Foundations of Data Science

CDS DS 120

  • Quantitative Reasoning I

The first in a 3-course sequence (with CDSDS 121 and CDSDS 122) that introduces students to theoretical foundations of Data Science. Introduction to key concepts from Calculus (differentiation and integration), Probability (discrete and continuous random variables) and Linear Algebra (vector spaces, matrices, and linear systems). The course links mathematics and computational thinking through problem sets requiring students to answer mathematically-posed questions using computation.

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A1 Chatterjee PHO 211 MWF 11:15 am-12:05 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A2 Chatterjee SAR 104 M 12:20 pm-1:10 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A3 Chatterjee CDS 164 M 1:25 pm-2:15 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A4 Chatterjee CGS 521 M 2:30 pm-3:20 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A5 Chatterjee CGS 521 M 3:35 pm-4:25 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
B1 Chatterjee WED 130 MWF 2:30 pm-3:20 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
B2 Chatterjee CAS 214 R 9:30 am-10:45 am

FALL 2026 Schedule

Section Instructor Location Schedule Notes
B3 Chatterjee CDS 164 R 11:15 am-12:05 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
B4 Chatterjee CAS 214 R 12:30 pm-1:45 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
B5 Chatterjee CDS 164 R 2:00 pm-3:15 pm

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.