* SML 201 (QR) No Pass/D/Fail
Introduction to Data Science
Sample reading list:
See instructor for complete list
There will be four data analysis and/or programming projects due over the course of the semester. There will be primary and supplementary reading assigned by the instructor.
Paper in Lieu of Mid Term - 22%
Paper in lieu of Final - 22%
Quizzes - 12%
Problem set(s) - 44%
Statistical, design or other software use required
Prerequisites and Restrictions:
There are no official prerequisites for this course. However, it is recommended that students be comfortable with the basics of command-line computer usage and undergraduate-level mathematical notation and symbols (e.g., summation and product symbols, algebraic notation). Note: COS 126 or an equivalent course is NOT a prerequisite. Please see the course web site for further information..
|43817||L01||11:00 am - 12:20 pm||M W||Green Hall 0-S-6||Enrolled:59 Limit:60||Closed|
|43818||P01||10:00 am - 10:50 am||Th||Lewis Library 121||Enrolled:36 Limit:36||Closed|
|43819||P02||3:30 pm - 4:20 pm||Th||Lewis Library 121||Enrolled:23 Limit:35|