Introduction to concepts and principles of decision making, components of decision support systems, development of decision support systems, management and operation control systems, and business applications of decision support systems.

The course introduces the definition and roles of marketing as one of business functions.  Modern marketing concepts, marketing system, consumer behavior, marketing mix, tools for marketing management and responsibility and ethics of marketers are discussed.

The Process Perspective; Process Management; Process Modeling, Analysis and Design; Business Process Management Framework; Business Process Management Systems (BPMS); Enterprise Process Management Program Planning; BPM Implementation Strategies; Key Skills, Roles and Responsibilities in implementing BPM; Business Process Architecture; BPM Value Proposition.

This course is intended to present various functions in modern manufacturing and service organizations that are important to their business operations.  These functions include defining operations strategy, decision analysis, designing the operating system, facility design, project management, supply-chain management, forecasting, capacity and aggregate planning, inventory management, scheduling, and quality management.

A study of the roles, functions and objectives of financial management, various types of business organizations and tax involved. Discussions will also cover financial analysis, basic principles in financial management in both allocation and acquisition of funds.

An eclectic approach to a social and behavioral survey of major topics in psychology, including learning, motivation, intelligence, personality, mental illness, and social relations. 

Introduction to business programming, programming processes, programming environments, object-oriented and event-oriented models, and database programming.

This course emphasizes on applications of statistical analysis techniques.  Topics discussed include a review of hypothesis testing, analysis of variance, regression analysis, experimental design, non-parametric inference, basic time series models, and other fundamental methods of statistics. The applications of business statistical tools will be covered.