Schedule of Classes

Develop spreadsheet applications for analyzing and solving problems. Learn how to gather, store, organize, secure and disseminate data with spreadsheets and databases. Learn how to convert data into information that is beneficial to supporting business decisions.

Students will learn commonly used data analysis tools and techniques. They will learn how to use and apply software that allows business professionals to gather, store, access, and analyze data to aid in decision making. The course will teach students how to discover and communicate information from data through the use of basic, intermediate, and advanced functions and tools in commonly used spreadsheet and database software. Each student will learn about the visual representation of data, optimization techniques, queries, pivot tables, reporting tools, data storage, and more.

Topics of special interest in management information systems, which may vary each time the course is offered. Topic and prerequisite stated in current Schedule of Classes. May be repeated under different topics for a maximum of six hours credit.

Gives students an understanding of basic network design concepts and an opportunity to apply them in a business context. Studies the functionality, performance and management of multiple network designs. Application of the theories, design and technologies utilized in modern business data communications networks.

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.

Explores data analysis and statistical methods as well as best practices for continuous iterative investigation of past business performance to gain insights and drive business planning. Exposes the students to several aspects of Business Analytics. Investigates data analytics fundamentals, data cleansing and transformation, and supervised/unsupervised data mining techniques for tasks like targeted mailing campaigns, customer segmentation, customer churn, fraud detection and market basket analysis.

Provides students with hands-on experience with all phases of a security assessment for a live client. Students are responsible for planning the assessment, executing assigned tasks, and reporting results.

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.

Explores data analysis and statistical methods as well as best practices for continuous iterative investigation of past business performance to gain insights and drive business planning. Exposes the students to several aspects of business analytics. Investigates data analytics fundamentals, data cleansing and transformation, and supervised/unsupervised data mining techniques for tasks like targeted mailing campaigns, customer segmentation, customer churn, fraud detection and market basket analysis.