CEE 233E: Studio 5: Integrated Design Capstone Predesign (CEE 133E)
This is the first part of the Architecture Integrated Design Capstone. In this course, students begin the schematic design, site planning, and design research for
CEE 133F: Integrated Design Capstone. Students will study the site, climate, and built context through analytical diagrams. Students will also engage in precedent studies to help understand how historic examples of similar building types could influence their design. Using these studies and the analytical diagrams, students will create preliminary site plans and conceptual drawings and models that will become the foundation of the architectural work developed collaboratively in
CEE 133F.
Terms: Win
| Units: 3
Instructors:
Cambon, P. (PI)
;
Wood, E. (PI)
CEE 240S: Building Trust
Across the construction industry, diverse institutional actors - clients, contractors, subcontractors, and municipal organizations - come together to shape complex projects. However, these projects are often marked by challenges of coordination and underlying distrust. In this seminar, students will have the opportunity to develop new skills and sensibilities that foster collaboration and innovation. Through guided engagements, students will co-create practices that reimagine how construction projects are realized, uncovering possible ways to transform relationships and outcomes alike. Drawing on real-world case studies, this seminar emphasizes the importance of cultivating shared commitments and reshaping traditional norms to establish a new standard of trust, cooperation, and excellence in the construction industry.
Terms: Win
| Units: 2
Instructors:
Cooperman, A. (PI)
;
Fischer, M. (PI)
;
Flores Labra, C. (PI)
;
Bazan Montalto, A. (TA)
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Instructors:
Cooperman, A. (PI)
;
Fischer, M. (PI)
;
Flores Labra, C. (PI)
;
Bazan Montalto, A. (TA)
CEE 241B: Infrastructure Project Delivery (CEE 141B)
Infrastructure is critical to the economy, global competitiveness and quality of life. Topics include transportation, social infrastructure, energy, water and communications sectors. Analysis of how projects are designed, constructed, operated, and maintained. Focus is on public works projects globally, alternative project delivery approaches and organizational strategies. Case studies include three real infrastructure megaprojects managed by the Instructor while in Industry. Nine integrated guest lecturers from Industry supplement specific functional areas of expertise. Student teams prepare competing design/build/finance/operate/maintain (DBFOM) proposals for a large infrastructure project.
Terms: Win
| Units: 3
Instructors:
Sedar, B. (PI)
;
Alshareef, Y. (TA)
CEE 242R: Project Risk Analysis
Teaches principles and methods for quantitative modeling and mitigation of risks in project planning, design, construction and operation, using new MS Excel capabilities and standardized probability distributions. Several case studies will be covered, including ongoing work with PG&E to roll up operational risks.
Terms: Win
| Units: 3
Instructors:
Savage, S. (PI)
CEE 245E: Equitable Infrastructure Solutions (CEE 145E)
The built environment enables access to economic and social mobility, however access to such systems is not uniform across communities. This creates infrastructure inequity. Climate change threatens to exacerbate existing inequities in interdependent infrastructure systems such as energy, transportation, air, and water/wastewater to name a few. The engineer of tomorrow must understand the inequities in the system and the policies that produced them in order to develop robust and innovative approaches to design and manage future systems. This course will introduce students to the prominent theories of equity and environmental justice with a focus on implementation for infrastructure. Students will learn the limitations of decontextualized technical engineering solutions and their impacts on society. Upon completion of the course, students will understand how to abstract and develop models that incorporate elements of equity and justice in civil engineering systems. This course is design
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The built environment enables access to economic and social mobility, however access to such systems is not uniform across communities. This creates infrastructure inequity. Climate change threatens to exacerbate existing inequities in interdependent infrastructure systems such as energy, transportation, air, and water/wastewater to name a few. The engineer of tomorrow must understand the inequities in the system and the policies that produced them in order to develop robust and innovative approaches to design and manage future systems. This course will introduce students to the prominent theories of equity and environmental justice with a focus on implementation for infrastructure. Students will learn the limitations of decontextualized technical engineering solutions and their impacts on society. Upon completion of the course, students will understand how to abstract and develop models that incorporate elements of equity and justice in civil engineering systems. This course is designed to prepare next generation engineers for careers in which they will participate in projects that directly affect historically marginalized communities.Who can take the course: It is going to be a graduate course, so students should have completed an engineering degree OR are in their final year of their degreePrerequisites: There are no pre-requisites, however familiarity with engineered systems is expected
Terms: Win
| Units: 3
