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1 - 7 of 7 results for: OIT ; Currently searching summer courses. You can expand your search to include all quarters

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 or what revenue will be next quarter. 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. At the end we will discuss how this material relates to machine learning and artificial intelligence.
Terms: Win, Sum | Units: 2

OIT 349: Business Analytics

This course aims to develop students¿ skills in analytics and quantitative modeling for managerial decision-making: 1) Constructing a model that can be used to address a relevant business question, 2) Implementing the model in a spreadsheet environment, such as Microsoft Excel, andn3) Using optimization, Monte Carlo simulation and sensitivity analysis to generate and interpret recommendations. The class is taught in a lab style, with real-time in-class exercises done in small teams, focusing on a variety of applications drawn from online advertising, healthcare, finance, pricing and revenue management. We will primarily be using Excel for modeling building and analysis, with appropriate packages for optimization (Solver) and simulation (Oracle Crystal Ball).
Terms: Sum | Units: 3
Instructors: Xu, K. (PI)

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

OIT 698: Doctoral Practicum in Teaching

Doctoral Practicum in Teaching
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 25 times (up to 50 units total)

OIT 699: Doctoral Practicum in Research

Doctoral Practicum in Research
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 25 times (up to 50 units total)

OIT 802: TGR Dissertation (ACCT 802, FINANCE 802, GSBGEN 802, HRMGT 802, MGTECON 802, MKTG 802, OB 802, POLECON 802, STRAMGT 802)

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
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