Spring 2025 Computer Science BC3168 section 001

DEEP LEARNING FOR COMPUTER GRAPHICS

DEEP LEARNING FOR GRAPHIC

Call Number 00773
Day & Time
Location
MW 11:40am-12:55pm
152 HORACE MANN
Points 3
Grading Mode Standard
Approvals Required None
Instructor Corey Toler-Franklin
Type LECTURE
Course Description

This undergraduate course covers deep learning basics, related math and the fundamental theory and application of AI algorithms that are popular in the field of computer graphics. Programming assignments will help students develop GPU programming skills while implementing concepts learned in lectures and readings using deep learning APIs on a GPU cluster. Convolutional neural networks (CNNs) for colorizing black and white movies is an example. Pre-Requisites: COMS W3157 Advanced Programming, Linear Algebra (UN2010), and Calculus I or higher. 

Web Site Vergil
Department Computer Science @Barnard
Enrollment 45 students (45 max) as of 1:31PM Friday, January 17, 2025
Status Full
Subject Computer Science
Number BC3168
Section 001
Division Barnard College
Section key 20251COMS3168X001