Management (MNGT)
A study of organizational theory, group behavior, motivation, and systems applications to organizational management.
A study o data collection, presentation, and analysis including interval estimation, hypothesis testing, Bayesian analysis, regression, and correction techniques.
Planning, organizing, and controlling production with emphasis upon contemporary quantitative techniques and their applications.
The task of business ethics is the systematic study of ethical values that ought to guide human conduct; the study of what constitutes the obligations and responsibilities of agents and institutions; the examination of predictable outcomes in human costs and benefits; the study of character traits or dispositions--all in the interest of promoting human welfare.
Requirement: This course is to be taken after the student has completed at least 27 hours in the MBA Program. Business policy is an interdisciplinary capstone course which focuses on all aspects of business.
This course offers a thorough coverage of univariate statistical inference. Topics include simple regression, analysis of variance, multiple regression and correlation, and moving average time-series models.
This course offers a continuation of MNGT 710. Topics to be covered include concepts and techniques of non-parametric statistics, advanced topics in regression, time series analysis, autocorrelation, auto-regressive moving average models, identification, fitting and forecasting.
This course offers the doctoral students a thorough analysis of the theory and applications of multivariate methods. Topics to be covered include matrix algebra, factor analysis, canonical correlation, discriminant analysis and multivariate analysis of variance.
This course focuses on social and behavioral research methods to explore business and organizational problems. The course provides the student with theory, research, and techniques associated with the investigation of specific research problems in functional areas of business.
This course offers alternative theoretical approaches useful for analyzing organizational environment and intra-organizational relations. The course emphasizes understanding of macro-organizational behavior concepts and empirical research related to design, structure, and functioning of organizations.
This course offers an analysis of techniques involved in the development of computer-based systems designed to help managers in decision making and problem solving processes. Topics include assessment of technology available, discussion of the design and implementation of such systems.
This course offers special topics dealing with important isses in strategic management. The course emphasizes global and technological perspectives of strategic management issues.
This course offers an in-depth study of problems of operating across multiple political and cultural boundaries. Topics include theory and practice of the international business, global competition, organizing for global operations, market entry, innovations, and comparative management.
This course focuses on the human aspects of problems arising in technical, social, and organizational arenas faced with the need to change. The course includes detailed analyses of organizations as systems, organizational leadership and change.
This course offers an overview of the theory and research in strategic management with a scholarly research orientation on issues of both strategic content and process. The empirical study of these issues is emphasized.
This course offers discussions of special topics dealing with important issues pertaining to efficient management of organizations. Issues dealing with production and inventory management, and the development of leadership skills are to be addressed. Specific topics are to be selected by the instructor and may vary each semester.
Students will complete doctoral level research which must culminate in the successful development and defense of the dissertation in the field of Management. Students may register for more than one section in a given semester. A minimum of 21 credit hours of Ph.D. Dissertation is required.