2022 Fall
DATA C88C 001 - LEC 001
Formerly Computer Science 88
Computational Structures in Data Science
Michael Ball
Class #:32361
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:
-60
Enrolled: 410
Waitlisted: 0
Capacity: 350
Waitlist Max: 0
No Reserved Seats
Also offered as:
COMPSCI C88C
Hours & Workload
2 hours of instructor presentation of course materials per week, 5 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Final Exam
FRI, DECEMBER 16TH
08:00 am - 11:00 am
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
*Prerequisites for this course are ENFORCED.
*This course will allow for time conflicts. It will have a final exam during the scheduled time though, so students must verify that their other course does NOT have a conflicting final exam.
*Out-of-class midterm exam tentativel.. show more
*This course will allow for time conflicts. It will have a final exam during the scheduled time though, so students must verify that their other course does NOT have a conflicting final exam.
*Out-of-class midterm exam tentativel.. show more
*Prerequisites for this course are ENFORCED.
*This course will allow for time conflicts. It will have a final exam during the scheduled time though, so students must verify that their other course does NOT have a conflicting final exam.
*Out-of-class midterm exam tentatively set for October 19, 7-9pm.
*If you completed or are enrolled in an approved alternate UC Berkeley pre/co-requisite course please submit an enrollment request for Data C88C. See https://data.berkeley.edu/fall-2022-classes for details.
*This class uses 999 sections. In addition to the lecture, you must enroll in the LAB 999L to enroll in the course. Selection and assignment into the actual labs happens outside of CalCentral. Instructors will provide more information during the first lecture.
*Lab sections will mostly be on Wednesdays, with a few Thursday and Friday options. show less
*This course will allow for time conflicts. It will have a final exam during the scheduled time though, so students must verify that their other course does NOT have a conflicting final exam.
*Out-of-class midterm exam tentatively set for October 19, 7-9pm.
*If you completed or are enrolled in an approved alternate UC Berkeley pre/co-requisite course please submit an enrollment request for Data C88C. See https://data.berkeley.edu/fall-2022-classes for details.
*This class uses 999 sections. In addition to the lecture, you must enroll in the LAB 999L to enroll in the course. Selection and assignment into the actual labs happens outside of CalCentral. Instructors will provide more information during the first lecture.
*Lab sections will mostly be on Wednesdays, with a few Thursday and Friday options. show less
Rules & Requirements
Requisites
- MATH 1A. Also, 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