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OIT 262: Operations

Operations is the design and management of processes for production and delivery of services or goods. This course covers fundamental concepts and tools for excellent operations: Process Analysis - analysis, improvement, and design of operational processes; aligning operational processes with your business model. Managing variability and uncertainty in demand and supply. Climate Change - challenge and solutions. Quality Management - quantitative tools to measure and manage quality; best practices in quality management and innovation processes. Value Chain - managing flows of material and information through global value chains. The course has heavy analytic and quantitative work. No prior knowledge of operations is expected.
Terms: Spr | Units: 3

OIT 272: Online Marketplaces

The course studies one of the most impactful business models in recent decades. We will study what makes an online marketplace successful, from network effects to reducing search and matching frictions, fostering trust, and effective ways to monetize. Students will explore both strategic decisions and the inner operations of these platforms, getting hands-on with the analytical and data science tools that power them. We will look at well-known models like those of Amazon, Google, Uber, and Airbnb, while also touching on the latest trends in the space. A particular emphasis will be on how AI is reshaping the way online marketplaces interact with users and the broader changes it might bring. Overall, the course will provide basic business knowledge for future investors, entrepreneurs, product managers, and anyone interested on online marketplaces.
Terms: Spr | Units: 2

OIT 281: Operations, Innovation, and Technology II

This course is the second part of the two-quarter course series (OIT 280 & OIT 281) and expands on the learnings developed in Part I: OIT 280. Students will learn how to structure business models and innovation processes and will apply the frameworks in a team project. A team project on an innovation challenge selected by students will provide a real world experience applying these frameworks. We encourage diverse innovation challenges that could lead to one of the following: a concept for a new venture, a critical evaluation of an existing business model with a recommendation for a change, a critical evaluation of operational processes for an existing organization with recommendations for changes. Students will develop a project proposal as part of OIT280 and they will launch and implement the project in OIT281. In addition, students will examine through a series of case studies how organizations develop operating models that implement innovative business models and integrate operations, innovation and technology. Key Topics: business model analysis and design, design thinking, lean startup, precedent-based innovation, technology readiness level assessment, AI and 3D printing, value chain innovation, innovation process applications.
Terms: Spr | Units: 3

OIT 334: Design for Extreme Affordability

Design for Extreme Affordability ('Extreme') is for students who have a passion for social impact, and want to experience designing products and services that address issues of global poverty, through tackling real world challenges in collaboration with low-resource communities. Extreme is a two-quarter graduate level sequence cross listed by the Graduate School of Business (OIT333/334) and the School of Engineering (ME206A/B). The program is hosted by the d.school and open to students from all Stanford schools. This multidisciplinary team, fast paced, project based experience creates an enabling environment in which students learn to design products and services that will change the lives of the world's poorest citizens. Students work directly with course partners, and the communities they serve, on real world problems, the culmination of which is actual implementation and real impact. Topics include design thinking, product and service design, rapid prototype engineering and testing, business modeling, social entrepreneurship, team dynamics, impact measurement, operations planning and ethics. Products and services designed in the class have impacted well over 150 million people worldwide.Limited enrollment by application. Must sign up for both OIT333/ME206A (Winter) and OIT334/ME206B (Spring).See extreme.stanford.edu for more details and application process which opens in October.Cardinal Course certified by the Haas Center for Public Service.
Terms: Spr | Units: 4

OIT 385: Biodesign Innovation: Concept Development and Implementation

In this two-quarter course series (OIT 384/5), multidisciplinary student teams from medicine, business, and engineering work together to identify real-world unmet healthcare needs, invent new health technologies to address them, and plan for their development and implementation into patient care. During the first quarter (winter), students select and characterize an important unmet healthcare problem, validate it through primary interviews and secondary research, and then brainstorm and screen initial technology-based solutions. In the second quarter (spring), teams screen their ideas, select a lead solution, and move it toward the market through prototyping, technical re-risking, strategies to address healthcare-specific requirements (regulation, reimbursement), and business planning. Final presentations in winter and spring are made to a panel of prominent health technology industry experts and investors. Class sessions include faculty-led instruction and case studies, coaching sessions by industry specialists, expert guest lecturers, and interactive team meetings. Enrollment is by application only, and students are expected to participate in both quarters of the course. Visit http://biodesign.stanford.edu/programs/stanford-courses/biodesign-innovation.html to access the application, examples of past projects, and student testimonials. More information about Stanford Biodesign, which has led to the creation of more than 50 venture-backed healthcare companies and has helped hundreds of students launch health technology careers, can be found at http://biodesign.stanford.edu/.
Terms: Spr | Units: 4

OIT 644: Research in Operations, Information and Technology

This year-long course takes a hands-on approach to learning about conducting research in Operations, Information and Technology. It will cover a broad spectrum of cutting-edge research in OIT from conceiving an idea to formulating a research problem, deriving results, and publication. The topical content will be customized to the specific interests of the enrolled students, but generally will be concerned with questions of operational interest.
Terms: Aut, Win, Spr | Units: 1 | Repeatable 15 times (up to 15 units total)

OIT 664: Asymptotics in Operations Management

This course provides an overview of asymptotic models and methods used in various areas of operations management. It includes traditional heavy traffic asymptotics for queueing networks, the Halfin-Whitt regime, the supermarket model, inventory theory, revenue management, applications of measure-valued processes in queues, and applications of mean field equilibrium models in matching markets and auctions for ad exchanges. The lectures will focus on modeling and performance analysis, and not on convergence proofs. Prerequisites: Statistics 217 and 218, or consent of instructor; some prior exposure to stochastic models in general, and queueing theory in particular, is useful but not essential.
Terms: Spr | Units: 3

OIT 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MGTECON 691, MKTG 691, OB 691, POLECON 691, STRAMGT 691)

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

OIT 692: PhD Dissertation Research (ACCT 692, FINANCE 692, GSBGEN 692, HRMGT 692, MGTECON 692, MKTG 692, OB 692, POLECON 692, STRAMGT 692)

This course is elected as soon as a student is ready to begin research for the dissertation, usually shortly after admission to candidacy. To register, a student must obtain permission from the faculty member who is willing to supervise the research.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

OIT 698: Doctoral Practicum in Teaching

Doctoral Practicum in Teaching
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 25 times (up to 50 units total)

OIT 802: TGR Dissertation (ACCT 802, FINANCE 802, GSBGEN 802, HRMGT 802, MGTECON 802, MKTG 802, OB 802, POLECON 802, STRAMGT 802)

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
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