Fall 2021

Course Code Title/Instructor Meets
DATA 180-01 Introduction to Data Science
Instructor: Jeffrey Forrester
Course Description:
Cross-listed with COMP 180-01 and MATH 180-01. An introduction to theprinciples and tools of data science focusing on exploratory data analysis. Topics include types of variables, mathematical representations of data, data wrangling and transformations, data visualization and numerical summaries, and supervised and unsupervisedmachinelearning. The course will include an introduction to computational tools such as the R statistical environment. No prior programming experience is required.Prerequisites: MATH 170 or department placement. This course is cross-listed as COMP 180 and MATH 180.
09:00 AM-10:15 AM, TR
TOME 121
DATA 180-02 Introduction to Data Science
Instructor: Eren Bilen
Course Description:
Cross-listed with COMP 180-02 and MATH 180-02. An introduction to theprinciples and tools of data science focusing on exploratory data analysis. Topics include types of variables, mathematical representations of data, data wrangling and transformations, data visualization and numerical summaries, and supervised and unsupervisedmachinelearning. The course will include an introduction to computational tools such as the R statistical environment. No prior programming experience is required.Prerequisites: MATH 170 or department placement. This course is cross-listed as COMP 180 and MATH 180.
10:30 AM-11:45 AM, TR
TOME 121