Advanced Topics in Data Science

Harvard Extension School

CSCI E-109B

Section 1

CRN 26501

Begin Registration
Building upon the material in CSCI E-109a, the course introduces advanced methods for statistical modeling, representation, and prediction. Topics include multiple deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, language models, autoencoders, and generative models, as well as basic Bayesian methods and unsupervised learning. Students are strongly encouraged to enroll in both the fall and spring course within the same academic year. Students who have previously completed CSCI E-107 or CSCI E-109 may not take CSCI E-109a or CSCI E-109b for degree or certificate credit.

Registration Closes: January 23, 2025
Credits: 4

View Tuition Information

Term

Spring Term 2025

Part of Term

Full Term

Format

Online

Credit Status

Graduate

Section Status

Open

Instructor Info

Pavlos Protopapas, PhD

Scientific Program Director and Lecturer, Institute for Applied Computational Science, Harvard University


Christopher William Gumb, ALB

Preceptor in Computational and Data Science, John A. Paulson School of Engineering and Applied Sciences, Harvard University


Natesh S. Pillai, PhD

Professor of Statistics, Harvard University


Meeting Info

1/27 to 5/17

Participation Option: Online Asynchronous

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

Required sections to be arranged.

Prerequisites

A grade of B-minus or higher in CSCI E-109a. Students who have not completed CSCI E-109a should contact the instructors before registering.

Notes

The recorded lectures are from the Harvard John A. Paulson School of Engineering and Applied Sciences companion course Computer Science 1090b. Registered students can ordinarily live stream the lectures Mondays, Wednesdays, and Fridays, 9:00-10:15 am starting January 27 or they can watch them on demand. The recorded sessions are typically available within a few hours of the end of class and no later than the following business day. Class sessions for this course may include students enrolled in the FAS companion course. Accordingly, when you participate in live class sessions, you will do so alongside both Division of Continuing Education (DCE) and FAS students. If you participate in a way that causes you to appear in recordings of the class, those recordings may be shown to DCE students enrolled in this course or FAS students enrolled in the companion course, according to the policies of the two schools on accessing recordings of class sessions.

Tuition

View Tuition Information

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
26501 1 Online Asynchronous Team Taught Open Jan 27 to May 17

This Course May Contribute to: