 2 Part 2 Fine Tuning Lecture: The Fine Tuning Argument psr 1 fine tuning argument cosmology probability argument explanation creator probabilities clouds horizon universe values tuning inference background knowledge evidence hypothesis parameters space rule chance event From Johanna Wolff on September 7th, 2020 0 likes 51 plays 0 Course Code PHIL 11160 Licence Type All rights reserved The University of Edinburgh
16:12 Topic 18: Introduction to Random Variables and… Topic 18: Introduction to Random Variables and Cummulative Distribution Functions (PETARS, Chapter 4)	Topic 18: Introduction to Random Variables and Cummulative Distribution Functions (PETARS, Chapter 4) This video introduces and defines scalar real random variables, covering the sample/state space, probability of outcomes, and mapping to the real axis. Some simple examples are presented. The video… pgee11164 probability function outcome distribution outcomes variable interval values infinity experiment variables signals hand event temperature space functions events zeta lecture From James Hopgood on September 5th, 2020 0 likes 89 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 5th, 2020
21:59 Topic 17: Conditional Probability and Bayes Rule… Topic 17: Conditional Probability and Bayes Rule (PETARS, Chapter 3)	Topic 17: Conditional Probability and Bayes Rule (PETARS, Chapter 3) This slightly longer than usual video covers conditional probability and gives some examples that are initially counter-intuitive. Bayes theorem is then developed from conditional probability, and… pgee11164 probability prisoner problem fact boy warden handout outcomes coin definition event times heartbeat person boys children formula term reward prisoners From James Hopgood on September 5th, 2020 0 likes 81 plays 0 Course Code PGEE11164 Licence Type Creative Commons - Attribution Date Created September 5th, 2020
09:46 Topic 14: Axiomatic Definition of Probability… Topic 14: Axiomatic Definition of Probability (PETARS, Chapter 3)	Topic 14: Axiomatic Definition of Probability (PETARS, Chapter 3) The Kolmogorov axioms are the foundations of probability theory introduced by Andrey Kolmogorov in 1933. Using these axioms, this video shows how many other familiar results can be derived from these… pgee11164 probability event events intersection space union definition b. theory diagram venn size scenario fact problem rule popularity definitions subset a. From James Hopgood on September 5th, 2020 0 likes 78 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 5th, 2020
13:47 Topic 13: Bertrand’s Paradox (PETARS,… Topic 13: Bertrand’s Paradox (PETARS, Chapter 3)	Topic 13: Bertrand’s Paradox (PETARS, Chapter 3) This video highlights key difficulties with the classical definition of probability. It uses Bertrand's paradox as a problem in which to study the problems associated with classical… pgee11164 probability circle point definition event proportionality outcomes method radius problem ratio length events triangle ab naught r. paradox fact n. From James Hopgood on September 4th, 2020 0 likes 78 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 4th, 2020
09:52 Topic 12: Classical Probability (PETARS, Chapter… Topic 12: Classical Probability (PETARS, Chapter 3)	Topic 12: Classical Probability (PETARS, Chapter 3) This video builds on empirical probability and defines the classical definition by considering equally probable outcomes. The video discusses several examples using that can be easily studied with… pgee11164 probability outcomes sequence definition sources problem cups events event die lecture arrangements position digits ordering input symbols target color cop From James Hopgood on September 3rd, 2020 0 likes 72 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 3rd, 2020
30:57 How to make friends and stay connected as an… How to make friends and stay connected as an online student	How to make friends and stay connected as an online student Just because you're not on-campus, doesn't mean you're not a part of the University community! Join your Students' Association Sabbatical Officers for advice on getting involved… how to how to online how to online sessions events societies students groups student week association society facebook questions ways question advice event channels place person club things edinburgh From Ravinder Panesar on August 31st, 2020 0 likes 50 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created August 27th, 2020
08:39 CIO update to all ISG staff 24 July 2020 CIO update to all ISG staff 24 July 2020	CIO update to all ISG staff 24 July 2020 CIO update to all ISG staff 24 July 2020 cio staff government questions phase isg lot actions face route event answers james things campus buildings diary members representatives safety importance From Gavin McLachlan on July 24th, 2020 0 likes 324 plays 0 Licence Type All rights reserved The University of Edinburgh
14:33 5.1-part4: Jointly distributed random variables… 5.1-part4: Jointly distributed random variables (exercises)	5.1-part4: Jointly distributed random variables (exercises) . ... probability warranty times events cameras i. event values table warrant cases formula hint subscript variable power warranties homework trials condition From Vesselin Velichkov on July 20th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
16:11 5.1-part3: Jointly distributed random variables… 5.1-part3: Jointly distributed random variables (exercises)	5.1-part3: Jointly distributed random variables (exercises) . ... probability values function mass event summation y. pmf table island variables subscript x. horses exercise times functions capital gas effects From Vesselin Velichkov on July 20th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
17:12 4.4-part6: Exponential and gamma distribution… 4.4-part6: Exponential and gamma distribution (exercises)	4.4-part6: Exponential and gamma distribution (exercises) . ... event minus probability lambda component components t. distribution hours parameter cdf pdf ai events question probabilities a2 fact a1 independence From Vesselin Velichkov on July 20th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh

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