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1 - 10 of 13 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

OIT 265: Data and Decisions

This is the base version of D&D. This course introduces the fundamental concepts and techniques for analyzing risk and formulating sound decisions in uncertain environments. Approximately half of the course focuses on probability and its application. The remainder of the course examines statistical methods for interpreting and analyzing data including sampling concepts, regression analysis, and hypothesis testing. Applications include inventory management, demand analysis, portfolio analysis, surveys and opinion polls, A/B testing, environmental contamination, online advertising and the role of analytics in business settings more generally. The course emphasizes analytical techniques and concepts that are broadly applicable to business problems.
Terms: Win, Spr | Units: 3

OIT 334: Design for Extreme Affordability

This course is a Bass Seminar. Project course jointly offered by School of Engineering and Graduate School of Business. Students apply engineering and business skills to design product or service prototypes, distribution systems, and business plans for entrepreneurial ventures that meet that challenges faced by the world's poor. Topics include user empathy, appropriate technology design, rapid prototype engineering and testing, social technology entrepreneurship, business modeling, and project management. Weekly design reviews; final course presentation. Industry and adviser interaction. Limited enrollment via application; see http://extreme.stanford.edu/index.html for details.
Terms: Spr | Units: 4
Instructors: Patell, J. (PI)

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, and (2) how these companies may use different ways to manage operations in different regions to take full advantage of the local strengths and limitations. The course will be based on cases on innovative strategies and tactics used by global and international companies.
Terms: Spr | Units: 3

OIT 385: Biodesign Innovation: Concept Development and Implementation

This is the second quarter of a two-quarter course series. In this two-quarter course ( BIOE 374A/B, MED 272A/B, ME 368A/B, 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 2016), 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 2016), 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/bdn/courses/bioe374.jsp to access the application, examples of past projects, and student testimonials. More information about the Biodesign program, which has led to the creation of more than 30 venture-backed healthcare companies and has helped hundreds of student launch medtech careers, can be found at http://biodesign.stanford.edu/.
Terms: Spr | Units: 4

OIT 587: Global Biodesign: Medical Technology in an International Context

This project-based course ( BIOE 371/ MED 271/ OIT 587) exposes students to the challenges and opportunities of developing and implementing innovative medical technologies to help patients around the world. Faculty and guest speakers will discuss trends and issues affecting medical technology innovation in seven primary geographic regions: Africa, China, Europe, India, Japan, Latin America, and the United States. Students will explore key differences between the covered geographies, which range from emerging markets with vast bottom-of-the-pyramid and growing middle class populations, to well-established markets with sophisticated demands and shifting demographics. Students will work in multidisciplinary teams with real-world companies to develop a plan for bringing an existing product to a new global market. Teams will interact with representatives from their chosen company throughout the quarter, as well as with a faculty mentor, and present their recommendations at the conclusion of spring term.
Terms: Spr | Units: 3

OIT 664: Stochastic Networks

Queueing models may be used to represent service delivery systems, manufacturing processes, or data processing networks. The first half of this two-unit course consists of lectures on performance analysis (e.g., estimating congestion and delay) and control of queueing systems using asymptotic methods, both in the traditional heavy traffic regime and in the Halfin-Whitt regime. The second half consists of student presentations of recent papers in asymptotic methods in queueing systems. 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 665: Seminar on Information-Based Supply Chain Management

This seminar will highlight the research evolution and advances on the smart use of information in supply chain management. Advances in technologies like real-time information systems, decision support methodologies, the internet and mobile technologies such as RFID (radio-frequency identification) have also enabled visibility and structural changes that result in significant supply chain performance enhancements. In parallel to the development of new practices and concepts in industry, we will examine 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.
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
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