DS 3001: Foundations of Data Science

Tuesday and Friday 2:00 - 3:50pm, via a Zoom meeting (online learning)
Instructor: Kyumin Lee
Office Hours: Tuesday 9:30am - 10:30am and Wednesday 4:00pm - 5:00pm, via a Zoom meeting
Email: kmlee (at) wpi.edu

Teaching Assistant: Jianjun Luo
TA's Office Hours: Monday, Thursday and Friday 10:00 - 11:00 am, via a Zoom meeting
TA's email: jluo (at) wpi.edu

syllabus | schedule | project


Course Summary

This course provides an introduction to the core ideas in Data Science. It covers a broad range of methodologies for working with and making informed decisions based on real-world data. Students will learn how to manage and analyze data at scale (e.g., big data). Specifically, the students will study big data management and processing techniques, data analytics, statistical methods and models, data visualization, and etc.

By the end of the semester students will be able to:

Communication

All course announcements will be posted via the Canvas course mailing list.

Recommended Background

Statistics knowledge equivalent to MA 2611 and MA 2612, linear algebra equivalent to MA 2071, and the ability to program equivalent to (CS 1004 or CS 1101 or CS 1102) and (CS 2102 or CS 2119)

Textbooks

Course readings will be drawn from the following textbooks:

Grading (tentative)

The detailed information regarding the grading is described in the syllabus.