2023 Fall
DATA C88C 001 - LEC 001
Formerly Computer Science 88
Computational Structures in Data Science
Michael Ball
Class #:26621
Units: 3
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
This class is audio and/or visually recorded
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
6
Enrolled: 479
Waitlisted: 0
Capacity: 485
Waitlist Max: 20
No Reserved Seats
Hours & Workload
2 hours of instructor presentation of course materials per week, 5 hours of outside work hours per week, 0 to 1 hours of extra meetings for the review or elaboration of course materials per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Final Exam
THU, DECEMBER 14TH
03:00 pm - 06:00 pm
Pimentel 1
Evans 10
Evans 60
North Gate 105
Evans 70
Evans 4
Evans 6
Evans 71
Evans 72
Evans 75
Evans 81
Evans 3
Other classes by Michael Ball
Course Catalog Description
Development of Computer Science topics appearing in Foundations of Data Science (C8); expands computational concepts and techniques of abstraction. Understanding the structures that underlie the programs, algorithms, and languages used in data science and elsewhere. Mastery of a particular programming language while studying general techniques for managing program complexity, e.g., functional, object-oriented, and declarative programming. Provides practical experience with composing larger systems through several significant programming projects.
Class Notes
*Lab Section attendance will be required in Fall 2023
Rules & Requirements
Requisites
- This course is a Data Science connector course and may only be taken concurrently with or after COMPSCI C8/DATA C8/INFO C8/STAT C8. Students may take more than one Data Science connector (88) course if they wish, concurrent with or after having taken the C8 course.
Credit Restrictions
Students will receive no credit for DATA C88C after completing COMPSCI 61A.
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