2022 Fall
STAT C88S 001 - LEC 001
Formerly Statistics 88
Probability and Mathematical Statistics in Data Science
Ani Adhikari, Syed Mohammad Shahzar Rizvi
Class #:32397
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
0
Enrolled: 0
Waitlisted: 0
Capacity: 0
Waitlist Max: 0
No Reserved Seats
Also offered as:
DATA C88S
Hours & Workload
3 hours of instructor presentation of course materials per week, 4 hours of outside work hours per week, and 2 hours of the exchange of opinions or questions on course material per week.
Final Exam
THU, DECEMBER 15TH
11:30 am - 02:30 pm
Evans 10
Lewis 100
Etcheverry 3113
Other classes by Ani Adhikari
Other classes by Syed Mohammad Shahzar Rizvi
Course Catalog Description
In this connector course we will state precisely and prove results discovered while exploring data in Data 8. Topics include: probability, conditioning, and independence; random variables; distributions and joint distributions; expectation, variance, tail bounds; Central Limit Theorem; symmetries in random permutations; prior and posterior distributions; probabilistic models; bias-variance tradeoff; testing hypotheses; correlation and the regression model.
Class Notes
This course was formerly known as Stat 88. Students should enroll under Data C88S (Class Nbr: 32382). Enrollment is managed by Data Science. See https://data.berkeley.edu/fall-2022-classes.
Rules & Requirements
Requisites
- Prerequisite: one semester of calculus at the level of Math 16A, Math 10A, or Math 1A. Corequisite or Prerequisite: Foundations of Data Science (COMPSCI C8 / DATA C8 / INFO C8 / STAT C8).
Credit Restrictions
Students will receive no credit for STAT 88 after completing STAT 134, STAT C140, STAT 135, or STAT 102.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None