AA 245: Stability of Structures
This course covers the fundamentals of buckling and stability of structures, using potential energy and direct equilibrium approaches. Structural stability theory has applications in civil, mechanical, and aerospace engineering. Topics include: buckling of columns; imperfection sensitivity; classification of instabilities into snap-through and bifurcations; elasto-plastic buckling; buckling of plates and shells; localization and wrinkling; post-buckling behavior. Pre-requisites:
AA 151 or
AA 240 or similar.
Terms: Spr
| Units: 3
Instructors:
Arya, M. (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
CS 245: Principles of Data-Intensive Systems
Most important computer applications have to reliably manage and manipulate datasets. This course covers the architecture of modern data storage and processing systems, including relational databases, cluster computing frameworks, streaming systems and machine learning systems. Topics include storage management, query optimization, transactions, concurrency, fault recovery, and parallel processing, with a focus on the key design ideas shared across many types of data-intensive systems. Prerequisites:
CS 145, 161.
Last offered: Winter 2022
CS 345S: Data-intensive Systems for the Next 1000x
The last decade saw enormous shifts in the design of large-scale data-intensive systems due to the rise of Internet services, cloud computing, and Big Data processing. Where will we see the next 1000x increases in scale and data volume, and how should data-intensive systems accordingly evolve? This course will critically examine a range of trends, including the Internet of Things, drones, smart cities, and emerging hardware capabilities, through the lens of software systems research and design. Students will perform a comparative analysis by reading and discussing cutting-edge research while performing their own original research. Prerequisites: Strong background in software systems, especially databases (
CS 245) and distributed systems (
CS 244B), and/or machine learning (
CS 229). Undergraduates who have completed
CS 245 are strongly encouraged to attend.
Last offered: Autumn 2016
CS 349D: Cloud Computing Technology
The largest change in the computer industry over the past twenty years has arguably been the emergence of cloud computing: organizations are increasingly developing their workloads to be cloud native, using global-scale compute, storage, and communication services that were simply not possible with private infrastructure. This research seminar covers the latest technical advances and open issues in cloud computing, including cloud infrastructure for AI inference and training, cloud databases and data lakes, resource management, serverless computing, confidential computing, multi-cloud computing, and AI for cloud management. Students will propose and develop an original research project in cloud computing. Prerequisites: Background in computer systems recommended but not required (
CS 111/240, 144/244, 244B
or 245).
Terms: Spr
| Units: 3
Instructors:
Kozyrakis, C. (PI)
DESIGN 245: Redesigning Finance
Why does finance need redesigning? Finance is something we all have to navigate yet remains complex and elusive to crack for many. It's a system that often does the opposite of design thinking: breaks down around nuance and reinforces exclusionary practices. In a world bursting with apps, products, solutions - why is this problem space still not "solved"? Why finance needs redesigning is one of the many questions we will investigate in this course. Students will explore the history of financial institutions in this country, take their design thinking skills into the field, and reimagine solutions beyond today's reality. Past years' classes have given students access to executives from Apple, Munich Reinsurance, Bank of the West, Silicon Valley Bank and Wells Fargo, the community of Paradise California, pioneering small-to-medium sized businesses founded by diverse trailblazers, and professional and student athletes seeking to manage personal finance and wealth.
Terms: Spr
| Units: 3-4
Instructors:
Cahan, B. (PI)
;
Middleton, B. (PI)
ENGR 245: The Lean LaunchPad: Getting Your Lean Startup Off the Ground
Learn how to turn a technical idea from a lab, research, or vision into a successful business using the Lean Launchpad process (business model canvas, customer development, running experiments, and agile engineering.) Hands-on experiential class. 15+ hours per week talking to customers, regulators and partners outside the classroom, plus time building minimal viable products. This class is the basis of the National Science Foundation I-Corps with a focus on understanding all the components to build for deep technology and life science applications. Team applications required in March. Proposals may be software, hardware, or service of any kind. See course website
http://leanlaunchpad.stanford.edu/. Prerequisite: interest in and passion for exploring whether your technology idea can become a real company. Limited enrollment.
Terms: Win, Spr
| Units: 4-5
Instructors:
Blank, S. (PI)
;
Epstein, J. (PI)
;
Hershenson, M. (PI)
...
more instructors for ENGR 245 »
Instructors:
Blank, S. (PI)
;
Epstein, J. (PI)
;
Hershenson, M. (PI)
;
Weinstein, S. (PI)
;
Bottazzini, F. (TA)
;
Ellsworth, C. (TA)
;
Jain, S. (TA)
;
Yu, S. (TA)
MS&E 245A: Investment Science
Basic concepts of modern quantitative finance and investments. Focus is on the financial theory and empirical evidence that are useful for investment decisions. Topics: basic interest rates; evaluating investments: present value and internal rate of return; fixed-income markets: bonds, yield, duration, portfolio immunization; term structure of interest rates; measuring risk: volatility and value at risk; designing optimal portfolios; risk-return tradeoff: capital asset pricing model and extensions. No prior knowledge of finance is required. Concepts are applied in a stock market simulation with real data. Prerequisite: basic preparation in probability, statistics, and optimization.
Terms: Aut
| Units: 3-4
Instructors:
Pelger, M. (PI)
;
Archetti, E. (TA)
;
Duan, J. (TA)
...
more instructors for MS&E 245A »
Instructors:
Pelger, M. (PI)
;
Archetti, E. (TA)
;
Duan, J. (TA)
;
Fan, Y. (TA)
;
Lerner, S. (TA)
;
Zanotti, G. (TA)
MS&E 245B: Advanced Investment Science
Formerly MS&E 342. Topics: forwards and futures contracts, continuous and discrete time models of stock price behavior, geometric Brownian motion, Ito's lemma, basic options theory, Black-Scholes equation, advanced options techniques, models and applications of stochastic interest rate processes, and optimal portfolio growth. Computational issues and general theory. Teams work on independent projects. Prerequisite: 245A.
Terms: Spr
| Units: 3
Instructors:
Sadhwani, A. (PI)
;
Epstein, E. (TA)
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