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121 - 130 of 148 results for: MS&E

MS&E 472: Entrepreneurial Thought Leaders' Seminar

Entrepreneurial leaders share lessons from real-world experiences across entrepreneurial settings. ETL speakers include entrepreneurs, leaders from global technology companies, venture capitalists, and best-selling authors. Half-hour talks followed by half hour of class interaction. Required web discussion. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit

MS&E 476: Entrepreneurship Through the Lens of Venture Capital: Venture Capital From Past to Present

Explores changes in the venture capital industry: rise of SiliconnValley and Sand Hill Road, investing in the dot-com bubble, incubatorsnand accelerators, equity crowd funding platform, and different modelsnof venture capital. Explores how companies are funded, grown, andnscale by meeting with individuals who have been at the forefront ofnthis change. See www.lensofvc.com.
Terms: Spr | Units: 2

MS&E 478: The Spirit of Entrepreneurship

This course uses the speakers from the Entrepreneurial Thought Leader seminar (MS&E472) to drive research and discussion about what makes an entrepreneur successful. Students meet before and after MS&E 472 to prepare for and debrief after the sessions. It is part of the DFJ Entrepreneurial Leaders Fellowship, which requires an application during Fall quarter. Details can be found at: http://stvp.stanford.edu/dfj/.
Terms: Win | Units: 2
Instructors: Roizen, J. (PI)

MS&E 487: D.ORG: PROTOTYPING ORGANIZATIONAL CHANGE

d.org will send outstanding, proven design thinkers into organizations tonjump-start ¿organizational R&D¿ experiments. Students will work directlynwith senior leaders to prototype ways to reinforce culture through policies,nrituals, and behavioral norms.
Terms: Spr | Units: 2-4

MS&E 488: Prototyping and Rapid Experiment Lab

Gain a deeper understanding of the prototyping and user feedback parts of the design thinking process with a focus on rapid experimentation. Explore prototyping and user feedback that happens in later stages of iteration when design ideas are somewhat gelled, but designers are still uncertain about whether the design will meet the need and evoke the response intended. Introduce and generate creative ways to discover what users will do in the real world with the designs we envision. For seasoned students who thoroughly understand the design thinking process or, more broadly, human-centered design and now want to focus on one later stage aspect of it in more depth. An application process will happen in Fall Quarter. Please contact the d.school for more details.
Terms: Spr | Units: 4

MS&E 489: d.Leadership: Design Leadership in Context (ME 368)

d.Leadership is a course that teaches the coaching and leadership skills needed to drive good design process in groups. d.leaders will work on real projects driving design projects within organizations, and gain real world skills as they experiment with their leadership style while coaching innovation projects. Take this course if you are inspired by past design classes and want skills to lead design projects beyond Stanford. Preference given to students who have taken other Design Group or d.school classes. Admission by application. See dschool.stanford.edu/classes for more information
Terms: Win | Units: 1-3

MS&E 490: Health Operations and Policy: Thought Leaders Seminar

Thought leaders in healthcare policy and healthcare design and delivery share ideas about how to improve our healthcare system. Speakers include individuals from government, industry, and academia with a broad range of experience and perspective.
Terms: Aut | Units: 1 | Repeatable for credit (up to 99 units total)
Instructors: Brandeau, M. (PI)

MS&E 802: TGR Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

MS&E 190: Methods and Models for Policy and Strategy Analysis

Guest lectures by departmental practitioners. Emphasis is on links among theory, application, and observation. Environmental, national security, and health policy; marketing, new technology, and new business strategy analyses. Comparisons between domains and methods.

MS&E 226: "Small" Data

This course is about understanding "small data": these are datasets that allow interaction, visualization, exploration, and analysis on a local machine. The material provides an introduction to applied data analysis, with an emphasis on providing a conceptual framework for thinking about data from both statistical and machine learning perspectives. Topics will be drawn from the following list, depending on time constraints and class interest: approaches to data analysis: statistics (frequentist, Bayesian) and machine learning; binary classification; regression; bootstrapping; causal inference and experimental design; time series modeling. Class lectures will be supplemented by data-driven problem sets and a project. Prerequisites: CME 100 or MATH 51; 120, 220 or STATS 116; experience with R at the level of CME/ STATS 195 or equivalent.
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