Subject/Course Search Results

CMSE 495  Experiential Learning in Data Science (W)


Semester
Fall of every year, Spring of every year
Credits
Total Credits: 4   Lecture/Recitation/Discussion Hours: 2   Lab Hours: 4
Prerequisite
(CSE 232 and CMSE 382) and completion of Tier I writing requirement
Restrictions
Open to seniors.
Description
Team-based data science projects on realistic, large-scale data.
Interdepartmental With
Computer Science and Engineering, Statistics and Probability
Administered By
Computational Mathematics, Science, & Engineering
Effective Dates
FALL 2019 - Open