In this course, different instructors treat very different topics. My topic is
(9/3) Thanks to everyone who attended the first class. The course is now full -- no more admits. For the record here is the pre-quiz.
(9/3) And the winner of the "least unique integer" game is ........ the person who wrote 6. Here is the data, remarkably similar to the 2011 class. Note the preference for odd numbers.
(9/3) 14 out of 35 students answered Yes to the question
Someone says to you ``you do Statistics -- what do you think is the likely future impact of Big Data?". Could you, without stopping to think, give a coherent and interesting answer?
We will find out later if they are correct ...........
(9/22) Schedule of 6-minute student talks
(10/3) Student comments on the 6 minute talks.
Instructor: David Aldous
Class time: MW 4.00-5.30 in room 334 Evans.
Prerequisite: Upper division probability (STAT 134 or equivalent). The course emphasizes student participation and initiative while offering students the opportunity to pursue intellectual curiosity in directions of their individual choice.
Courses in mathematical probability teach you to do certain mathematical calculations, but these are often far removed from broader questions about the the role of randomness in the "real world" of science or of human affairs. In contrast, this junior/senior seminar course seeks to engage such questions in two ways.
1. In lectures I will treat about 20 different topics, one each lecture, chosen to illustrate the diversity of contexts where probability arises. Some idea of this diversity can be gleaned from my list of 100 contexts where we perceive chance.
2. A recurrent theme is to adopt a classical science paradigm: can we use probability theory to make predictions about the real world which can be verified or falsified by experiment or observation?
Here are the requirements for students are (see the links below for more info).