Introduction to Probability Theory

This is the web page for AMS 131 section 1 (summer 2018). The following abbreviations will be used here:

DD = David Draper (Professor; email address *draper@ucsc.edu*), LB = **Laura Baracaldo** (TA; email address * lbaracal@ucsc.edu*), JK =

The catalog description for AMS 131 is as follows:

*Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and course 203 and Computer Engineering 107. Prerequisite(s): course 11B or Economics 11B or Mathematics 11B or 19B or 20B. (General Education Code(s): Q, SR - Statistical Reasoning)*

- (25 Jun 2018) Announcements will be posted in this section. The first Attachment section below will contain scanned PDF copies of the document camera lecture notes and extra lecture notes, as well as case studies and
*R*and*Maple*code; the second Attachment section will contain secure documents, available only by logging into the web page. - (27 Jun 2018) Office hours this term will be as follows:
(DD; Jack's Lounge [JL]),**Mon 11.30am-12.30pm**(JK; BE 119),**Tue 11.30am-12.30pm**(WZ; BE 312C/D);**Tue 4-5pm**(LB; BE 119),**Wed 11.30am-12.30pm**(DD; JL),**Thu 10-11am**(JK; BE 119),**Thu 11.30am-12.30pm**(WZ; BE 312 C/D),**Thu 4-5pm**(LB; BE 119).**Fri 11.30am-12.30pm** - (29 Jun 2018) You can get
**free tutoring**for this course through**Learning Support Services**(LSS): our tutor is; session times are**Noa Mills**,**Tue 11am-noon**and**Wed 11.45am-12.45pm**; you can sign up through**Fri noon-1pm**at sserc.ucsc.edu/slug-success (all tutoring sessions are at the**Slug Success**).**ARCenter**