2015-2016 2016-2017 2017-2018 2018-2019 2019-2020
Browse
by subject...
    Schedule
view...
 

1 - 3 of 3 results for: CEE 165H: Big Earth Hackathon Wildland Fire Challenge

CEE 165H: Big Earth Hackathon Wildland Fire Challenge (CEE 265H, EARTH 165H, EARTH 265H)

Participate in Stanford's Big Earth Hackathon challenge on wildland fires by finding an innovative solution to wildland fire prediction, prevention, and/or evacuation. Students work in self-organized diverse teams of 2-4 students in weeks 1-8, with a final presentation of the work on Friday May 29. The teams will spend the first few weeks designing their specific team problem/scope/goals under one of three primary areas of focus. Guidance in the design and solution processes will be provided by faculty, industry and/or community leaders. Workshops in data analysis, programming, GIS, and fundamental issues related to wildfires will be provided at the start of the quarter to give students tools and insights to define and tackle problems.
Terms: Spr | Units: 2-3

CME 197: Human-Centered Design Methods in Data Science (EARTH 197)

In today's society, the most pressing data science problems we face exist in a complex sociotechnical ecosystem and cannot be solved using the numbers alone. In this five-week short course, students will learn how to apply human-centered design methods to solve data science problems and how to pair traditional data with a diversity of other types of data to redefine problems and gain innovative insight. The course will focus on empathy-based frameworks to analyze data, problem definition and redefinition, and ideation. Additional skills in critique and storytelling will also be covered. Classes will be highly interactive and team-based. This course will offer skills in support of the teams working toward the Big Earth Hackathon Wildland Fire challenge ( CEE 265H, EARTH 165H, EARTH 265H).
Terms: Spr | Units: 1
Instructors: Syal, S. (PI)

EARTH 197: Human-Centered Design Methods in Data Science (CME 197)

In today's society, the most pressing data science problems we face exist in a complex sociotechnical ecosystem and cannot be solved using the numbers alone. In this five-week short course, students will learn how to apply human-centered design methods to solve data science problems and how to pair traditional data with a diversity of other types of data to redefine problems and gain innovative insight. The course will focus on empathy-based frameworks to analyze data, problem definition and redefinition, and ideation. Additional skills in critique and storytelling will also be covered. Classes will be highly interactive and team-based. This course will offer skills in support of the teams working toward the Big Earth Hackathon Wildland Fire challenge ( CEE 265H, EARTH 165H, EARTH 265H).
Terms: Spr | Units: 1
Instructors: Syal, S. (PI)
Filter Results:
term offered
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints