2023 Summer Session C
8 weeks, June 20 - August 11
STAT C8 001 - LEC 001
Formerly Computer Science C8/Statistics C8/Information C8
Foundations of Data Science
Kanu Grover, Ciara C Acosta, Kevin Miao
Class #:13869
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
Hours & Workload
6 hours of instructor presentation of course materials per week, 14 hours of outside work hours per week, and 4 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Final Exam
FRI, AUGUST 11TH
10:00 am - 12:59 pm
Physics Building 2
Dwinelle 134
Other classes by Kanu Grover
Other classes by Ciara C Acosta
Other classes by Kevin Miao
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.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats