Spring 2024
DATA C88S 001 - LEC 001
Formerly Statistics 88
Probability and Mathematical Statistics in Data Science
Shobhana Murali Stoyanov
Class #:22197
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
45
Enrolled: 255
Waitlisted: 0
Capacity: 300
Waitlist Max: 45
No Reserved Seats
Hours & Workload
2 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 4 hours of outside work hours per week.
Final Exam
FRI, MAY 10TH
08:00 am - 11:00 am
Pimentel 1
Other classes by Shobhana Murali Stoyanov
Course Catalog Description
In this connector course we will state precisely and prove results discovered while exploring data in Data C8. 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
*Lecture will meet MWF 4-5pm.
*Pre/co-requisites for this course are ENFORCED.
*Time conflicts and exam conflicts are not allowed.
*Students will enroll directly into their section as part of course enrollment.
*Pre/co-requisites for this course are ENFORCED.
*Time conflicts and exam conflicts are not allowed.
*Students will enroll directly into their section as part of course enrollment.
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 DATA C88S after completing STAT 134, STAT 140, STAT 135, or DATA C102.
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