Introduces analytical modeling for managerial decisions using a spreadsheet environment. Includes linear and nonlinear optimization models, decision making under uncertainty and simulation models.
IS Project: Google Analytics
This course is a hands-on learning-by-doing course. Students will design, develop, and implement sponsored search strategies for real-world clients are part of the Google Online Challenge. Students will work in teams of 4 or 5, spend real advertising dollars to run a sponsored-search advertising campaign for their client. In conjunction with the client, students will also develop digital and social media strategies that complement and support their sponsored search advertising campaigns on Google. The teams will also learn to use analytical tools to analyze the performance of their campaigns and provide guidelines to the client for future campaigns. This “real-time, real-business, real-money” challenge provides a valuable opportunity for students to gain a first-hand experience with online advertising and benefit from the immediate campaign performance feedback. At the end of this course, a student should feel comfortable developing and implementing digital strategies and executing online campaigns for firms. They should know all the key terminology and theories of the field and have a good idea of how things work below the surface.
IS Project: Big Data
Computer Simulation for Business Applications
This course covers the basic techniques for computer simulation modeling and analysis of discrete-event systems. Course emphasis is on conceptualizing abstract models of real-world systems (for example, inventory and queuing systems), implementing simulations in special purpose software, planning simulation studies, and analyzing simulation output. Some mathematical theory will be covered.
Data Mining & Predictive Analysis
Healthcare Information Systems
Health care is the last major industry in the United States to successfully use automation to improve its effectiveness. This course considers the business implications and functionality of healthcare information systems. Topics include e-health and operational information systems, electronic medical / health records, EM/HR exchanges, electronic prescribing systems, electronic imaging, testing, and diagnostic systems, systems for preventive care and patient care in hospitals, care facilities, and homes, health care operations, and information privacy, security, reliability. Reading materials will include research papers, trade press articles, news media articles and videos, Harvard Business School cases, and government and industry publications.
Network security must function and must be understood within the broader context of managing enterprise security, overall information systems security, and information assurance. The technical aspects of network security are very important, but must be understood and implemented within this broader framework. Topics to be covered in this course include:
- Knowing What to Secure
- Assessing Risks
- Security Policy
- Building and Documenting an Information Assurance Framework
- Maintaining Security of Operations
- Ensuring Controlled Access.
- Personnel Security
- Physical Security
- Assuring Against Software Vulnerabilities
- Continuity Planning and Disaster Recovery
- Laws, Regulations, and Crime
Students work with a faculty member to develop a course that meets their specific educational goals.