2024 Spring DATA C102 001 LEC 001

Spring 2024

DATA C102 001 - LEC 001

Formerly Statistics 102

Data, Inference, and Decisions

Ramesh Sridharan, Alexander Strang

Jan 16, 2024 - May 03, 2024
Tu, Th
12:30 pm - 01:59 pm
Class #:20894
Units: 4

Instruction Mode: In-Person Instruction

Offered through Data Science Undergraduate Studies

Current Enrollment

Total Open Seats: -19
Enrolled: 259
Waitlisted: 0
Capacity: 240
Waitlist Max: 0
Open Reserved Seats:
2 reserved for Statistics Majors with 7 or more Terms in Attendance
Also offered as: STAT C102

Hours & Workload

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

Final Exam

THU, MAY 9TH
03:00 pm - 06:00 pm

Other classes by Ramesh Sridharan

Other classes by Alexander Strang

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.

Class Notes

This class is not expected to expand in capacity. We expect all seats to remain reserved for declared Data Science and Statistics majors, with priority for seniors.

*Prerequisites for this course are ENFORCED.

*Out-of-class midterm exams tentatively set for the evenings of .. show more
This class is not expected to expand in capacity. We expect all seats to remain reserved for declared Data Science and Statistics majors, with priority for seniors.

*Prerequisites for this course are ENFORCED.

*Out-of-class midterm exams tentatively set for the evenings of February 29 and April 11, 2024

*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course, please submit a request to clear requisites. See our Enrollment FAQ for details: https://docs.google.com/document/d/16K8Pe2wA86ZP0B-NjBlBZZYOs3EVfDJqJCh2aG5hOps/edit?usp=sharing

*This class uses 999 and 999L sections. In addition to the lecture, you must enroll in the DIS 999 and LAB 999 to enroll in the course. Selection and assignment into the actual sections happen outside of CalCentral. Instructors will provide more information during the first lecture.

*Discussion sections will be held on Mondays and lab sections will be held on Wednesdays. show less

Rules & Requirements

Requisites

  • Math 54 or 56 or 110 or Stat 89A or Physics 89 or both of EECS 16A and 16B with a C- or better, or Pass; Data/Stat/CompSci C100 with a C- or better, or Pass; and any of EECS 126, Data/Stat C140, Stat 134, IndEng 172, Math 106 with a C- or better, or Pass. Data/Stat C140 or EECS 126 are preferred

Credit Restrictions

Students will receive no credit for DATA C102 after completing STAT 102, or DATA 102. A deficient grade in DATA C102 may be removed by taking STAT 102, STAT 102, or DATA 102.

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

Open Reserved Seats:
2 reserved for Statistics Majors with 7 or more Terms in Attendance

Textbooks & Materials

See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections