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The ISOM area deals with the variety of approaches to structured and unstructured problem solving that have become critical to today's businesses and the hallmarks of modern consulting best-practices.  The area faculty ranks #4 internationally in terms of research productivity in elite outlsets such as the Journal of Operations Management, MIS Quarterly, Production and Operations Management, and Information Systems Research.  Per capita productivity in these outlets lead the business community in 2006-2010.  The ISOM curriculum reflects the strength of this knowledge base.  Here three central themes reflect attention to the role of information technology in the contemporary enterprise, management of operations (including project, supply chain and quality management) and decision analysis (including quantitative methods).  ISOM students  have been placed at such firms as Bain, McKinsey, PwC and Hitachi.  Concentrations in ISOM requires any four of the elective offerings described below.
 

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Will Rohde - BBA '07
Boston Consulting
 
Geoff Grant - BBA '11
Deloitte Consulting 
Testimonial from Geoff Grant: "The ISOM concentration helped me develop a strong analytical foundation for consulting work. Since starting at Deloitte consulting, I have relied on what I learned from courses such as Decision Analytics and Visualization, Making Effective Decisions, and Operations Strategy, to provide value both to my clients and project teams. From learning how to dissect a business and identifying ways to improve it to gaining an increasing level of comfort in Excel, ISOM provides critical learning opportunities to anyone interested in entering the business world."  
 Other Alumni Testimonials  -  Current Students

 

  

Left : Combining an academic trifecta that includes liberal arts, business foundations and functional expertise with applied experience, these four 13BBA students were attractive consulting hires (Bain, Kurt Salmon, Deloitte).  They shared their experiences during the ISOM consulting reception earlier this year.
 
   

 

Right : Professor Rosenzweig celebrates with five of her Operations Strategy (BUS 453) students at a reception following the induction ceremony for the 100 Senior Honorary Class of 2012.  (In photo from left to right:Ali Jooma, Imran Manji, Ryan Linkul, Professor Rosenzweig, William Hockey, Asad Abdulla).  For more information about The 100 Senior Honorary Award visit:  http://www.alumni.emory.edu/chapters-and-groups/100-senior-honorary.html

The ISOM curriculum is designed to inform a wide range of professions, perhaps most emblematically that of consulting (in which systems and process problems are regularly tackled).  To gain an appreciation of the dynamics of systems and processes, the ISOM curriculum offers a range of analytics courses.  The courses prepare students for dealing with large data sets, how to best apply statistical and computational methods in prediction, risk-assessment and strength/weakness detection, and the task of decision support application development to help automate and encapsulate intelligent approaches to problem solving.  Along with preparing students for analytical work, the ISOM curriculum offers courses that prepare students for best practices in management activity.  Critically these include how to effectively account for operational and IT capabilities in strategy development and deployment.  They also include how to account for idiosyncracies in individual and group psychology - issues that can either help or hinder strategic efforts.

 

 

 Courses

 
  
  
Video
Short Description
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Pre-Req. for the BBA program.  This course provides the necessary skills to generate, analyze, interpret, and present data - invaluable to your success in other classes and future employment.  By the end of the term students should be comfortable working with a computer-based statistics program.  Instructors: michael.miller@emory.edu, Steve.Walton@emory.edu
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This course provides a comprehensive introduction to running business operations regardless of industry. It takes a "systems" view of the activities in a firm, showing how policies applied at one level can critically limit or heighten the ability of other areas of the firm to function.  Instructors: Anandhi.Bharadwaj@emory.edu, Nikolay.Osadchiy@emory.edu
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Today consultants have access to much more extensive and detailed data than ever before.  In part this is the result of the last ten years of internal data collection activity of prospective clients.   Consultants are expected to know how to leverage that data in analysis.  In this class the foundations of business and social simulations will be discussed.  Analytical approaches to simulation analysis will be covered, along with the art of gleaning insights from simulation results.  Instructor: mj.prietula@emory.edu
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The course will explore issues associated with the emerging types of applications and services changing forms of software ecosystems and commerce interactions.  We will involve both design and development of real apps, gizmos, widgets.  The course will consider the opportunities for new patterns of communication between organizations and their mobile stakeholders. (Course site: http://www.emory.edu/BUSINESS/app/ ).  Instructor: Benn.Konsynski@emory.edu
  
