Stanford Root

Schedule

Stanford Root

Schedule

CS 432

Computer Vision for Education and Social Science Research (EDUC 463)

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Computer vision -- the study of how to design artificial systems that can perform high-level tasks related to image or video data (e.g. recognizing and locating objects in images and behaviors in videos) -- has seen recent dramatic success. In this course, we seek to give education and social science researchers the know-how needed to apply cutting edge computer vision algorithms in their work as well as an opportunity to workshop applications. Prerequisite: python familiarity and some experience with data.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 26351
0 / 20 enrolled
DAYS:Monday
TIME:9:30 AM – 12:20 PM
LOCATION:Raikes102
INSTRUCTOR:
Haber, Nick
3units

CS 432: Computer Vision for Education and Social Science Research (EDUC 463)

3 units · Letter or Credit/No Credit

Computer vision -- the study of how to design artificial systems that can perform high-level tasks related to image or video data (e.g. recognizing and locating objects in images and behaviors in videos) -- has seen recent dramatic success. In this course, we seek to give education and social science researchers the know-how needed to apply cutting edge computer vision algorithms in their work as well as an opportunity to workshop applications. Prerequisite: python familiarity and some experience with data.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Monday 9:30 AM – 12:20 PM — Raikes102 — Haber, Nick (Graduate)

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