printer friendly pageCEE 11Q: Sustainability Design Thinking
How can we create high-impact solutions to our planet's most pressing sustainability challenges? And can we use Design Thinking to come up with creative, feasible, and impactful ideas that will promote sustainability in peoples' lives? This seminar and design studio introduces techniques for applying the Design Thinking methodology (pioneered at Stanford's d.School) to create design ideas that are compelling, effective, and realizable. You'll have opportunities to explore and experience how the design thinking methodology can be applied to solve real-world sustainability challenges through a series of design projects where you will exercise and apply design thinking skills to design and propose solutions that promote sustainable behaviors and practices. You will apply contextual, functional and human-centered design thinking techniques to create design ideas that promote sustainability by holistically considering space, form, environment, energy, economics, human behavior, and health.
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How can we create high-impact solutions to our planet's most pressing sustainability challenges? And can we use Design Thinking to come up with creative, feasible, and impactful ideas that will promote sustainability in peoples' lives? This seminar and design studio introduces techniques for applying the Design Thinking methodology (pioneered at Stanford's d.School) to create design ideas that are compelling, effective, and realizable. You'll have opportunities to explore and experience how the design thinking methodology can be applied to solve real-world sustainability challenges through a series of design projects where you will exercise and apply design thinking skills to design and propose solutions that promote sustainable behaviors and practices. You will apply contextual, functional and human-centered design thinking techniques to create design ideas that promote sustainability by holistically considering space, form, environment, energy, economics, human behavior, and health. Working independently and in small teams, you will propose designs that meet the needs of real users and illustrate your strategies for approaching the challenges and opportunities you uncover ? developing project ideas that demonstrate how you've used the design thinking process to make a measurable impact on improving sustainable behaviors and practices.
Last offered: Spring 2024
CEE 146S: Engineering Economics and Sustainability (ENGR 60)
Engineering Economics is a subset of the field of economics that draws upon the logic of economics, but adds that analytical power of mathematics and statistics. The concepts developed in this course are broadly applicable to many professional and personal decisions, including making purchasing decisions, deciding between project alternatives, evaluating different processes, and balancing environmental and social costs against economic costs. The concepts taught in this course will be increasingly valuable as students climb the carrier ladder in private industry, a non-governmental organization, a public agency, or in founding their own startup. Eventually, the ability to make informed decisions that are based in fundamental analysis of alternatives is a part of every career. As such, this course is recommended for engineering and non-engineering students alike. This course is taught exclusively online in every quarter it is offered. (Prerequisites:
MATH 19 or 20 or approved equivalent.)
Terms: Aut, Spr
| Units: 3
| UG Reqs: WAY-AQR
Instructors:
Lepech, M. (PI)
CEE 176G: Sustainability Design Thinking (CEE 276G)
Application design thinking to make sustainability compelling, impactful and realizable. Analysis of contextual, functional and human-centered design thinking techniques to promote sustainable design of products and environments by holistically considering space, form, environment, energy, economics, and health. Includes Studio project work in prototyping, modeling, testing, and realizing sustainable design ideas. Prerequisite: Enrollment limited and by Permission Number only. Email instructor for application form.
Last offered: Summer 2024
CEE 276G: Sustainability Design Thinking (CEE 176G)
Application design thinking to make sustainability compelling, impactful and realizable. Analysis of contextual, functional and human-centered design thinking techniques to promote sustainable design of products and environments by holistically considering space, form, environment, energy, economics, and health. Includes Studio project work in prototyping, modeling, testing, and realizing sustainable design ideas. Prerequisite: Enrollment limited and by Permission Number only. Email instructor for application form.
Last offered: Summer 2024
EARTHSYS 10: Introduction to Earth Systems
For non-majors and prospective Earth Systems majors. Multidisciplinary approach using the principles of geology, biology, engineering, and economics to describe how the Earth operates as an interconnected, integrated system. Goal is to understand global change on all time scales. Focus is on sciences, technological principles, and sociopolitical approaches applied to solid earth, oceans, water, energy, and food and population. Case studies: environmental degradation, loss of biodiversity, and resource sustainability.
Terms: Aut
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-SMA
EARTHSYS 290: Master's Seminar
Required of and open only to Earth Systems co-terminal MS and MA students. There are a multitude of ways to think about and define sustainability. Definitions of sustainability are determined by intersecting factors including power dynamics, economics, scientific discovery, patterns of climate migration, advances in engineering, social and political inequality. What hopes, fears, and tradeoffs are related to 'sustainability'? This course will provide space for in-depth reading and discussion related to the central question of the course - What does sustainability mean? Students will read contemporary literature by authors grappling with questions related to sustainability in various forms. Students are expected to lead class discussions on the readings for the course. Guest speakers will engage students by discussing how they apply their own notions of sustainability to their work.
Terms: Aut, Win
| Units: 3
Instructors:
Montague, D. (PI)
;
Shelton, N. (TA)
ECON 185: Data Science for Environmental Business (PUBLPOL 185, SUSTAIN 135, SUSTAIN 235)
Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the
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Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the GSB should expect a roughly standard MBA class workload. Students registering through non-GSB course numbers should expect a serious data science course where you'll learn and apply new methods. We hope to develop a pipeline of students working for the guest speakers and similar firms. Prerequisites: You must know basic statistics and regression analysis (e.g.,
ECON 102 or 108,
CS 129,
EARTHSYS 140,
HUMBIO 88,
POLISCI 150C, or
STATS 60 or 101). You should also have at least some experience with data analysis in R, python, Stata, MATLAB, or something similar. If you plan to take microeconomics (e.g.,
ECON 1, 50, or 51) or empirical environmental economics (
ECON 177), we recommend you take those either beforehand or concurrently.
Last offered: Spring 2024
ENGR 60: Engineering Economics and Sustainability (CEE 146S)
Engineering Economics is a subset of the field of economics that draws upon the logic of economics, but adds that analytical power of mathematics and statistics. The concepts developed in this course are broadly applicable to many professional and personal decisions, including making purchasing decisions, deciding between project alternatives, evaluating different processes, and balancing environmental and social costs against economic costs. The concepts taught in this course will be increasingly valuable as students climb the carrier ladder in private industry, a non-governmental organization, a public agency, or in founding their own startup. Eventually, the ability to make informed decisions that are based in fundamental analysis of alternatives is a part of every career. As such, this course is recommended for engineering and non-engineering students alike. This course is taught exclusively online in every quarter it is offered. (Prerequisites:
MATH 19 or 20 or approved equivalent.)
Terms: Aut, Win, Spr
| Units: 3
| UG Reqs: WAY-AQR
Instructors:
Lepech, M. (PI)
MGTECON 340: Data Science for Environmental Business
Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the GSB should expect roughly standard MBA class workload. Students registering through non-GSB course numbers should expect a serious data science course where you'll learn and apply new methods. We hope to develop a pipeline of students working for the guest speakers and similar firms.
Last offered: Spring 2024
MS&E 366: Market Design and Resource Allocation in Non-Profit Settings
Survey of recent research on market design and resource allocation with a focus on under-explored domains in non-profit settings. Will start with classic results in allocation, matching and social choice, and discuss them in the context of relevant objectives such as social welfare and equity. Will then draw on techniques from operations research and economics to explore the design of resource allocation platforms in emerging applications including housing, humanitarian logistics, volunteer coordination, food allocation, conservation and sustainability, and informal markets in the developing world. Prerequisite: consent of instructor; background material will be covered throughout the course as necessary. May be repeated for credit.
Terms: Aut
| Units: 3
| Repeatable
7 times
(up to 21 units total)
Instructors:
Lo, I. (PI)
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