printer friendly pageOIT 385: Biodesign Innovation: Concept Development and Implementation
In this two-quarter course series (
OIT 384/5), multidisciplinary student teams identify real-world unmet healthcare needs, invent new medtech products to address them, and plan for their development into patient care. During the first quarter (winter 2017), 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 2017), teams 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 medtech experts and investors. Class sessions include faculty-led instruction and case demonstrations, 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 student launch health technology careers, can be found at
http://biodesign.stanford.edu/.
Terms: Spr
| Units: 4
Instructors:
Brinton, T. (PI)
;
Yock, P. (PI)
;
Denend, L. (SI)
;
Venook, R. (SI)
;
Watkins, F. (SI)
OIT 536: Data for Action: From Insights to Applications
Data for Action is an MBA compressed course dedicated to identifying value in and creating value from data. It deals with the technical, legal, regulatory and business strategic decisions that must be considered when delivering solutions to customers.
Terms: Win
| Units: 2
Instructors:
Bayati, M. (PI)
;
Imbens, G. (SI)
OIT 554: Seminar on IT for Business
This course offers an overview of information technologies for enterprises and supply chain management. The course has two key components - a series of guest speakers and a set of readings. Students are expected to have read the assigned note on related technologies before class, and prepare to discuss technologies with the guest speaker in class. We will not discuss the technology per se in class, so students who enroll are expected to have some exposure to technologies in order to digest the materials on their own. The main topics of technologies are: DBMS (Database Management System), ERP (Enterprise Resource Planning), EAI (Enterprise Application Interface), data mining, Big Data, platform-based business model, cloud computing, RFID/NFC, mobile technologies, and mobile payment. In particular, students are encouraged to think hard about potential new businesses around the technology and discuss them in class.
Terms: Win
| Units: 2
Instructors:
Whang, S. (PI)
OIT 587: Global Biodesign
Seminar examines the development and commercialization of medical technologies in the global setting focusing primarily on Europe, India and China. Faculty and guest speakers from industry and government discuss the status of the industry, as well as opportunities in and challenges to medical technology innovation unique to each geography. Topics related to development of technologies for bottom of the pyramid markets will also be addressed.
OIT 601: Fundamentals of OIT
The goal of this course is to provide first-year Ph.D. students in OIT with sufficient fundamentals to subsequently take advanced research seminars. The course covers the very basics of six topics: queueing theory, inventory theory, multi-echelon inventory theory, game theory, stochastic dynamic programming and econometrics. Lectures will be given by advanced Ph.D. students in OIT.
Last offered: Autumn 2013
OIT 602: Dynamic Pricing and Revenue Management I
In tandem with
OIT 603, this course explores the application of stochastic modeling and optimization to two closely related problem areas: (a) dynamic price selection, and (b) dynamic allocation of limited capacity to competing demands. As background, students are assumed to know stochastic process theory at the level of Statistics 217-218, microeconomics at the level of Economics 202N, and optimization theory at the level of MS&E 211, and to have some familiarity with the basic ideas of dynamic programming. Additional dynamic programming theory will be developed as needed for the applications covered. Emphasis will be on current research topics, especially in the realm of airline revenue management.
OIT 603: Dynamic Pricing and Revenue Management II
In tandem with
OIT 602, this course explores the application of stochastic modeling and optimization to two closely related problem areas: (a) dynamic price selection, and (b) dynamic allocation of limited capacity to competing demands. As background, students are assumed to know stochastic process theory at the level of Statistics 217-218, microeconomics at the level of Economics 202N, and optimization theory at the level of MS&E 211, and to have some familiarity with the basic ideas of dynamic programming. Additional dynamic programming theory will be developed as needed for the applications covered. Emphasis will be on current research topics, especially involving customized pricing of financial services.
OIT 602 is not a prerequisite for
OIT 603 but is highly recommended.
Last offered: Spring 2009
OIT 624: Models and Applications of Inventory Management
The first part of the course reviews fundamental models in inventory management. Topics include deterministic models (EOQ, power-of-two policies, ELS, serial and assembly networks), Newsvendor, multi-period stochastic models under backlogging and lost-sales, multi-echelon and supply chain models, and infinite-horizon formulations. In the process, the course also reviews several fundamental mathematical concepts in inventory theory, including convexity, duality, finite / infinite state Markov decision processes, and comparative statics.nThe second part discusses advanced modeling concepts, and several new application areas. Topics include distribution-free and robust models, supply uncertainty and disruptions, flexibility and supply chain design, joint pricing and inventory, and problems at the interface of supply chains and finance.
Last offered: Winter 2015
OIT 643: Special Topics in Supply Chain Management
To compete successfully in today's market place, companies need to manage effectively the efficiency of activities to design, manufacture, distribute, service and recycle their products or services to their customers. Supply chain management deals with the management of materials, information and financial flows in a network consisting of suppliers, manufacturers, distributors, and customers. The coordination and integration of these flows within and across companies are critical in effective supply chain management. nnnIn parallel to the development of new practices and concepts in industry, there have been emerging research that are based on (1) structuring new processes and supply chain networks with the new technologies; (2) exploring ways to do planning and make decisions consequently; (3) quantifying the benefits as a result; and (4) aligning the incentives of multiple players in a supply chain when the costs and benefits to these players are different. nnnThis course will examine evolutionary research that focuses on the above themes. We will explore how such problems can be formulated, models can be structured, and analysis can be performed to address information-based supply chain management issues. You are all challenged to think, discuss, share, and debate on the issues brought up. The end result of this course is, hopefully, that we can start defining new, interesting and exciting research paths, and maybe even beginning to pursue some of the research ideas generated.
Last offered: Winter 2013
OIT 647: Empirical Methods in Operations Management / Management Science
This course focuses on studying a broad set of econometric methods to conduct empirical research in Operations Management and related fields in Management Science. The course complements formal econometrics and statistics classes by focusing on the application of different econometric methods and identification strategies to research problems that are relevant in different areas within Operations Management, including Supply Chain Management, Service Operations, Healthcare and Retail. Although statistics/econometrics classes provide a rigorous revision of the methods, they put less emphasis on how to apply these methods in different settings. This course aims to fill that gap by providing a problem-oriented approach, where the focus is on identifying empirical questions relevant to Operations Management and choosing an appropriate empirical strategy to address them. The course has a seminar format combining paper presentations by students, computer assignments and a short research proposal.
Terms: Win
| Units: 2
Instructors:
Olivares, M. (PI)
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