2020 Spring STAT 102 001 LEC 001

Spring 2020

STAT 102 001 - LEC 001

Formerly DATA C102

Data, Inference, and Decisions

Jacob Noah Steinhardt, Moritz Hardt

Jan 21, 2020 - May 08, 2020
Tu, Th
09:30 am - 10:59 am
Class #:31062
Units:4

Offered through Statistics

Current Enrollment

Total Open Seats: 1
Enrolled: 159
Waitlisted: 0
Capacity: 160
Waitlist Max: 36
Open Reserved Seats:
1 reserved for Data Science Majors with 7 or more Terms in Attendance
3 reserved for Students with Enrollment Permission
18 reserved for Statistics Majors with 7 or more Terms in Attendance

Hours & Workload

3 hours of instructor presentation of course materials, 7 hours of outside work hours, 1 hours of instructional experiences requiring special laboratory equipment and facilities, and 1 hours of the exchange of opinions or questions on course material.

Final Exam

WED, MAY 13TH
11:30 am - 02:30 pm
Internet/Online

Other classes by Jacob Noah Steinhardt

Course Catalog Description

This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.

Rules & Requirements

Requisites

  • Mathematics 54 or Mathematics 110 or Statistics 89A or Physics 89 or both of Electrical Engineering and Computer Science 16A and Electrical Engineering and Computer Science 16B; Statistics/Computer Science C100; and any of Electrical Engineering and Computer Science 126, Statistics 140, Statistics 134, Industrial Engineering and Operations Research 172. Statistics 140 or Electrical Engineering and Computer Science 126 are preferred.

Credit Restrictions

Students will receive no credit for STAT 102 after completing STAT 102. A deficient grade in STAT 102 may be removed by taking STAT 102.

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

Open Reserved Seats:
1 reserved for Data Science Majors with 7 or more Terms in Attendance
3 reserved for Students with Enrollment Permission
18 reserved for Statistics Majors with 7 or more Terms in Attendance

Textbooks & Materials

Associated Sections