OIT 245: Optimization and Simulation Modeling
This course provides basic skills in quantitative modeling. The objective is to familiarize students with the main steps in an analytical approach to business decision making: constructing an abstract model for a relevant business problem, formulating it in a spreadsheet environment such as Microsoft Excel, and using the tools of optimization, Monte Carlo simulation and sensitivity analysis to generate and interpret recommendations. The class will be taught in a lab style, with short inclass exercises done in small teams, focusing on a variety of applications drawn from advertising, healthcare, finance, supply chain management, revenue and yield optimization.
Units: 3

Grading: GSB Letter Graded
Instructors:
Iancu, D. (PI)
;
O'Hair, A. (PI)
OIT 247: Optimization and Simulation Modeling  Accelerated
The course is similar in content and emphasis to
OIT 245, but is aimed at students who already have background or demonstrated aptitude for quantitative analysis, and thus are comfortable with a more rapid coverage of the topics, in more depth and breadth.
Units: 3

Grading: GSB Letter Graded
Instructors:
Bimpikis, K. (PI)
;
Xu, K. (PI)
OIT 249: MSx: Data and Decisions
Data and Decisions teaches you how to use data and quantitative reasoning to make sound decisions in complex and uncertain environments. The course draws on probability, statistics, and decision theory. Probabilities provide a foundation for understanding uncertainties, such as the risks faced by investors, insurers, and capacity planners. We will discuss the mechanics of probability (manipulating some probabilities to get others) and how to use probabilities to make decisions about uncertain events. Statistics allows managers to use small amounts of information to answer big questions. For example, statistics can help predict whether a new product will succeed, what revenue will be next quarter, or whether Donald Trump will be the next US president. The third topic, decision analysis, uses probability and statistics to plan actions, such as whether to test a new drug, buy an option, or explore for oil. In addition to improving your quantitative reasoning skills, this class seeks to prepare you for later classes that draw on this material, including finance, economics, marketing, and operations.
Units: 2

Grading: GSB Letter Graded
Instructors:
Reiss, P. (PI)
OIT 256: Electronic Business (Accelerated)
This course focuses on the way information technology affects the structure of business models. It considers the impact of information technology on industries ranging from retail to logistics and from healthcare to smartphones. 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. Classes combine lecture and case study discussions and the workload is above the GSB average. The course is designed to help you make a transition into technologyrelated fields.
Units: 2

Grading: GSB Letter Graded
Instructors:
Mendelson, H. (PI)
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.
Units: 3

Grading: GSB Letter Graded
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.
Units: 3

Grading: GSB Letter Graded
OIT 267: Data and Decisions  Accelerated
Data and Decisions  Accelerated is a firstyear MBA course in probability, statistics, multiple regression analysis, and decision trees for students with strong quantitative backgrounds. Probability provides the foundation for modeling uncertainties. Statistics provides techniques for interpreting data, permitting managers to use small amounts of information to answer larger questions. Regression analysis provides a method for determining the relationship between a dependent variable and predictor variables. Decision tree analysis consists of quantitative approaches to decision making under uncertainty. Students taking this course need to be comfortable with mathematical notation, algebra, and some calculus. If you are not confident with your quantitative abilities, then you should enroll in
OIT 265. Accelerated D&D will cover material covered in
OIT 265 plus some additional topics such as discrete dependent variable models. While
OIT 267 focuses on real world applicability, we will explore the mathematical underpinnings of these topics in more depth than
OIT 265 as an avenue for deeper understanding. The group regression project is a key component of the course.
Units: 3

Grading: GSB Letter Graded
Instructors:
Yurukoglu, A. (PI)
OIT 269: MSx: 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.
Units: 3

Grading: GSB Letter Graded
OIT 273: Value Chain Innovations in Developing Economies
This course is about how to use entrepreneurship and innovations in the value chains to create values in developing economies. The course will cover important principles and ways in which the value chains can be reengineered or new business models can be designed to create values. In addition to materials covering a diversity of industries and geographical regions, the course will also enable students to be exposed to some of the interventions that the Stanford Institute of Innovation in Developing Economies (SEED) is working on in West Africa. Work and exam requirements: Students are expected to develop a project report on either portfolio companies related to SEED or other enterprises to show how value chain innovations can be advanced.
Units: 2

Grading: GSB Letter Graded
Instructors:
Lee, H. (PI)
OIT 333: 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.
Units: 4

Grading: GSB Letter Graded
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