Presents fundamental concepts from two perspectives-that of the individual business computer user & corporate business computing environment. Course will enable students to become familiar with common business computing applications; it is not a "hands on" applications training course. Students will use their existing computer skills to complete assignments.

This course introduces the basic tools for building business systems using object-oriented and event-driven programming paradigms. Emphasis will be placed on using Java, C# and J# to illustrate these ideas.

This course continues developing the basic tools for building business systems using object-oriented and event-driven programming paradigms. Emphasis will be placed on using C++ to illustrate these ideas.

Conceptual foundations of the process, data and object oriented approaches for the analysis and design of business systems. Systems development life cycle, rapid application design, CASE tools also covered.

This is an introductory course on database management. Topics covered include various stages in a database development process such as conceptual, logical, application, and physical design.

This course focuses on how workstations in various environments can communicate with computer-based systems used in businesses for routine data processing, management reporting systems, and decision support systems. Topics include the convergence of computers and telecommunications in modern businesses, basic data representation problems, the use of local area networks in businesses, office automation applications, using microcomputer-mainframe systems for reporting and decision making, and strategic management questions relating to businesses goals, long-range planning and budgeting.

This course will help students gain insights into network security. The students will be exposed to various security algorithms and techniques. There will be hands-on experience with projects and homework assignments.

Policy and management issues surrounding information systems and operations management in today's enterprises.

This course focuses on the practical issues relating to the introduction and use of knowledge-based systems in a wide range of business situations. Particular attention is given to understanding how to build systems to support managerial planning and decision making in various functional areas of business, such as finance, marketing, production, distribution, personnel and accounting.

Variable content course providing an opportunity for in depth study of topics not offered in other courses and of topics of special current significance.

Managerial concepts and quantitative tools required in the design, operation, and control of production systems and their relationship to business functions.

Managerial concepts and quantitative tools required in the design, operation, and control of service systems and their relationship to other business functions. Operations planning and control decisions in service-oriented firms are reviewed by examining the nature and characteristics of service delivery systems, investigating different design alternatives, and reviewing approaches for forecasting, scheduling, and controlling service flow and activities.

An in-depth view of the control and planning of production systems to include independent and dependent demand systems, JIT, production planning systems, aggregate planning, master production scheduling, quality control and quality assurance programs, and forecasting models.

The first part of a two-course sequence in which multi disciplinary teams of engineering and business students partner with industry sponsors to design and build authentic products and processes—on time and within budget. Working closely with industry liaison engineers and a faculty coach, students gain practical experience in teamwork and communication, problem solving and engineering design, and develop leadership, management and people skills.

Second part of MAN 4538-4539 sequence.

The basic principles, organizational issues and tools of project management. Project organization, project selection, planning, scheduling, monitoring, earned value analysis, and resource management.

Correlation and linear regression, model building, multiple regression, analysis of variance, analysis and decision analysis. Regression modeling with computer applications for business problems.

This course provides an introduction to the concepts and applications of Management Science. As a result, students will become more confident in understanding and using deterministic analytic models.

This course provides an overview of stochastic applications of Management Science. Students will learn stochastic modeling techniques and introductory visual basic.

Concepts and techniques of the simulation approach applied to complex managerial problems.

Reading and/or research in decision and information sciences. A written report is required.

Variable content course providing an opportunity for in depth study of topics not offered in other courses and of topics of special current significance.

Applied work in decision and information sciences. Requires several papers and reports. Will be counted as free-elective credit only.

This course permits formal coursework taken at a foreign university as part of an approved study abroad program to be recorded on the transcript and counted toward graduation.

A thesis is required for award of magna cum laude or summa cum laude designations. To qualify, students normally have completed 90 semester hours of coursework (exceptions may be made) and must have at least a 3.6 GPA at the time they enroll. The thesis will be reviewed by at least one faculty member chosen by the honors coordinator for the student's major department.