MS&E 313: Almost Linear Time Graph Algorithms (CS 269G)
Over the past decade there has been an explosion in activity in designing new provably efficient fast graph algorithms. Leveraging techniques from disparate areas of computer science and optimization researchers have made great strides on improving upon the best known running times for fundamental optimization problems on graphs, in many cases breaking longstanding barriers to efficient algorithm design. In this course we will survey these results and cover the key algorithmic tools they leverage to achieve these breakthroughs. Possible topics include but are not limited to, spectral graph theory, sparsification, oblivious routing, local partitioning, Laplacian system solving, and maximum flow. Prerequisites: calculus and linear algebra.
Terms: Aut

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Sidford, A. (PI)
MS&E 334: Topics in Social Data
This course provides a indepth survey of methods research for the analysis of largescale social and behavioral data. There will be a particular focus on recent developments in discrete choice theory and preference learning. Connections will be made to graphtheoretic investigations common in the study of social networks. Topics will include random utility models, itemresponse theory, rank aggregation, centrality and ranking on graphs, and random graphs. The course is intended for Ph.D. students, but masters students interested in research topics are welcome. Recommended: 221, 226,
CS161, or equivalents.
Terms: Aut

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Ugander, J. (PI)
;
Hong, J. (TA)
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 theorybuilding from multiple cases. PhD students only. Prerequisite: Consent of instructor.
Terms: Aut, Win, Spr

Units: 1

Grading: Letter or Credit/No Credit
Instructors:
Eisenhardt, K. (PI)
MS&E 387: Design of Field Research Methods
Field research involves collecting original data (qualitative and/or quantitative) in field sites. This course combines informal lecture and discussion with practical exercises to build specific skills for conducting field research in organizations. Readings include books and papers about research methodology and articles that provide exemplars of field research. Specific topics covered include: the role of theory in field research, variance versus process models, collecting and analyzing different kinds of data (observation, interview, survey), levels of analysis, construct development and validity, blending qualitative and quantitative data (in a paper, a study, or a career), and writing up field research for publication. Students will develop intuition about the contingent relationship between the nature of the research question and the field research methods used to answer it as a foundation for conducting original field research.
Terms: Aut

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Valentine, M. (PI)
MS&E 389: Seminar on Organizational Theory (EDUC 375A, SOC 363A)
The social science literature on organizations assessed through consideration of the major theoretical traditions and lines of research predominant in the field. For PhD students only.
Terms: Aut

Units: 5

Grading: Letter (ABCD/NP)
Instructors:
Powell, W. (PI)
MS&E 390: Doctoral Research Seminar in Health Systems Modeling
Restricted to PhD students, or by consent of instructor. Doctoral research seminar covering current topics in health policy, health systems modeling, and health innovation. May be repeated for credit.
Terms: Aut, Win, Spr

Units: 13

Repeatable for credit

Grading: Satisfactory/No Credit
Instructors:
Brandeau, M. (PI)
MS&E 408: Directed Reading and Research
Directed reading and research on a subject of mutual interest to student and faculty member. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 115

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Ashlagi, I. (PI)
;
Bambos, N. (PI)
;
Blanchet Mancilla, J. (PI)
...
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Instructors:
Ashlagi, I. (PI)
;
Bambos, N. (PI)
;
Blanchet Mancilla, J. (PI)
;
Brandeau, M. (PI)
;
Byers, T. (PI)
;
Chiu, S. (PI)
;
Eesley, C. (PI)
;
Eisenhardt, K. (PI)
;
Giesecke, K. (PI)
;
Glynn, P. (PI)
;
Goel, A. (PI)
;
Goel, S. (PI)
;
Hinds, P. (PI)
;
Johari, R. (PI)
;
Katila, R. (PI)
;
McGinn, R. (PI)
;
PateCornell, E. (PI)
;
Pelger, M. (PI)
;
Saberi, A. (PI)
;
Seelig, T. (PI)
;
Shachter, R. (PI)
;
Sidford, A. (PI)
;
Sutton, R. (PI)
;
Sweeney, J. (PI)
;
Tse, E. (PI)
;
Ugander, J. (PI)
;
Valentine, M. (PI)
;
Van Roy, B. (PI)
;
Weyant, J. (PI)
;
Ye, Y. (PI)
MS&E 454: Decision Analysis Seminar
Current research and related topics presented by doctoral students and invited speakers. May be repeated for credit. Prerequisite: 252.
Terms: Aut, Win, Spr

Units: 1

Repeatable for credit

Grading: Satisfactory/No Credit
Instructors:
Shachter, R. (PI)
MS&E 472: Entrepreneurial Thought Leaders' Seminar
Learn about entrepreneurship, innovation, culture, startups and strategy from a diverse lineup of accomplished leaders and entrepreneurs in venture capital, technology, education, philanthropy and more. Open to all Stanford students. Required weekly assignment. May be repeated for credit.
Terms: Aut, Win, Spr

Units: 1

Repeatable for credit

Grading: Satisfactory/No Credit
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