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1 - 10 of 17 results for: OIT ; Currently searching spring courses. You can expand your search to include all quarters

OIT 262: Operations

This course focuses on basic managerial issues arising in the operations of both manufacturing and service industries. The objectives of the course are to familiarize students with the problems and issues confronting operations managers and to introduce language, conceptual models, and analytical techniques that are broadly applicable in confronting such problems. The spectrum of different process types used to provide goods and services is developed and then examined through methods of process analysis and design.
Terms: Spr | Units: 3
Instructors: Plambeck, E. (PI)

OIT 271: Operations - Accelerated

This course, which is an accelerated version of OIT 262 (Operations), focuses on basic managerial issues arising in the operations of both manufacturing and service industries, and on strategic issues arising in global supply chains. The objectives of the course are to familiarize students with the problems and issues confronting operations managers and to introduce language, conceptual models, and analytical techniques that are broadly applicable in confronting such problems.
Terms: Spr | Units: 3
Instructors: Lee, H. (PI)

OIT 272: Online Marketplaces

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars' worth of online advertising? This course focuses on the basic analytic and data science tools used to address these and other challenges encountered in the most exciting online marketplaces in the world. With hands-on exercises we will open and understand the "black-box" of online marketplaces' operations. We will cover application areas such as transportation, rentals, sharing, e-commerce, labor markets, and advertising, leveraging tools from D&D, OSM, and Micro (all base). In particular, the course will use tools from R covered in D&D. Overall, the course will provide basic business knowledge for future investors, product managers, sales and marketing managers, operation managers, and anyone interested on online marketplaces.
Terms: Spr | Units: 2

OIT 275: Online Marketplaces, Accelerated

How does Uber match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How does eBay manage trust and reputation between buyers and sellers? How does Google optimize auctions for billions of dollars' worth of online advertising? This course focuses on analytics and data science tools used to address these and other challenges encountered in the most exciting online marketplaces in the world. With hands-on exercises we will open and understand the "black-box" of online marketplaces' operations. We will cover application areas such as transportation, rentals, sharing, e-commerce, labor markets, and advertising, leveraging tools from D&D, OSM, and Micro. In particular, the course will use tools from R covered in D&D. Overall, the course will provide business knowledge for future investors, product managers, sales and marketing managers, operation managers, and anyone interested on online marketplaces. [This is the accelerated version of OIT 272 and knowledge from D&D and OSM is expected at the accelerated (or advanced) level.]
Terms: Spr | Units: 2

OIT 334: Design for Extreme Affordability

Design for Extreme Affordability is a two-quarter project-based course hosted by Stanford's d.school and jointly offered by the Graduate School of Business and the School of Mechanical Engineering. We focus on the development of products and services to improve the lives of the world's poorest citizens. This multidisciplinary project-based experience creates an enabling environment in which students learn to design products and services that will change lives. Topics include user empathy, product and service design, rapid prototype engineering and testing, social entrepreneurship, business modeling, ethics, partnerships, team dynamics and project management. Since the course was first offered, we have executed 150 projects with 61 partners in 32 emerging and developing economies around the world. Many of the projects have been implemented and are achieving significant social impact. Students have worked on Agricultural, Medical, Water, Sanitation, Energy, Lighting, Nutrition and Education based projects. For further information go to extreme.stanford.edu
Terms: Spr | Units: 4

OIT 356: Electronic Business

The course focuses on the analysis and design of business models that are enabled by Information Technology (IT). It considers the impact of IT on multiple industries and ways to take advantage of new opportunities that are enabled by new technologies. Preparation includes case studies involving both qualitative and quantitative analyses; homework assignments involving quantitative and some qualitative analyses; pre-class online quizzes and a group project involving the design of a new business model that takes advantage of modern IT. A typical class will cover an aspect of a business model which is enabled by IT in an industry which is transformed by technology. Sample topics include the transformation of retail, media, electronic commerce logistics, transportation and healthcare. Some classes will focus on the interaction of strategy and IT, building on what you learned earlier in the program. Students opting to go into technology would probably benefit the most from the course, but this will require a significant time commitment. For students rooted in technology, some of the classes will reinforce and structure things they have experienced already, and others would introduce them to new applications. MSx students are invited to petition to take the course.
Terms: Spr | Units: 3

OIT 364: Global Operations

Globalization of businesses has resulted in companies having to manage global networks of suppliers, integrators, contract manufacturers, logistics service providers, distributors, and service support operators in geographically dispersed locations. The customer network is also globally distributed. This course will focus on (1) how global and international companies can overcome the geographical, cultural, and organizational barriers, and leverage the strengths of the network to create values, (2) how these companies should best structure their network, like in-sourcing or outsourcing, and off-shoring or on-shoring, to give the best competitive advantage, and (3) how operations can support the overall business strategies.. The course will be based on cases on innovative strategies and tactics used by global and international companies, including how they can do so in emerging economies.
Terms: Spr | Units: 3
Instructors: Lee, H. (PI)

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 2020), 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 2020), 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, coa more »
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 2020), 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 2020), 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 40 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 521: Data Science for Platforms

This is an MBA compressed course that covers analytic and data science tools that are currently being used to operate some of the most exciting online platforms and marketplaces in the world. This course will consist of guest lectures from industry leaders involved in these efforts, emphasizing practical challenges associated with implementing analytics and data science projects. Guest lecturers will be heads of data science, heads of product, founders, or investors, among others. We will cover online platforms and marketplaces in diverse application areas such as transportation, rentals, sharing, e-commerce, labor markets, media, and advertising.
Terms: Spr | Units: 2

OIT 604: Data, Learning, and Decision-Making

This aim of this course is to cover modern tools for data-driven decision making. Most decision making tasks involve uncertainty that is directly impacted by the amount and complexity of data at hand. Classical decision models rely on strong distributional assumptions about the uncertain events. But in recent years, and due to growing availability of rich data, there has been a rapid adoption of models from machine learning and statistics that provide more accurate and personalized picture of uncertainty which in turn lead to better decisions. The interplay between the multiple objectives of modeling the data, personalization, and decision optimization has created a number mathematical models that the course aims to cover. Examples of topics include contextual multi-armed bandits and non-parametric decision learning.
Terms: Spr | Units: 3
Instructors: Bayati, M. (PI)
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