Information Systems and Operations Systems (ISOM)
MBA Electives
Spring 2012
553G. Supply Chain Management
(counts towards Global requirement)
 Advances in production technology, transportation and
information systems have allowed firms to construct
more complex supply chains.
 This class expands the topics taught in introductory
coursework, looking at inventory models and planning
and control systems. Much of the course is case based,
exploring how firms utilize the tools and technologies of
supply chain management for competitive advantage.
 For additional information contact:
jeff_rummel@bus.emory.edu
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557P. Management Science in Spreadsheets
(ACE)
 Covers traditional management science techniques such as
optimization (linear, integer and non-linear), and simulation.
All work is performed in an electronic spreadsheet format.
 The particular problems are focused on finance, marketing
and operations. Focus on developing data-drive
quantitative managerial insights.
 Topics include asset allocation, arbitrage, short term cash
flow planning, and balance sheet management, among
others.
 Emphasis on learning to convert verbal business problem
description into a mathematical model to solved in Excel.
 For additional information contact:
diwas_kc@bus.emory.edu
2
556/556P. Analytics for e-Markets(crosslisted)
This course is for:
1.
General manager in-charge of pricing/analytical strategies in high-tech
industries (mobile networks, software, video games and music).
2.
Marketing manager for any firm engaged in interactive/online advertising and
social media.
3.
Consultant in-charge of analytical strategies for electronic markets.
 The basis for many, if not most, online business models is
network economics – we learn this through lectures, speakers
(from Google, Yahoo!, etc.) and two hands-on projects:
1.
Google Online Marketing Challenge (for learning about two-sided markets)
2.
Social Media analysis using real data.
 The course will be heavy on analytical modeling and data analysis.
Students are expected to be comfortable with economics and
statistics covered in the first year.
 For additional information contact: ram@bus.emory.edu
3
558/558P. Project Management & Collaboration
(counts towards MP requirement)
 This course provides a comprehensive introduction to
project management.
 Projects provide businesses a time-delimited tool for
improving, expanding, and innovating- the primary
means for converting strategy into action.
 We focus on the challenge of managing projects
involving dispersed team members from multiple
organizations.
 This course can be credited toward PMI Project
Management Professional (PMP) certification.
 For additional information contact:
dominic_thomas@bus.emory.edu
4
650. Decision Modeling
 Prerequisite: BUS 550
Advanced topics and tools for analysis of decision problems,
focusing on modeling the real-world complications that are
simplified away when introducing decision analysis.
 This means learning to extend decision analysis concepts and
techniques to include attitudes about risk, multiple conflicting
objectives, complex uncertainties (requiring Monte Carlo
simulation), complex alternatives (requiring linear programming
and other optimization techniques), and dynamic interactions.
 In addition, we must learn the subtleties of applying
quantitative modeling techniques to managerial and strategic
settings in organizations
 For additional information contact
Patrick_Noonan@bus.emory.edu
5
BUS 652. Healthcare Operations & Technology
Management
 We will analyze health care organizations using qualitative and
quantitative principles of management, and practice formulating
solutions to frequently encountered problems.
 Focus on the following five areas: (1) designing health care
delivery systems, (2) capacity planning and decision making
under uncertainty, (3) measuring and monitoring quality, (4)
process failure, learning and improvement, and (5) role of
technology in improving health care delivery.
 Case settings involve the key stakeholders in the healthcare
industry, viz., hospitals and clinics, pharmaceutical companies,
medical device manufacturers, insurance providers, regulatory
agencies, and doctors and patients.
 For additional information contact: Diwas_KC@bus.emory.edu
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BUS. 655P Forecasting and Predictive Analytics
 This course expands on the basic statistical tools of BUS 550
in two major ways: [1] New methods of Modeling/Analyzing
data and [2] Development of automated structures to support
decisions tied to data.
 This course is a very “hands on” working-with-data, either
data sets provided or those you are specifically interested in.
 Many students have gone on to utilize the skills/tools from
this class successfully in their first jobs or startups.
 The instructor will present extensive examples from personal
experience with forecasting and modeling for companies
ranging from Fortune 100 to successful startups.
 For additional information contact
steve_stuk@bus.emory.edu
7
657. Data Analytics & Visualization
 A course on automated Decision Support tool
development in Excel and associated platforms.
 In this course, students will learn to develop analytical
tools, informational frameworks and visual interfaces for
improving resource-usage and process effectiveness.
 We will deal with application integration, multiple
approaches to analytical methods and design issue for
leveraging simulation and simulation optimization.
 For additional information contact:
Elliot_Bendoly@bus.emory.edu
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