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31 - 40 of 55 results for: MS&E

MS&E 260: Introduction to Operations Management

Operations management focuses on the effective planning, scheduling, and control of manufacturing and service entities. This course introduces students to a broad range of key issues in operations management. Topics include determination of optimal facility location, production planning, optimal timing and sizing of capacity expansion, and inventory control. Prerequisites: basic knowledge of Excel spreadsheets, probability.
Terms: Win | Units: 3

MS&E 263: Healthcare Operations Management

US health care spending is approximately 18% of GDP, growing rapidly, and driven in large part by prices and waste rather than quality and access. New approaches for improving health care delivery are urgently needed. This class focuses on the use of analytical tools to support efficient health care delivery. Topics include case studies on capacity planning, resource allocation, and scheduling. Methods include queueing, optimization, and simulation. Prerequisites: basic knowledge of Excel, probability, and optimization. For students in the Schools of Medicine, Business, and Law the course includes a variant of the curriculum with less emphasis on the technical material.
Terms: Win | Units: 3

MS&E 265: Introduction to Product Management

Product Managers define a product's functional requirements and lead cross functional teams responsible for development, launch, and ongoing improvement. Uses a learning-by-doing approach covering the following topics: changing role of a PM at different stages of the product life cycle; techniques to understand customer needs and validate demand; user experience design and testing; role of detailed product specifications; waterfall and agile methods of software development. Group projects involve the specification of a technology product though the skills taught are useful for a variety of product roles. No prior knowledge of design, engineering, or computer science required. Limited enrollment.
Terms: Win | Units: 3

MS&E 273: Venture Creation for the Real Economy (CEE 246)

CEE 246 is a unique course geared toward developing entrepreneurial businesses (both start-ups and internal ventures). This team, project-based class teaches students how to exploit emerging materials science, engineering and IT technologies to radically apply innovation to the real economy e.g., new products and services that produce real economic value for society as well as for the entrepreneurs. Areas of focus include: Sustainable Buildings and Infrastructure, Digital Cities and Communities, Clean Energy, Transportation and Logistics, Advanced Manufacturing, Digital Health Care, Web3.0, and Education. With one-on-one support from seasoned industry mentors and influential guest speakers, the course guides students through the three key elements of new venture creation: identifying opportunities, developing business plans, and determining funding sources. The class culminates with business presentations to industry experts, VCs and other investors. The goal is to equip students with the knowledge and network to create impactful business ideas, many of which have been launched from this class. To apply for this limited enrollment course, students must submit an application. Please visit the course website for additional information: https://cee.stanford.edu/venture-creation
Terms: Win | Units: 3-4

MS&E 275: Secret Foundations of Scalable Startups

Explore the foundational, strategic, and experiential knowledge that entrepreneurs wish they had before building their company. Topics can be broken down into two core themes - how to build a scalable startup and how to be the founder of such a company. In discussion with venture capitalists, students learn how to build a company's foundation to position it for large scale growth. Then, in meeting and talking with expert founders, students understand the human impact of leading fast-paced, high-growth organizations. Primarily for graduate students. Limited enrollment.
Terms: Win | Units: 3

MS&E 277A: Entrepreneurial Leadership

This Winter and Spring course sequence is part of the STVP Accel Leadership Program and explores how to lead entrepreneurial ventures including establishing startup strategy, forming organizational culture and effective team structures, securing resources, and building operating models that scale. Teams formulate a case study with a current startup CEO/senior executive that tackles a real-world business problem for their high-growth venture, and present the case on the challenge and the potential paths to resolution. The selection process for the Accel Leadership Program runs during the Autumn fall quarter each year; applications are available at https://stvp.stanford.edu/students.
Terms: Win | Units: 2-3
Instructors: Byers, T. (PI)

MS&E 284: Managing Data Science Organizations for Innovation and Impact

Most organizations are drawn to data science by the tantalizing prospects of competitive advantage and disruptive capabilities. Yet many organizations are finding that their data science teams are not providing the expected business impact, and some are beginning to question the ROI of these teams altogether. This course works to bridge the gap between the technical training that data scientists spend years mastering and the role they must play in their companies to successfully drive business impact. Drawing on inside accounts, case studies, and academic research, this course identifies the key capabilities that data science teams and their business partners must develop to successfully drive business impact. We explore how impactful data science teams have made a fundamental shift toward business understanding and impact accountability, even while ensuring that their statistics are pristine. This course lays out a practical "how to" guide for designing and enabling impact-driven data science teams, including templates and exercises for applying these practical insights in any organizations. Limited enrollment.
Terms: Win | Units: 3

MS&E 292: Health Policy Modeling (HRP 293)

Primarily for master's students; also open to undergraduates and doctoral students. The application of mathematical, statistical, economic, and systems models to problems in health policy. Areas include: disease screening, prevention, and treatment; assessment of new technologies; bioterrorism response; and drug control policies.
Terms: Win | Units: 3

MS&E 301: Dissertation Research

Prerequisite: doctoral candidacy.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

MS&E 311: Optimization (CME 307)

Terms: Win | Units: 3
Instructors: Udell, M. (PI)
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