Homework Due on Tuesday 3/10

This assignment is due on the same day as Exam 2 (Tuesday 3/10; not on Wednesday as usual).

This assignment will be included in Exam 2.

Section 13.8

Problems 10, 16, 18, 34.


Exam 2 on Tuesday 3/10

Dear all,

Exam 2 will take place on Tuesday after the break, 3/10.

It covers all the problems from Exam 1 (see Exam 1 and Solutions at https://udmmath2410w15.wordpress.com/2015/02/11/exam-1-feedback-and-solutions/), the homework assignments between Exam 1 (2/4) and yesterday (2/25), plus one more homework assignment on section 13.8 (Maxima and Minima of Functions of Two Variables), which will be due on the same day as Exam 2. There will be a separate announcement for this homework assignment.

The exam problems will be variations of Exam 1 and homework problems. So, please review these problems again.

If you have any questions, please ask on Monday after the break in class.

Gambling and Randomness — PI DAY LECTURE

See attached flier about this year’s Mike Skaff / Pi Day lecture.

Gambling and Randomness
Abhijit Dasgupta
When and Where
Tuesday, March 10, 1:002:00pm
Room: E-239
Refreshments will be served at 12:30pm!
The Question : What is Randomness?
Professor Mike Skaff had a strong interest in gambling theory, and he wrote a book
on the subject. Gambling gave birth to probability theory, whose central concept is randomness. Randomness is notoriously hard to define precisely, but Richard Von
Mises in early 20th Century pioneered a definition based on gambling. Earlier work of Emile Borel had shown that in a limiting sense, random sequences are actually
highly well-behaved! Alonzo Church later brought in the idea of computer algorithms as a key ingredient of randomness. This gave birth to another field known as Algorithmic Randomness. The field grew dramatically through the work of
Martin-LΓΆf, Kolmogorov, Chaitin and others, who showed its surprising connections with Lebesgue measure theory, data compression, and mathematical logic. Algorithmic Randomness is a very active area of current research. This talk will be about the question What is Randomness?