2024 Spring DATA C88C 115L LAB 115L

Spring 2024

DATA C88C 115L - LAB 115L

Formerly Computer Science 88

Computational Structures in Data Science

Sean Yang

Jan 16, 2024 - May 03, 2024
Th
12:00 pm - 01:59 pm
Internet/Online
Class #:22195
Units: 3

Instruction Mode: Online

Offered through Data Science Undergraduate Studies

Current Enrollment

Total Open Seats: 0
Enrolled: 100
Waitlisted: 0
Capacity: 100
Waitlist Max: 10
No Reserved Seats
Also offered as: DATA C88C

Hours & Workload

2 hours of instructional experiences requiring special laboratory equipment and facilities 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 instructor presentation of course materials per week.

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.

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.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections