2019-2020 2020-2021 2021-2022 2022-2023 2023-2024
Browse
by subject...
    Schedule
view...
 

1 - 10 of 38 results for: OIT

OIT 245: Modeling for Quantitative Analysis

This course satisfies the Management Foundations requirement in Modeling for Optimization and Decision Support (MODS). The course provides basic skills in quantitative modeling, using Excel as the instructional medium. Particularly, the course teaches model building, optimization, and Monte Carlo simulation. The emphasis is on model formulation and the interpretation of results.
Terms: Win | Units: 2

OIT 247: Modeling for Quantiative Analysis - Accelerated

This course satisfies the Management Foundations requirement in Modeling for Optimization and Decision support (MODS). It is aimed at students who already have background or demonstrated aptitude for quantitative analysis, and thus are comfortable with more rapid coverage of the required MODS topics: (1) modeling in a spreadsheet environment, (2) optimization modeling, and (3) Monte Carlo simulation. No prior course work on these topics is expected or required. However, in contrast to OIT 245, the topics will be covered at a faster pace and with less reliance on introductory tutorials and laboratory sessions to learn the concepts. This allows time for coverage of a few additional topics that expand students' appreciation for modeling, optimization and simulation. An example additional topic is discrete-event simulation of systems subject to congestion and delay. The emphasis is on model formulation, and analysis and interpretation of the results. The applications covered will draw from several areas including operations, finance and marketing. Examples include production and capacity planning, investment management, and portfolio optimization. OIT 247 is a two-unit course, with 9 required class sessions, one optional session, and a final exam. Students with undergraduate degrees in math, science or engineering, and students who have accumulated substantial modeling experience in their work life, particularly with simulation or optimization, should take OIT 247 in preference to OIT 245.
Last offered: Winter 2008 | Repeatable 2 times (up to 4 units total)

OIT 258: Technology Management

This course is intended to provide students who do not have significant background in technology with an appreciation for managerial issues related to Informational Technology (IT) within a typical firm, not necessarily in the technology sector. The course discusses how value is delivered by IT solutions, what must be done by a firm to realize this value, and whether an advantage bestowed by technology is sustainable. On the technical side, students are introduced to complexity, reliability, security, and scalability via some common IT solutions. On the organizational side, risks, costs of adoption, difficulties with implementation, and decision architectures enabled by IT are studied. The course is not intended to be a technical primer, although it does touch upon several current technologies.
Terms: Aut, Spr | Units: 2

OIT 261: Technology Concepts for Managers

This course is intended to provide students who do not have significant background in technology with an appreciation for managerial issues related to Informational Technology (IT) within a typical firm, not necessarily in the technology sector. The course discusses how value is delivered by IT solutions, what must be done by a firm to realize this value, and whether an advantage bestowed by technology is sustainable. On the technical side, students are introduced to complexity, reliability, security, and scalability via some common IT solutions. On the organizational side, risks, costs of adoption, difficulties with implementation, and decision architectures enabled by IT are studied. The course is not intended to be a technical primer, although it does touch upon several current technologies.
Terms: Spr | Units: 2
Instructors: Moore, J. (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.
Terms: Spr | Units: 4

OIT 263: Business Process Design

This course focuses on the business processes through which real work is accomplished, such as product development, order fulfillment, and customer service. We will discuss fundamental concepts embodied in the total quality, time-based competition, business process reengineering, and lean manufacturing movements. Specific topics include: capacity management, the impact of variability on process performance, project management techniques, and dynamic flow management (priority scheduling, triage, multi-tasking). Cases and exercises are drawn from a variety of industries, including services (e.g., back-room operations in financial services), design, manufacturing, and health care. Class members should be comfortable with modeling techniques. About one-third of the material is related to tools of process analysis, including several computer assignments involving simulation software.
Terms: Aut | Units: 4
Instructors: Patell, J. (PI)

OIT 265: Data and Decisions

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 theory and decision analysis, including decision trees, decision criteria, the value of information, and simulation techniques. 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, lotteries and gambling, portfolio analysis, insurance, auctions, surveys and opinion polls, environmental contamination, failure analysis and quality control. The course emphasizes analytical techniques and concepts that are broadly applicable to business problems.
Terms: Win | Units: 4

OIT 267: Data and Decisions - Accelerated

Data and Decisions - Accelerated is a first-year 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 faster and in more depth. One main difference is that Accelerated D&D will cover the additional topics of advanced multiple regression analysis (e.g., correction for autocorrelation), two-group discriminant analysis, chi-square analysis, and stratified random sampling. A multiple regression group project is required.
Last offered: Winter 2009

OIT 269: Sloan: Modeling and Analysis

This course introduces modeling and managerial uses of computers. Three major themes are developed: (1) the building, using, and interpretation of computer-based models which aid managers in making decisions, (2) the analysis and interpretation of empirical data for use in computer-based models, and (3) the implementation of organization-wide systems combining technology, data, and models.
Terms: Aut | Units: 4
Instructors: Moore, J. (PI)

OIT 333: Entrepreneurial 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 prototypes, distribution systems, and business plans for entrepreneurial ventures in developing countries for 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: Win | Units: 4
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints