221 - 230 of 236 results for: MS

A fast-moving, one-unit seminar. Each week a front-line operator from across the stack (Semiconductors, LLMs, Infrastructure, or Applications) delivers a 30-minute talk followed by 20 minutes of student Q&A and 20 minutes of in-class discussion. Short pre-reads and a brief web reflection after every session let you connect the guest's story to an economic lens. By the end you build mental models about the AI Supercycle, where profits really pool across chips, cloud, models, and applications, and why. No engineering or finance background is required; curiosity and debate are recommended.

This course surveys the current Financial Technology landscape through the lens of Artificial Intelligence applications. Students work in groups of four to develop an original financial technology project, research paper, or product prototype within a chosen area. They present final project posters to the class and post them online. Top posters are selected for presentation at the AI in Fintech Forum. Advanced undergraduates, graduate students, and students from other schools are welcome to enroll. Prerequisites include strong programming skills, knowledge of the design process, and applied statistics; no formal finance experience is required. Enrollment is capped at 3 units, and the course is letter graded.

This course offers a concise, in-depth exploration of entrepreneurship in decentralized computing, focusing on the rapid advance of decentralized blockchain technology since Bitcoin's release in 2009. We'll examine relevant technological advancements and their market opportunities in finance, AI, social media, gaming, and open computing. Discussions will differentiate lasting innovations from transient trends, helping students sort real advances from headline-grabbing volatility, speculation, and fraud. The course features guest speakers from top blockchain startups and venture capital firms, fostering actionable real-world insights. Key topics include blockchain foundations, emerging trends in scalable infrastructure, AI, verifiable computation, Decentralized Finance (DeFi), Real World Assets (RWA), decentralized governance (e.g. DAOs), and Decentralized Physical Infrastructure (DePIN). The course will equip students with foundational knowledge for potential entrepreneurial ventures based on distributed computing.

In-class lectures and guest speakers who work in the Buy-Side to explore the synergies amongst the various players, roles, risk appetites, and investment time and return horizons. We aim to see the forest and the different species of trees growing in the forest known as the Buy-Side, so as to develop a perspective as financial engineers for how the ecosystem functions, what risks it digests, how it generates capital at what rate and amount for the Sell-Side, and how impacts in the real economy are reflected - or should be reflected - in the culture and risk models adopted by the Buy-Side participants.

Current research and related topics presented by doctoral students and invited speakers. May be repeated for credit.

Students work on projects to analyze and design various aspects of healthcare delivery including hospital patient flow, clinical risk prediction, physician networks, clinical outcomes, reimbursement incentives, and community health. Students work in small teams under the supervision of the course instructor and partners at the Lucille Packard Children's Hospital, the Stanford Hospital, and other regional healthcare providers. Prerequisite: 263 and a mandatory meeting during the preceding Winter quarter to choose projects.

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.

Eight-week long program designed to help audacious builders and aspiring VCs from across educational backgrounds (undergraduates, masters, PhD) break into the entrepreneurial world. We help students identify, evaluate, and capitalize on venture opportunities. Strong emphasis on project-based work, relationship-building, and international presence in venture capital, with the cohort split into teams, each assigned to a VC mentor to help with hands-on projects involving identifying entrepreneurial talent, world-building, due diligence, and more. Each VC mentor will have a concentration in an industry of their choice. This will help guide our students to focus on a series of two-week projects within a particular domain. It will be taught this Spring.

Leadership Lab is a one-of-a-kind, leadership course that immerses you in real-world leadership challenges. This non-traditional course offers practical experiences not typically covered in traditional leadership classrooms. This hands-on learning experience is crucial for Stanford students who want to combine technical know-how with leadership in cross-functional teams. Throughout the quarter, students will be immersed in a range of experiences where they will be asked to apply what they are learning live. Some examples from past years: working directly with a business leadership team to implement organizational changes; learning practical leadership techniques from professional sports teams; focusing on the art of gathering and how to leverage physical space, context and analogue artifacts to guide others effectively, without formal authority; and working to articulate the core values in yourself as a leader and in your team to build a genuine sense of shared purpose. Leadership Lab is a must-take class for anyone eager to develop practical leadership skills that stick, no matter the environment. There are only 32 spots available. Submit your application by March 10, 2026 at: https://forms.gle/B4sFZxjTaN4fFvRQ9. For questions, reach out to the teaching team.