161 - 170 of 236 results for: MS

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.

This course teaches the essentials for a startup founder to build a valuable patent portfolio and avoid a patent infringement lawsuit. Jeffrey Schox and Diana Lin are partners at Schox Patent Group, which is the law firm that wrote the patents for Coinbase, Cruise, Duo, Joby, Twilio and 500+ other startups that have collectively raised over $10B in venture capital. This course, which was previously called ME 208, is appropriate for students with any engineering background. For those students who are interested in a career in Patent Law, please note that this course is a prerequisite for ME238 Patent Prosecution. There are no prerequisites for this course, but the student must be at the senior or graduate level.

Organization theory; concepts and functions of management; behavior of the individual, work group, and organization. Emphasis is on cases and related discussion.

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.

Focuses on understanding the challenges innovators and adopters of technologies face at various stages of technology maturity, the tools and strategic choices organizations have at their disposal, exemplified across a range of technologies including quantum, robotics, augmented reality, AI, cloud, sustainability and biotechnology, autonomous driving 5G/6G, future of mobility (EV, aircrafts), metamaterials.

Building a successful business requires more than a great idea; every new for-profit venture must address significant policy, ethical, and legal considerations as it builds products for global markets. Using interactive presentations, analysis of current events, input from established experts, and practical tools and frameworks, this course equips students to make these challenging choices. Students learn the intricacies of different business functions and how they uniquely analyze issues. We navigate policy problem solving within a corporation by examining trade-offs and cost-benefit analyses of technology product design. Representative topics that may be covered include: creation and maintenance of company values and their impact on policy decisions; how different interpretations of the same law result in different commercial outcomes; privacy considerations; trust and safety concerns; national security implications; dark patterns and deceptive marketing; role of government policy and politics; and corporate social responsibility programs in theory and in practice.

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.

This project-based course provides a focused, collaborative environment and leverages the resources of Stanford's Gordian Knot Center for National Security Innovation to empower student teams to address critical defense and national security challenges. Students apply as a team with the national security challenge they aim to address. Teams take a hands-on approach requiring close engagement with government agency end-users. Course time: no scheduled meeting times - to be arranged by teams with instructors. An in-person orientation will be held at the Gordian Knot Center during the first week of the quarter.

This experiential learning course engages students across disciplines in the real-world dynamics of how emerging technologies - AI, semiconductors, biotech, quantum science, space, cyber, and more - are reshaping international competition. Centered on strengthening the strategic positions of the United States and its allies and partners, student teams take on urgent policy challenges with global implications. The course fuses AI tools, stakeholder interviews, and entrepreneurial approaches to help teams move faster and generate solutions that matter. Over 10 weeks, students work in teams to develop and publish a policy report aimed at informing current debates and decisions. In-person attendance is required. Teams must also hold weekly office hours with instructors, scheduled outside regular class sessions. Students enrolled for 5 units will go further by crafting an influence strategy - identifying how to move their work into real policy conversations and decision-making channels.