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21 - 30 of 40 results for: OIT

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.

OIT 343: D-Lab: Design for Service Innovation

Students in multidisciplinary teams work with a partner organization to design new services that address the needs of an underserved population of users. Teams identify an unmet customer needs, develop and prototype new service designs (e.g. web services, services with a product component, educational campaigns), test these services with real customers and develop an implementation plan. Fundraising strategies are also explored and tested. We will offer two sections: financial services (MW: 1:15 pm - 3:00 pm); health services (MW: 4:15 pm - 6:00 pm). The specific domains for the two sections will be announced in the fall based on the needs of partner organizations. Possible domains for financial services: financial literacy for young adults, planning for major expenses at retirement, financial services for the underserved. For health services: transition to adulthood of pediatric patients with chronic conditions, transitions to nursing care for elderly patients. See http://designforservice.stanford.edu/.

OIT 356: Electronic Business

This course focuses on the intersection of strategy and information technology. It considers how you can take advantage of new technology opportunities and how they change the structure of firms, industries and value chains, with an emphasis on business issues. Case studies include Salesforce.com, Apple, Google, Netflix, Linden Lab (Second Life), Amazon (The Kindle), Zappos and PayPal. Classes combine lecture and case study discussions and the workload is above the GSB average.

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.
Instructors: Lee, H. (PI)

OIT 538: Environmental Science for Managers - Accelerated

This course satisfies the MBA distribution requirement in Optimization and Simulation Modeling (OSM). It is challenging but doable for students without an undergraduate degree in science or engineering; it does not assume experience in environmental science or quantitative analysis beyond admission requirements for the MBA program. Students will learn fundamental science of ecosystems, climate and energy systems, by building decision-support models for managing these systems. In so doing, students will develop widely-applicable skills in model representation in a spreadsheet, optimization, and Monte Carlo simulation. nnnStudents are strongly encouraged to take the follow-on course on renewable energy, OIT 540 Environmental Science for Managers II. nnnFor the joint MBA-MS in Environment and Resources degree, students are required to take OIT 540, and either OIT 538 or OIT 539.

OIT 539: Environmental Science for Managers - Advanced

Fundamental science of ecosystems, climate and energy. Spreadsheet modeling, optimization, and Monte Carlo simulation applied to resource management and environmental policy. Similar to OIT 338, but allocates more class time to environmental/energy science and implications for management and policy, and less class time to fundamentals of modeling/optimization/simulation.

OIT 540: Environmental Science for Managers II

This course provides an introduction to renewable sources of electricity and fuel, and is required for the joint MBA-MS in Environment and Resources degree. nnnStudents are strongly encouraged, but not required, to take OIT 538 or OIT 539 prior to taking this course.

OIT 542: Price and Revenue Optimization

This is the Advanced Application option in the menu of courses that satisfy the Management Foundations requirement in Optimization and Simulation Modeling(OSM). Three core modeling topics are covered in rapid-review fashion - model representation in a spreadsheet environment, optimization theory, and stochastic models - but primary emphasis is on the application domain described immediately below. OIT 542 is a two-unit course, with nine class sessions plus a final exam. nnnSystems for price and revenue optimization - also called yield management, dynamic pricing, or revenue management - combine the use of information technology, statistical forecasting, and mathematical optimization to make tactical decisions about pricing and product availability. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different fares, with fare availability changing as time advances and uncommitted capacity declines. Over the last 30-35 years, revenue optimization practices have transformed the transportation and hospitality industries, where fixed capacity and advance reservations by customers are important structural factors. But model-based, data-driven pricing systems are increasingly common in other industries that have different structures, such as financial services and retail clothing.nnnIn this course students learn about the model structures and modelling techniques that underlie systems for price and revenue optimization. Two topics are given roughly equal emphasis: model-based tactical pricing, including customized pricing and retail markdown management; and classical revenue management, where automated logic is used for booking control (that is, to make yes-or-no decisions in response to booking requests from customers), rather than to set prices explicitly.nnnOIT 542 is tailored to students who already have command of basic modelling techniques and wish to learn about their application in an important business context. To be specific, a prior college course on optimization modelling is assumed as background. (Typically, such courses focus on linear programming, or linear optimization, with secondary coverage of non-linear programming and discrete optimization.) Various aspects of optimization theory will be covered in quick-review format, along with the basics of spreadsheet model representation and stochastic modelling, in order to standardize terminology and establish certain conventions that facilitate grading. In exceptional cases, for students who have strong math background and high mathematical aptitude but no prior coursework on optimization, the background knowledge assumed in OIT 542 may be acquired through self-study; appropriate study materials will be suggested by the instructor upon request. The course is entirely appropriate for second-year MBA students who have completed either base or accelerated MODS in their first year.nnnOIT 542 draws on knowledge acquired and skills developed in two other Management Foundations courses that are taken simultaneously: Data and Decisions ( OIT 265) and Microeconomics ( MGTECON 200 or 203). Students are required to construct and analyze at least one model for every class session.

OIT 562: Supply Chain Management & Technology

Supply chain management (SCM) deals with the management of materials, information and financial flows in a network consisting of suppliers, manufacturers, distributors, retailers and customers. The coordination and integration of these flows within and across companies are critical in effective supply chain management. In this course, we introduce key concepts and new developments in information technologies (IT) for use in SCM. In particular, the advances of information technologies such as enterprise systems, the Internet, collaborative network, operational analytics and wireless technologies have a profound impact on how supply chains are structured and run. You are all challenged to think, discuss, share, and debate on the issues brought up.
Instructors: Whang, S. (PI)

OIT 565: The Role of Information Technology in the New Energy Economy

One of the most interesting and underexplored areas in modern technology is, as Dan Reicher at Stanford has put it, "where energy technology (ET) meets information technology (IT)". The main driver of widespread use of computing in the modern age is the rapid reduction in the cost of computing services caused by Moore's law. At the same time, a substantial increase in the energy efficiency of computing (doubling every year and a half for more than six decades) has led to a proliferation of mobile computers, sensors, and controls, with implications that have only recently begun to be understood.nnnThis class will explore the direct and indirect implications of applying information technology to the production, delivery, and use of energy and associated services. It will first review current knowledge about the direct energy use associated with information technology, including data centers, personal computers, cellular telephones, mobile sensors, and other IT equipment. It will also summarize the state of knowledge about the types, amount, and growth rates of energy services delivered in the US and globally. Finally, it will explore the applications to which information technologies have been put in the energy industry, ranging from the use of visualization and analysis techniques to improve the results of oil and gas exploration, to the computer-aided design of wind turbines and automobiles, to the implications of wireless sensors and controls for the more efficient and effective use of energy. The class will culminate in student projects, typically business plans for new ventures using IT to radically transform how we understand and respond to the world around us.
Instructors: Koomey, J. (PI)
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