Introduces the fundamentals of coding, programming and systems design thinking. Steve Jobs said “Everyone should learn how to code, because it teaches you how to think.” The course is designed for folks with low-to-no coding background and exposes one to the tools that support other decision making activities. We develop basic skills in Python (data manipulation, string handling, etc) and in web development – HTML/CSS/js (web design) and some will be involved in SWIFT language (new from Apple). In addition, concepts and languages in 3D Printing, augmented reality and game design are explored. Many small projects and a few summary projects are used to demonstrate acquired skills. (contact benn.konsynski@emory.edu for more information).
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In this course, students will learn to develop Excel-based analytical tools, informational frameworks and visual interfaces for improving resource-usage and process effectiveness in support of these issues. (Course site:  www.excel-blackbelt.com ). Instructor: diwas.kc@emory.edu
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This course lies at the intersection of global business, economics, and digital technology; how information technology (IT) powering global enterprises and markets is leading to business innovations as well as reshaping the way we live and work.  You will learn about fundamental principles surrounding IT (e.g., software architecture, internet and Web 2.0 technologies, social media) and explore how IT is transforming organizations, industries, and markets globally. 
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This course explores the important lessons managers can learn about the behavioral issues underlying  problem solving, decision making, creativity, and risk that impact their reasoning methods and the rationality of their results.  Instructor: MJ.Prietula@emory.edu 
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The course focuses on the following five areas of health care operations management (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.  Instructor: Diwas.KC@emory.edu
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This course aims to assist students in formulating an operations strategy and in evaluating its impact on the bottom line.  The course considers a variety of possible ways in which to compete on operations, including low cost, high quality, flexibility or speed of customer response, and innovation.  In doing so, the course also examines the complexities associated with global operating systems, including the hidden costs of outsourcing and offshoring.  Instructor: Eve.Rosenzweig@emory.edu
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This course is an advanced analytics course focusing on data science. Data science is an emerging interdisciplinary field that draws from computer science, statistics, business, as well as other fields. The key phases of data science projects will be discussed in the course: data acquisition, data cleaning, storage and retrieval, and data analysis. Students should expect to face unstructured problems that will produce significant frustration (all a part of functioning in this arena). Learning some computer programming is fundamental part of this course (Python and R). The course is intended only for students in the top 20% of the population of GBS students in terms of quantitative or computer skills. Before signing up for this course, review the information at DataScienceSource.com/GBSCourseInfo to make sure that the course and you are a good fit.  Instructor: George Easton, geaston@emory.edu
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This course expands on the basic statistical tools of BUS 350 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.   Through sharing of experience and discussion of many data sets and problems we gain years of experience in a few months. The course is structured to challenge the very good quantitative people while providing a path to success for the numerically challenged.  Instructor: Stephen.Stuk@emory.edu
  
What are the economics of extreme events?  How can social network analysis and social simulation be used to inform and anticipate such events?  How can risk be framed and policy developed to aid non-profit and for-profit organizations deal with these environments while ensuring public benefit and cultural acceptance?  These questions are at the heart of this course.
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In this course, we will view the latest research in leading laboratories and talk with the researchers. We look at cases and examples, ranging from web pages and business applications, to games, agents, and robots. Instructor: MJ.Prietula@emory.edu
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This course builds upon Bus 351, treating process analysis in detail. Process analysis is a key component of Six Sigma programs. Six Sigma is an approach for performance improvement that was made famous by GE and is currently being implemented by thousands of companies. The analytical skills you learn in this course are important to many employers and can be foundational for a career in operational performance improvement.  Instructor: GEaston@emory.edu
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This course is about the key managerial question, “What should I do?” We break this question down further: “Given what I believe, what should I do?” and “Given what I observe, what should I believe?”
Decisions are a “fundamental particle” of management.  Instructor: Jeff.Rummel@emory.edu
  
As technology becomes more integrated into business processes, managers and leaders alike must be able to understand and communicate the enabling potential of these tools across the supply chain. This course integrates the fundamental principles of information systems and operations management to cover the multiple activities comprising a firm's operating core and its supply chain.
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Approaches to supply chain management continue to change, as information technology and the nature of global markets evolve.
The design of this class is to provide students already familiar with topics taught in introductory coursework with an opportunity to explore this changing landscape.  
Instructor: jeff.rummel@emory.edu
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This course is an advanced analytics course focusing on data science and the development of data products. Data science is an emerging interdisciplinary field that draws from computer science, statistics, business, as well as other fields. All of the typical phases of data science projects will be discussed in the course: data acquisition, data cleaning, storage and retrieval, data analysis, and production product development. Students should expect to face unstructured problems that will produce significant frustration (all a part of functioning in this arena). The course is intended only for students in the top quartile in terms of quantitative and computer skills. Most of the work in this course will be team based and you will be expected to help each other.  Instructor: George Easton, geaston@emory.edu
  
The course will explore issues associated with the emerging types of applications and services changing forms of software ecosystems and commerce interactions.  We will involve both design and development of real apps, gizmos, widgets.  The course will consider the opportunities for new patterns of communication between organizations and their mobile stakeholders. (Course site: http://www.emory.edu/BUSINESS/app/ ).  Instructor: Benn.Konsynski@emory.edu 

 

  

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.  Instructor: ramnath.chellappa@emory.edu

