Schedule of Classes

Application of spreadsheet software to solve business problems. Use of linking functionality between varied applications to create integrated presentations. Brief introduction to the data analysis functions of spreadsheet software and specialized statistical analysis software. Business use of information systems in organizations; electronic commerce and the Internet. The impact of information systems on organizations; system development; ethical and legal issues; data and knowledge management; information security.

Provides an introduction to object-oriented computer programming using VisualBasic.NET. Demonstrates the advantages of using a programming environment to efficiently develop computer programs. Focuses on developing logical approaches to problem solving and implementing programmed solutions to those problems.

Survey of computer applications in business, personal computers, and business information systems. Emphasis on personal computer applications from the perspective of the individual user. Intermediate-level software packages.

Provides an introduction to developing e-commerce solutions and their components using various tools. Also explores the business models available for implementing these solutions within and between organizations. It focuses on the application of networked information technologies to implement a rich variety of business applications.

Study of the theories, design and technologies utilized in modern business data communications networks. Study of the functionality, performance and management of multiple network designs.

Information systems in business applications. Emphasis on relationship of information systems planning to overall business goals, policies, plans, management style, and industry condition; analysis, design, and implementation of information systems. Overview of future trends in data management.

Studies undertaken by academically qualified students under the guidance of a faculty member, with the approval of the chair of the Department of Entrepreneurship, Technology, and Law. May be repeated under different topics for a maximum of six hours credit.

Study of advance algorithms focusing on complex data structures and nonlinear systems using chaos and fractal theory for quantitative analysis. Course implements graphical geometry to represent recursion, termination of solution progress, limits, self-similarity and moving target analysis as it applies to business based financial approximations. This course is tailored to the needs of Master of Science in Quantitative Finance (MSQF) and Master of Business Administration (MBA) students. Various programming environments will be used to program solutions.

Knowledge and application of information-related resources from a management perspective: identifying information needs, strategic uses of information systems, emerging information technologies, managing information resources effectively.