2022 Fall
COMPSCI C88C 001 - LEC 001
Formerly Computer Science 88
Computational Structures in Data Science
Michael Ball
Class #:32350
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
-1
Enrolled: 1
Waitlisted: 0
Capacity: 0
Waitlist Max: 0
No Reserved Seats
Also offered as:
DATA 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
* Formerly known as CS 88
* Students interested in taking the class, need to enroll into DATA C88C. Enrollment for this class is now being managed by Data Science.
* Students interested in taking the class, need to enroll into DATA C88C. Enrollment for this class is now being managed by Data Science.
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
Associated Sections
None