1 - 10 of 164 results for: MS&E

Deliberative democracy is a political theory that holds that democracy should be based on informed, respectful, and inclusive public deliberation. In this SoCo course, we explore the relationship between artificial intelligence (AI) and deliberative democracy, and examine how AI can be used to support and enhance the democratic process through deliberative democracy. This course will focus on the use of AI in the Stanford Online Deliberation Platform (a collaboration between the Crowdsourced Democracy Team and Deliberative Democracy Lab, both at Stanford), the ethics of AI and democracy, and the potential for AI to support deliberation and participation. The course will also explore the challenges and limitations of using AI in a democratic context and the need for effective regulation and governance of AI.

Fundamental concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, belief networks, random variables, conditioning, and expectation. The course is fast-paced, but it has no prerequisites.

Focus on learning about new organizations, especially ventures (firms that seek high growth and substantial impact). Major companies like Nvidia, Google, and Moderna got their start as ventures. Ventures are not small businesses like local restaurants, dry cleaners, and boutique shops. Ventures are distinct from large corporations that have existing strategies, many employees, and public-company responsibilities. Ventures are their own unique type of organization - a type that you might join when you leave Stanford. Guided by accessible research, the focus is on strategy and organization of ventures which includes strategies in a variety of businesses, ranging ecosystems and platforms to physical goods and social entrepreneurship, including how entrepreneurs use experimentation, problem solving and other forms of learning to figure out (or not) successful strategies. Covers key challenges like making fast decisions, forming networks, and raising money. Learn about various technologies and about how ventures "work". Although the emphasis is on technology-based ventures, the course applies to ventures in general, and to many large organizations, especially innovative ones, blending economics and organization theory with a touch of cognitive psychology. It's also a window on conducting academic research and using AI. The ultimate intent of this course is to provide an exciting introduction to Stanford that blends theory, research, and real-world insights about organizations like ventures where innovation and impact matter.

With the recent developments in generative AI, the value in human creativity is increasingly a focus. Course draws from lessons from creativity in the arts to teach engineering students methods for creativity derived from musicians and artists. For our engineering students to learn creativity as a skill that is distinguishable and differentiated from generative artificial intelligence, this course explores, for instance the anatomy of a Hollywood pop song and the process behind the creation of globally impactful art. Students learn how to transfer these skills into the creation of engaging entrepreneurial solutions, for effective storytelling, and in developing their unique personal and professional stories. Students learn skills to unlock creative power which they will apply in the course as a design vehicle for a wide range of applications in engineering, self-expression, technological exploration, and the development of solutions that are centered around human connection and emotional engagement with the user. Sessions are practical, drawing tools and lessons from interdisciplinary individuals with wide-ranging careers. No artistic or entrepreneurial experience necessary.

Extension of the Xfund Ethics Fellows program. Serves as an opportunity for students to explore what it means to create and work for principled, entrepreneurial businesses. Through readings and peer-led discussions, students define their personal set of values and principles to serve as a guide in shaping future teams and workplaces. Prerequisite: admission to Xfund Ethics Fellows Program. See https://stvp.stanford.edu/xef.

Preference to sophomores. Science, economics, and politics of international environmental policy. Current negotiations on global climate change, including actors and potential solutions. Sources include briefing materials used in international negotiations and the U.S. Congress.

MS&E seniors carry out a major project in groups of four, applying techniques and concepts learned in the major. Project work includes problem identification and definition, data collection and synthesis, modeling, development of feasible solutions, and mandatory in-person presentation of results on last day of classes. Satisfies the WIM requirement for MS&E majors. This is a Cardinal Course certified by the Haas Center for Public Service.

Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite: CME 100 or MATH 51.

Formulation and computational analysis of linear, discrete, and other optimization problems. Strong emphasis on data science and machine learning applications, as well as applications in matching and pricing in online markets. Prerequisite: CME 100 or MATH 51.