Data Science II
BST 261
Subject & Catalog Number
Course Information
Description
This course is an introduction to deep learning, a branch of machine learning concerned with the construction, development, and application of neural networks. Deep learning algorithms extract layered high-level representations of data in a way that maximizes performance on a given task. We will cover a range of topics including basic neural networks, convolutional networks, and recurrent networks, and applications to problem domains like computer vision and speech recognition. Programming (Python) and case studies will be used throughout the course to provide hands-on training in these concepts.
Class Notes
THIS CLASS HAS PRIORITY ENROLLMENT
Priority Wave Groups
Wave 1 | SM60-HDS
Wave 2 | BIO SM2 / BIO SM60 / BIO SM1 / CBQG SM2
Wave 3 | Open Enrollment
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Priority Wave Timing
Wave 1 | 1/8/2026 11:00 AM - 1/18/2026 11:59 PM
Wave 2 | 1/19/2026 12:00 AM - 1/21/2026 11:59 PM
Wave 3 | 1/22/2026 12:00 AM (varies by session)
Any student who does not meet the Wave 1 or Wave 2 criteria can add themselves to the waitlist (if enrollment requirements are met) at any time during the enrollment period. At the beginning of each priority wave, students on the waitlist who meet the Wave’s criteria will be automatically enrolled into any remaining seats in the course (pending no time conflicts)
**Cross-Registrants and Non-Degree Students will be enrolled on a space available basis after the enrollment deadline for the course
Available for Harvard Cross Registration