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This course covers the student with an array of management science modeling and solution tools, such as linear and non-linear optimization, integer programming, simulation and stochastic optimization. All work is performed in an electronic spreadsheet format.  Emphasis is on translating a verbal business problem description into a mathematical model, setting up and solving the model in Excel, and interpreting the results.  The particular problems of the course are focused on finance, operations and marketing.  Topics include asset allocation, arbitrage, short term cash flow planning, and balance sheet management, revenue management, supply chain management, and pricing among others. Instructor: Diwas.KC@emory.edu
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Student teams work with partnering organizations to tackle a variety of business-process improvement projects. The key questions, insights and approaches will draw from ideas and tools of operations management, information systems, statistical analysis, decision and risk modeling, optimization and simulation. Students get hands-on coaching in applying the frameworks and processes of running a consulting project, as well as deeper dives into the analytical methodologies. Deliverables include final presentation to executives from the client organization. [Student teams participate in Presentation Day event in May.]  Instructor: jeff.rummel@emory.edu
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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.  Instructor: Stephen.Stuk@emory.edu
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Advanced topics and tools for analysis of decision problems, focusing on the complication of multiple decision makers.
The course starts with the fundamentals of game theory and develops conceptual frameworks and analytical tools for strategic thinking and action. Applications include models of competition and cooperation, strategic moves, negotiation, auctions & bidding, fair division, coalitions, voting and group decisions, and large systems of decision makers.
In addition, we revisit the underlying psychology of decision makers – in ourselves and in the others we interact with – and develop methods for overcoming natural weaknesses and “decision traps” in strategic interactions.
Instructor: michael.miller@emory.edu

  
The course focuses on the following five areas of health care operations management (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.  Instructor: Diwas.KC@emory.edu
https://community.bus.emory.edu/dept/ISOM/Image/_t/658s_jpg.jpg
  
This course aims to assist students in formulating an operations strategy and in evaluating its impact on the bottom line.  The course considers a variety of possible ways in which to compete on operations, including low cost, high quality, flexibility or speed of customer response, and innovation.  In doing so, the course also examines the complexities associated with global operating systems, including the hidden costs of outsourcing and offshoring.  Instructor: Eve.Rosenzweig@emory.edu
https://community.bus.emory.edu/dept/ISOM/Image/_t/654s_jpg.jpg
  
While numerical models that support decisions can be critical to management, the nuances of human behavior cannot be ignored in the real-world. To be an effective leader, it is essential to understand the limits and constraints on reasoning in this tech-heavy, time-critical world. In this course you will get a toolbox of methods, mechanisms, and guidelines for you to bring to bear on your daily encounters with the complex, dynamical and uncertain world of business. Instructor: MJ.Prietula@emory.edu
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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.   Through sharing of experience and discussion of many data sets and problems we gain years of experience in a few months. The course is structured to challenge the very good quantitative people while providing a path to success for the numerically challenged.  Instructor: Stephen.Stuk@emory.edu

https://community.bus.emory.edu/dept/ISOM/Image/659s.jpg
  
This is a course for the students with a strong interest in new technologies and how they may be used to create new business opportunities, particularly new social networking media. Topics covered will include social networking and how the business world leverages them, virtual worlds and technologies, skills in designing and implementing social media for business value using sharepoint and iTunes U (hands on projects). (Course site: http://dominict.net/BUS659 ).  Instructor: TBD
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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. 
  
 What are the economics of extreme events?  How can social network analysis and social simulation be used to inform and anticipate such events?  How can risk be framed and policy developed to aid non-profit and for-profit organizations deal with these environments while ensuring public benefit and cultural acceptance?  These questions are at the heart of this course. 
https://community.bus.emory.edu/dept/ISOM/Image/_t/659bs_jpg.jpg
  
Students who take this course will learn how Six Sigma fits into a integrated strategic approach to process management, how Six Sigma tools can be applied to improve both service and manufacturing operations, and how to manage Six Sigma projects in organizations. The course includes an industry-based Six Sigma project, and reflects the educational requirements for Green Belt certification.  Instructor : GEaston@emory.edu
 
 
 

 Spring 2014 Predictive Analytics Throwdown

 
Spring 2014 Predictive Analytics Throwdown
 

 Spring 2013 Consulting Reception

 
Spring 2013 Consulting Reception
 

 Spring 2012 Consulting Reception

 
Spring 2012 Consulting Reception
  
  
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 C-SPEC Guideline: BBA Consulting and Analyst Careers

 
 

 MBA Career-Centered Curriculum Guide

 
 

 Additional Resources

 
  
Notes
  
Lee Pasackow is the ISOM liaison . 
  
Main Emory Site
  
Compustat, CRSP, etc.
  
Consulting outlet
  
Coordinated by K. Kadous
  
Introduction to ePortfolios
  
Instructions on Development
  
Hotel/Air Booking for Faculty/Staff
  
Intranet - requires login
  
Internet availability
  
Part B - "Grey Book"
  
Links to Processes, Procedures, etc.
  
2013-initiated Discussion forum
 

 ISOM Hightower Event

 
  
  
  
  
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