|
Dec 30, 2024
|
|
|
|
CS 4661 - Introduction to Data Science [3]
This course is repeatable: No Total # of units allowed for credit: 3 Max times this course can be taken for credit: 1 Max # of units may be repeated: 0
Course Description: Algorithms, tools, and techniques for extracting knowledge or insight from large-scale data, and use it for future purposes such as prediction, classification, and visualization. Credit Hours: 3 lecture hour(s)
Grading: ABCDF Mode of Delivery: Face to Face, Hybrid Campus: Main Campus Cross-Listing and/or Equivalent Course(s): None Prerequisite(s): CS 3112 Needs Permission to Enroll: No Special Fee Applied: No
Add to Portfolio (opens a new window)
|
|