2022 Fall
DATA C102 001 - LEC 001
Formerly Statistics 102
Data, Inference, and Decisions
Jacob Noah Steinhardt, Ramesh Sridharan
Class #:25041
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
11
Enrolled: 239
Waitlisted: 0
Capacity: 250
Waitlist Max: 100
No Reserved Seats
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, DECEMBER 15TH
03:00 pm - 06:00 pm
Other classes by Jacob Noah Steinhardt
Other classes by Ramesh Sridharan
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
*Data C102 is currently scheduled on Fridays 2-5pm. Students enrolled in Data C102 will have access to 2 video lectures each week, and attendance on Fridays will be recorded from 3:30-5pm only. Students will be allowed to enroll with time conflicts since attendance is not required from 2-3:30pm, but..
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*Data C102 is currently scheduled on Fridays 2-5pm. Students enrolled in Data C102 will have access to 2 video lectures each week, and attendance on Fridays will be recorded from 3:30-5pm only. Students will be allowed to enroll with time conflicts since attendance is not required from 2-3:30pm, but should ensure that they are able to attend Data C102 in person Fridays 3:30-5pm.
*There will be a final project and no final exam.
*Out-of-class midterm exams tentatively set for October 6, 7-9pm and November 17, 7-9pm.
*Prerequisites for this course are ENFORCED.
*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course OR you are a Fall 2022 graduating senior who will be declared in Data Science and have not yet satisfied the Modeling, Learning, & Decision-Making requirement, please submit an enrollment request for Data C102. See https://data.berkeley.edu/fall-2022-classes for details.
*This class uses 999 and 999L sections. In addition to the lecture, you must enroll in the DIS 999 and LAB 999L 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.
*Lab sections will be on Mondays and discussion sections will be on Wednesdays. show less
*There will be a final project and no final exam.
*Out-of-class midterm exams tentatively set for October 6, 7-9pm and November 17, 7-9pm.
*Prerequisites for this course are ENFORCED.
*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course OR you are a Fall 2022 graduating senior who will be declared in Data Science and have not yet satisfied the Modeling, Learning, & Decision-Making requirement, please submit an enrollment request for Data C102. See https://data.berkeley.edu/fall-2022-classes for details.
*This class uses 999 and 999L sections. In addition to the lecture, you must enroll in the DIS 999 and LAB 999L 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.
*Lab sections will be on Mondays and discussion sections will be on Wednesdays. show less
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 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
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