MIT 4.550/4.570 Computation Design Lab

Learning from Design Heritage
 Research Incubation Workshop on Data-driven Methods

    A research project on Machu Picchu, an example using various technology methods
 
* The first class: 11am, Monday, February 5 (Room 8-119)
* Undergrad students should sign up 4.550 and grad students should do 4.570.
* Limited enrollment: 8-12 students
* Spring 2024 class may include an optional field trip component (TBA)
* This class is a sequel following the same subject number in spring 2013-23, and may be taken repeatedly with permission of the instructor.

* Homepage: https://cat2.mit.edu/4.570  

Spring 2024 - Class Information

This class investigates recent information and visualization technologies that helps studying "design heritage", spatial designs that surround our lives. Design heritage broadly includes architecture, city and landscape; the built, demolished, and planned; and culturally important as well as the banal ones. We will look at various data-driven methods relevant to learn them, such as image/video feature detection, machine learning, physiological sensors, natural language processing, photogrammetric capture, augmented/virtual reality, and gamification. By examining how to collect data, how to process the raw data into forms useful for evaluation, and how to interpret and apply the findings, the students build a foundation for research projects bettering our understanding of the design heritage around us.

Each week during the first half of the class, the class will invite a guest speaker, conduct a short hands-on exercise on a selected data processing tool, and read relevant literature from previous research projects in design heritage. The second half is run in a workshop format with desk critiques, where students are expected to design and develop a small research project individually or in a group. There is no requirement for computational skills for this class, although familiarity with some scripting language is an advantage.

Instructors:
    Takehiko Nagakura (takehiko@mit.edu), Daniel Tsai and weekly guest speakers

TA: Chili Cheng (chili@mit.edu)

Regular Class Hours: Monday 11:00 AM - 2:00 PM, Rm 8-119
Lab (subject to change): Tuesday, 7:00 PM - 8:30 PM, Rm 5-216

* Lab hours are used for demos during the first half of the semester, and for project development by student teams during the second half.
* The required final presentation of this class takes place during the last class just before the MIT exam week in May 2024.

2024 Class information

Assignment links (Refresh your browser page to get the updated materials)
* The content details below are for 2023 class, and will be updated for 2024 once the class starts. Reference

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