Application to Data for Sustainable Development
To help us choose participants for this class please answer the following questions. The application deadline for Fall Quarter 2019 is Friday, 9/13/2019. Students placed on waitlist are encouraged to attend the first session. For more information about the class, please check out the class website at
Note: If you are a co-term or masters student in CS, this class counts towards part (c) of the AI specialization.
Year in school
Examples: 4th year undergrad, 2nd year PhD
Major / Department
Why are you interested in taking this class?
Which sustainable development goal(s) are you most interested to work on?
Learn more about the UN Sustainable Development Goals (SDGs) here:
If you have done any research previously, describe the project you've worked on that you are most proud of.
List classes that you have taken that are relevant to this class, and put your grade in parentheses. Relevant classes include, but are not limited to, CS221, 229, 231N, and STATS 202, 216.
Check any of the following that you have experience using
Torch / PyTorch
Choose all of the course listings that you would be OK with enrollment in.
This questions is for students who are using this class to satisfy a degree requirement, as certain departments are restrictive in the actual course number you choose. If you are OK with any of the course numbers, please check all the boxes. This determines which course enrollment code we will give you. There is no difference in the actual class.
EARTHSYS 162 (for undergraduate students)
EARTHSYS 262 (for graduate students)
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