Stanford Root

Schedule

Stanford Root

Schedule

CEE 247C

Computer Vision for the Built Environment (CEE 147C)

UNITS:3-4
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

The course is an introduction to Visual Machine Perception technology - and specifically Computer Vision and Machine Learning (CV-ML) - for the built environment. It will explore fundamentals in this technology both in research and products, in tight reference to design, construction, and operation/management. It will consider the current and potential impact of this technology on achieving sustainability goals, such as related to reuse, circularity, and performance-based lifecycle, as well as the organizational considerations behind development and adoption.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 2128
0 / 40 enrolled
DAYS:Wednesday
TIME:1:30 PM – 4:20 PM
LOCATION:TBD
INSTRUCTOR:
Armeni, Iro, Deb Sarkar, Sayan
units

CEE 247C: Computer Vision for the Built Environment (CEE 147C)

3-4 units · Letter (ABCD/NP)

The course is an introduction to Visual Machine Perception technology - and specifically Computer Vision and Machine Learning (CV-ML) - for the built environment. It will explore fundamentals in this technology both in research and products, in tight reference to design, construction, and operation/management. It will consider the current and potential impact of this technology on achieving sustainability goals, such as related to reuse, circularity, and performance-based lifecycle, as well as the organizational considerations behind development and adoption.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Wednesday 1:30 PM – 4:20 PM — Armeni, Iro, Deb Sarkar, Sayan (Graduate)

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