STAT 157: Seminar on Topics in Probability and Statistics

Probability and the Real World (Fall 2017)

Instructor: David Aldous

GSI None.

Class time: Tuesday Thursday 2.00 - 3.30 in room 332 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. It is limited to 36 students.

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?

The requirements for students are (see the link below for more info).

There are no other homeworks or exams. There is no course textbook, but to get into the spirit of the course it's helpful to read one of the ``popular science" books on the book list.

The Pre-Quiz

To be admitted to this course, you must first do the pre-quiz on this page.

More information

Read here for more about administration and deadlines.

This page is a guide to online resources which may be helpful in choosing projects. It's intended for online browsing.

Class-by-class schedule

Material below will be posted after each lecture. For likely future lectures see the web site for the 2016 course.

The links below go to slides of the lectures, which will be posted after the lecture. The link here goes to extended write-ups of about half of the lectures. The link here goes to links, books and papers mentioned in lectures -- implicit suggestions for further reading.

Th 8/24: Lecture 1:

Tu 8/29: Lecture 2:
Th 8/31: Lecture 3:

Tu 9/5: Lecture 4:
Th 9/7: Lecture 5:

Tu 9/12: Lecture 6:
Th 9/14 Lecture 7:

Tu 9/19 : Student talks
Th 9/21: Student talks

Tu 9/26: Student talks
Th 9/28: Lecture 8

Tu 10/3: Lecture 9:
Th 10/5 Lecture 10:

Tu 10/10: Lecture 11:
Th 10/12 Lecture 12:

Tu 10/17: Lecture 13:
Th 10/19 Lecture 14:

Tu 10/24: Lecture 15:
Th 10/26 Lecture 16:

Tu 10/31: Lecture 17:
Th 11/2 Lecture 18:

Tu 11/7: Lecture 19:
Th 11/9 Lecture 20:

Tu 11/14: Student talks
Th 11/16 Student talks

Tu 11/21: Student talks
Th 11/23 No class

Tu 11/28: Student talks
Th 11/30 Student talks

Wordle: My "probability in the real world" course