Spring 2023
COMPSCI C88C 001 - LEC 001
Formerly Computer Science 88
Computational Structures in Data Science
Michael Ball
Class #:30844
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled: 0
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
TUE, MAY 9TH
11:30 am - 02:30 pm
Dwinelle 155
Pimentel 1
Wheeler 130
Wheeler 108
Wheeler 20
Wheeler 120
Wheeler 200
Wheeler 220
Wheeler 222
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 CompSci 88. Interested students should enroll in DATA C88C.
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