Welcome to Stats 67 - Introduction to Probability and Statistics for Computer Science. This website serves as the syllabus. It has all the information that you would typically find on a syllabus and much more. Make sure to bookmark this page.

Prerequisite: MATH 2B

Meeting Times and Locations

	Lecture		Discussion
Section C	ICS 174 MW 09:30 - 10:50 am	Section C1	PSCB 120 W 4:00 pm - 4:50 pm
		Section C2	PSCB 120 W 5:00 pm - 5:50 pm
Section D	ICS 174 MW 11:00 am - 12:20 pm	Section D1	HH 262 W 2:00 pm - 2:50 pm
		Section D2	HH 262 W 3:00 pm - 3:50 pm

Course Goals

By the end of this course you will be able to

• summarize data using descriptive statistics and visualizations.
• select appropriate probability models and estimate parameters of models.
• make conclusions about population using sample data by applying statistical inference techniques.
• write human- and machine-readable code using R.

Teaching Team

Instructor

TAs

Section C	Section D
Corey Katz (he/him/his) ckatz@uci.edu Office Hours: Tue 8 - 10 am & Thu 8 -10 am Office: Donald Bren Hall 2013	Mary Ryan (she/her/hers) marymr@uci.edu Office Hours: Wed 09:00 - 11:00 am & Fri 2:00 - 4:00 pm (Virtual) Office: Donald Bren Hall 2013

Graders

Section C	Section D
Xuan Liu (she/her/hers) xuanl29@uci.edu	Federica Ricci (she/her/hers) fzricci@uci.edu

Texts

Your reading assignments will be from the following books. Note that all of these books are accesible online for free.

Introduction to Probability	Grinstead & Snell	American Mathematical Society, 2nd Edition, 2006
OpenIntro Statistics	Diez, Çetinkaya-Rundel & Barr	OpenIntro, 4th Edition, 2019
R for Data Science	Wickham, Grolemund	O'Reilly, 1st edition, 2017

Materials

Please bring your laptop to lectures and discussion sessions if you have one. We will mainly be working in groups. If you do not have a laptop you should not stress about it. We will need one laptop per group.
You will need a scientific calculator for the midterm and the final. You may not use a graphing calculator.