Spring 2023

STAT C8 001 - LEC 001

Formerly Computer Science C8/Statistics C8/Information C8

Foundations of Data Science

Swupnil K Sahai, Joseph E. Gonzalez

Jan 17, 2023 - May 05, 2023

Mo, We, Fr

10:00 am - 10:59 am

Wheeler 150

Class #:23451

Units: 4

Instruction Mode: In-Person Instruction
Time Conflict Enrollment Allowed

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 C8

3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.

Final Exam

TUE, MAY 9TH

03:00 pm - 06:00 pm

RSF Fieldhouse

Etcheverry 3106

Dwinelle 155

Physics Building 4

Genetics & Plant Bio 100

Mulford 159

Hearst Field Annex A1

Dwinelle 88

Dwinelle 145

North Gate 105

Barker 101

Evans 60

Davis 534

Physics Building 2

Physics Building 251

Lewis 9

Cory 247

Anthro/Art Practice Bldg 160

Wurster 102

Wheeler 202

Wheeler 20

Wheeler 130

Wheeler 108

Tan 180

Barker 110

Cory 241

Social Sciences Building 20

Other classes by Swupnil K Sahai

DATA C8 001 001LEC

Other classes by Joseph E. Gonzalez

DATA C8 001 001LEC

Course Catalog Description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Rules & Requirements

Credit Restrictions

Students will receive no credit for DATA C8\COMPSCI C8\INFO C8\STAT C8 after completing COMPSCI 8, or DATA 8. A deficient grade in DATA C8\COMPSCI C8\INFO C8\STAT C8 may be removed by taking COMPSCI 8, COMPSCI 8, or DATA 8.