Description
DS 121 is the second in the three-course sequence (DS 120, 121, 122) that introduces students to theoretical foundations of Data Science. DS 121 covers an introduction to key concepts from Linear Algebra (vector space, independence, orthogonality and matrix factorizations). The DS theme running through the course is exploratory data analysis, enabling a better understanding of the data at hand. The course will link mathematical concepts with computational thinking, specifically through the use of problem sets that require students to answer mathematically-posed questions using computation.
This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning I, Digital/Multimedia Expression, Critical Thinking.
DS 120 (or equivalent) is a prerequisite, and DS 110 (or equivalent) is a corequisite.
This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning I, Digital/Multimedia Expression, Critical Thinking.
DS 120 (or equivalent) is a prerequisite, and DS 110 (or equivalent) is a corequisite.
General Information
Course meetings
Lectures are held Tuesdays and Thursdays at 1:30-2:45pm in WED room 130. Discussion labs are held on Mondays at 9:05-9:55am (in CDS 164), 12:20-1:10pm (in BRB 121), 1:25-2:15pm (in CDS 264), and 2:30-3:20pm (in CGS 311). We actively encourage questions and interaction during all lectures and discussion labs.
| Name | Office Hours | |
|---|---|---|
Mayank Varia | When? Where? | |
Serena Theobald | When? Where? | |
Daniel Cho | When? Where? | |
Riya Parikh | When? Where? | |
Zachary Gentile | When? Where? | |
Abhishek Tiwari | When? Where? | |
Dhun Jayswal | When? Where? | |
Allison McDonald | When? Where? | |
Lisa Wobbes | When? Where? |