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121 - 130 of 154 results for: MS&E

MS&E 365: Advanced Topics in Market Design

Primarily for doctoral students. Focus on quantitative models dealing with sustainability and related to operations management. Prerequisite: consent of instructor. May be repeated for credit.
Terms: Spr | Units: 3 | Repeatable for credit | Grading: Letter or Credit/No Credit
Instructors: Ashlagi, I. (PI)

MS&E 370: Current Topics in Strategy, Innovation and Entrepreneurship

This course will cover focused exploration of contemporary readings and classics as relevant in strategy, innovation and entrepreneurship such as platforms, ecosystems, institutional logics, and strategic "games" in nascent markets. The course will include both content and methods discussions, including theory-building from multiple cases. PhD students only. Prerequisite: Consent of instructor.
Terms: Aut, Win, Spr | Units: 1 | Grading: Letter or Credit/No Credit

MS&E 371: Innovation and Strategic Change

Doctoral research seminar, limited to Ph.D. students. Current research on innovation strategy. Topics: scientific discovery, innovation search, organizational learning, evolutionary approaches, and incremental and radical change. Topics change yearly. Recommended: course in statistics or research methods.
Terms: alternate years, given next year, last offered Winter 2018 | Units: 2-3 | Repeatable for credit | Grading: Letter or Credit/No Credit

MS&E 372: Entrepreneurship Doctoral Research Seminar

Classic and current research on entrepreneurship. Limited enrollment, restricted to PhD students. Prerequisites: SOC 363 or equivalent, and permission of instructor.
Terms: not given this year, last offered Spring 2018 | Units: 1-3 | Grading: Letter or Credit/No Credit

MS&E 374: Cross Border Regional Innovation

This is an advanced research seminar class that is restricted to students that had taken MS&E 274. Disruptive innovation is the realization of new value proposition through establishment of a new ecosystem. Value proposition depends on the culture and social value in a particular region; while the ability to establish the ecosystem to realize the value proposition is highly dependent on the firm¿s knowledge and skills to operate effectively under the political, social, and economic structure of that particular region. Therefore cross border and regional innovations in different regions will take different path. This course will examine cases that cover innovations in developing economy, cross border e-commerce, and international business groups.
Terms: not given this year, last offered Spring 2016 | Units: 3 | Grading: Letter or Credit/No Credit

MS&E 376: Strategy Doctoral Research Seminar

Classic and current research on business and corporate strategy. Limited enrollment, restricted to PhD students. Course may be repeated for credit.
Terms: Win | Units: 2-3 | Repeatable for credit | Grading: Letter (ABCD/NP)
Instructors: Katila, R. (PI)

MS&E 379: Social Data Analysis

Applied introduction to good empirical research and causal inference for social scientists and others analyzing social data. Designed to provide an introduction to some of the most commonly used quantitative techniques for causal inference in social data including: survey design and inference, regression and propensity score matching, instrumental variables, differences-in-differences, regression discontinuity designs, standard errors, and the analysis of big data. Applications: organizations, entrepreneurship, public policy, innovation, economics, online education, visual representations, communication, critique and design of figures, graphs. Does not explicitly cover social network structure or machine learning as these topics are well-covered elsewhere. Students work in groups and individually to design and carry out a small research project based on the use of analytics, large data sets, or other digital innovations related to business or other organizations. Students become acquai more »
Applied introduction to good empirical research and causal inference for social scientists and others analyzing social data. Designed to provide an introduction to some of the most commonly used quantitative techniques for causal inference in social data including: survey design and inference, regression and propensity score matching, instrumental variables, differences-in-differences, regression discontinuity designs, standard errors, and the analysis of big data. Applications: organizations, entrepreneurship, public policy, innovation, economics, online education, visual representations, communication, critique and design of figures, graphs. Does not explicitly cover social network structure or machine learning as these topics are well-covered elsewhere. Students work in groups and individually to design and carry out a small research project based on the use of analytics, large data sets, or other digital innovations related to business or other organizations. Students become acquainted with a variety of approaches to research design, and are helped to develop their own research projects. Course prioritizes a thorough substantively grounded understanding of assumptions over mathematical proofs and derivations. Aimed at PhD students, but open by permission to Master's students and to students in other Stanford programs with relevant coursework or experience in analytics and statistics.
Terms: not given this year, last offered Spring 2017 | Units: 3 | Grading: Letter or Credit/No Credit

MS&E 380: Doctoral Research Seminar in Organizations

Limited to Ph.D. students. Topics from current published literature and working papers. Content varies. Prerequisite: consent of instructor.
Terms: not given this year, last offered Autumn 2013 | Units: 3 | Repeatable for credit | Grading: Letter or Credit/No Credit

MS&E 381: Research in Work, Technology, and Organization

Enrollment limited to Ph.D. students. Topics from current published literature and working papers. Content varies. Prerequisite: consent of instructor.
Terms: not given this year, last offered Spring 2018 | Units: 2-3 | Repeatable for credit | Grading: Letter or Credit/No Credit

MS&E 383: Doctoral Seminar on Ethnographic Research

For graduate students; upper-level undergraduates with consent of instructor. Interviewing and participant observation. Techniques for taking, managing, and analyzing field notes and other qualitative data. Methods texts and ethnographies offer examples of how to analyze and communicate ethnographic data. Prerequisite: consent of instructor.
Terms: not given this year, last offered Spring 2016 | Units: 3 | Grading: Letter (ABCD/NP)
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