Foundations of Data Science

CDS DS 122

  • Quantitative Reasoning II
  • Critical Thinking

CDS DS 122 is the third in a three-course sequence (with CDS DS 120 and CDS DS 121) that introduces students to theoretical foundations of Data Science. DS 122 covers topics in probability (including common probability distributions, conditional probability, independence, Bayes Theorem, prior and posterior distributions, sampling, and the central limit theorem), statistics (including maximum likelihood), basic numerical optimization (including gradient descent methods), and topics in calculus (including sequences and series). Knowledge of a programming language (such as Python) is expected. Effective Spring 2022, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking.

FALL 2023 Schedule

Section Instructor Location Schedule Notes
A1 Przytycki SAR 101 MWF 10:10 am-11:00 am

FALL 2023 Schedule

Section Instructor Location Schedule Notes
A2 Przytycki CAS 315 M 1:25 pm-2:15 pm

FALL 2023 Schedule

Section Instructor Location Schedule Notes
A3 Przytycki CAS 315 M 2:30 pm-3:20 pm

FALL 2023 Schedule

Section Instructor Location Schedule Notes
A4 Przytycki CAS 315 M 3:35 pm-4:25 pm

SPRG 2024 Schedule

Section Instructor Location Schedule Notes
A1 Wobbes KCB 101 MWF 9:05 am-9:55 am

SPRG 2024 Schedule

Section Instructor Location Schedule Notes
A2 Wobbes FLR 121 M 1:25 pm-2:15 pm Class Full

SPRG 2024 Schedule

Section Instructor Location Schedule Notes
A3 Wobbes EPC 206 M 2:30 pm-3:20 pm Class Full

SPRG 2024 Schedule

Section Instructor Location Schedule Notes
A4 Wobbes EPC 206 M 3:35 pm-4:25 pm

SPRG 2024 Schedule

Section Instructor Location Schedule Notes
A5 Wobbes EPC 206 M 4:40 pm-5:30 pm

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