CEE 246: Venture Creation for the Real Economy (MS&E 273)
A project-based course where teams of four prepare for the fundraising and launch of an entrepreneurial venture in the "real economy" - that is, startups targeting users in construction and sustainable buildings, manufacturing, healthcare, transportation, energy, infrastructure financing, and manufacturing 4.0, among others. Students gain the experience of early-stage entrepreneurs as they move through stages of team building, opportunity assessment, product-market fit analysis, business model architecture, product planning and development, go-to-market strategy, financial modeling, and fundraising planning. Teams use current AI tools to accelerate the development of their plans and presentations. The course includes weekly workshops, guest presentations from seasoned entrepreneurs and industry experts, weekly meetings with the teaching team, and one-on-one support from dedicated business mentors and coaches. It draws on detailed online material from the CGOE Idea-to-Market program (I2
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A project-based course where teams of four prepare for the fundraising and launch of an entrepreneurial venture in the "real economy" - that is, startups targeting users in construction and sustainable buildings, manufacturing, healthcare, transportation, energy, infrastructure financing, and manufacturing 4.0, among others. Students gain the experience of early-stage entrepreneurs as they move through stages of team building, opportunity assessment, product-market fit analysis, business model architecture, product planning and development, go-to-market strategy, financial modeling, and fundraising planning. Teams use current AI tools to accelerate the development of their plans and presentations. The course includes weekly workshops, guest presentations from seasoned entrepreneurs and industry experts, weekly meetings with the teaching team, and one-on-one support from dedicated business mentors and coaches. It draws on detailed online material from the CGOE Idea-to-Market program (I2M). The experience features three pitches to panels of VCs and other industry experts - starting with Opportunity Assessment, then Operations and Financial Modeling, and concluding with an Investor Pitch to Silicon Valley VCs and other investors. By the end of the class, students are equipped with the knowledge and network to evaluate and create impactful business ideas, many of which launch from this class. Open to all Stanford students, with a preference for graduate students. No prerequisites. For more information and team applications, visit the course website:
https://cee.stanford.edu/venture-creation.
Terms: Win
| Units: 3-4
CEE 246F: Emerson Consequential Scholars
This Autumn course is part of the Emerson Consequential Scholars Program and explores how to engage in consequential entrepreneurial ventures including establishing a startup, forming organizational culture and effective team structures, securing resources, and building operating models that scale. The Emerson Consequential Scholars Program is exclusively open to PhD students. The selection process for the Emerson Consequential Scholars Program runs during the Spring quarter each year; applications are available at
https://stvp.stanford.edu/emerson-consequential-scholars-program
Terms: Aut, Win
| Units: 1
Instructors:
Byers, T. (PI)
;
Lepech, M. (PI)
CEE 246P: Opportunities in PropTech and ConTech Seminar
PropTech and ConTech have disrupted the way we buy, sell, rent, manage, build and design residential/commercial properties, and construction projects in general. Real Estate and Construction industries were lagging behind the adoption of technology and innovation. Weekly speakers from Entrepreneurs and Founders to VC's of PropTech and ConTech companies will share their experiences in the sector and give insights of current trends and opportunities. Entrepreneurs from companies in different stages (pre-seed, seed, Series A, and beyond) will talk about their experiences, challenges, lessons learned and future opportunities. Venture Capital speakers will explain how they source, evaluate, perform due diligence and invest in companies.Please email: nelsonkoen@gmail.com the year and program you are enrolled in and reason for your interest in taking this course.
Terms: Win
| Units: 1
Instructors:
Koen, N. (PI)
;
Espriu, C. (TA)
CEE 247C: Computer Vision for the Built Environment (CEE 147C)
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.
Terms: Win
| Units: 3-4
Instructors:
Armeni, I. (PI)
;
Deb Sarkar, S. (TA)
CEE 254: Data Analytics for Physical Systems (CEE 154)
This course introduces practical applications of data analytics and machine learning from understanding sensor data to extracting information and decision making in the context of sensed physical systems. Many civil engineering applications involve complex physical systems, such as buildings, transportation, and infrastructure systems, which are integral to urban systems and human activities. Emerging data science techniques and rapidly growing data about these systems have enabled us to better understand them and make informed decisions. In this course, students will work with real-world data to learn about challenges in analyzing data, applications of statistical analysis and machine learning techniques using MATLAB, and limitations of the outcomes in domain-specific contexts. Topics include data visualization, noise cleansing, frequency domain analysis, forward and inverse modeling, feature extraction, machine learning, and error analysis. Prerequisites:
CS106A,
CME 100/
Math51,
Stats110/101, or equivalent.
Terms: Win
| Units: 3-4
