Mathematics for Computation and Data Science

Harvard Extension School

MATH E-23C

Section 1

CRN 25129

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The course covers topics in real analysis, linear algebra, and integral calculus, chosen for their relevance to computer science, probability, statistics, and data science. We cover the foundations of probability, integration, vector spaces, and matrix decompositions. Application to statistical and optimization problems is included, as well as an introduction to mathematical tools in the R programming language. Students may not take both MATH E-23c and MATH E-23b for degree or certificate credit.

Registration Closes: January 23, 2025
Credits: 4

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Term

Spring Term 2025

Part of Term

Full Term

Format

Flexible Attendance Web Conference

Credit Status

Graduate, Noncredit, Undergraduate

Section Status

Open

Instructor Info

Kris Lokere, ALM


Meeting Info

Th 6:30pm - 8:30pm (1/27 - 5/17)

Participation Option: Online Asynchronous or Online Synchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register: January 23, 2025

Additional Time Commitments

Optional sections to be arranged.

Prerequisites

Linear algebra, solid single-variable calculus, and introductory multivariable differential calculus. MATH E-23a would be more than sufficient.

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. Recorded sessions are typically available within a few hours of the end of class and no later than the following business day.

Syllabus

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Tuition

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All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
25129 1 Online Asynchronous, Online Synchronous Kristiaan Lokere Open Th 6:30pm - 8:30pm
 Jan 27 to May 17

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