OIT 256: Electronic Business (Accelerated)
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. Classes combine lecture and case study discussions and the workload is above the GSB average.
Units: 2

Grading: GSB Letter Graded
Instructors:
Mendelson, H. (PI)
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: 4

Repeatable for credit

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: 4

Grading: GSB Letter Graded
Instructors:
Yurukoglu, A. (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
Instructors:
Beach, D. (PI)
;
Coulson, S. (PI)
;
Gorodsky, J. (PI)
...
more instructors for OIT 333 »
Instructors:
Beach, D. (PI)
;
Coulson, S. (PI)
;
Gorodsky, J. (PI)
;
Patell, J. (PI)
;
Beach, D. (SI)
;
Coulson, S. (SI)
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. Classes combine lecture and case study discussions and the workload is above the GSB average. While the advanced course will generally cover the same topics as
OIT 256, it will go into more advanced techniques in a number of areas.
Units: 2

Grading: GSB Letter Graded
Instructors:
Mendelson, H. (PI)
OIT 384: Biodesign Innovation: Needs Finding and Concept Creation
This is the first quarter of a twoquarter course series (
OIT 384/
OIT 385). In this course, students learn how to develop comprehensive solutions (most commonly medical devices) to some of the most significant medical problems. The first quarter includes an introduction to needs finding methods, brainstorming and concept creation. Students learn strategies for understanding and interpreting clinical needs, researching literature and searching patents. Working in small entrepreneurial multidisciplinary teams, students gain exposure to clinical and scientific literature review, techniques of intellectual property analysis and feasibility, basic prototyping and market assessment. Students create, analyze and screen medical technology ideas, and select projects for future development. Final presentations at the end of the winter quarter to a panel of prominent inventors and investors in medical technology provide the impetus for further work in the spring quarter. Course format includes expert guest lecturers (Thu: 4:15 to 6:05 pm), facultyled practical demonstrations and coaching sessions, and interactive team meetings (Tues: 4:15 to 6:05 pm). Projects from previous years included: prevention of hip fractures in the elderly; methods to accelerate healing after surgery; less invasive techniques for bariatric surgery; point of care diagnostics to improve emergency room efficiency; novel devices to bring specialtytype of care to primary care community doctors. More than 300,000 patients have been treated to date with technologies developed as part of this program and more than thirty venturebacked companies were started by alums of the program. Students must apply and be accepted into the course. The application is available online at
http://biodesign.stanford.edu/bdn/courses/bioe374.jsp.
Units: 4

Grading: GSB Student Option LTR/PF
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.
Units: 2

Grading: GSB Letter Graded
Instructors:
Bayati, M. (PI)
;
Imbens, G. (SI)
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.
Units: 115

Repeatable for credit

Grading: GSB Pass/Fail
Instructors:
Bayati, M. (PI)
;
Bimpikis, K. (PI)
;
Gur, Y. (PI)
;
Iancu, D. (PI)
;
Lee, H. (PI)
;
Mendelson, H. (PI)
;
Patell, J. (PI)
;
Plambeck, E. (PI)
;
Wein, L. (PI)
;
Whang, S. (PI)
;
Zenios, S. (PI)
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.
Units: 115

Repeatable for credit

Grading: GSB Pass/Fail
Instructors:
Bayati, M. (PI)
;
Bimpikis, K. (PI)
;
Gur, Y. (PI)
;
Iancu, D. (PI)
;
Lee, H. (PI)
;
Mendelson, H. (PI)
;
Patell, J. (PI)
;
Plambeck, E. (PI)
;
Wein, L. (PI)
;
Whang, S. (PI)
;
Zenios, S. (PI)
OIT 802: TGR Dissertation (ACCT 802, FINANCE 802, GSBGEN 802, HRMGT 802, MGTECON 802, MKTG 802, OB 802, POLECON 802, STRAMGT 802)
Units: 0

Repeatable for credit

Grading: GSB Pass/Fail
Instructors:
Bayati, M. (PI)
;
Bimpikis, K. (PI)
;
Gur, Y. (PI)
;
Iancu, D. (PI)
;
Lee, H. (PI)
;
Mendelson, H. (PI)
;
Patell, J. (PI)
;
Plambeck, E. (PI)
;
Wein, L. (PI)
;
Whang, S. (PI)
;
Zenios, S. (PI)