Dursun Delen

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Interdisciplinary in nature; focused on research methodology.Offered for variable credit, 3-6 credit hours, maximum of 12 credit hours.Prerequisite(s): Consent of instructor.

In depth study in one or more topics in MSIS field. An ongoing conversation about major issues in the field. Topics related to any one of the areas within the broad, interdisciplinary field of management science and information systems, such as management information systems, management science, telecommunications, and operations management.Offered for variable credit, 1-12 credit hours, maximum of 12 credit hours.Prerequisite(s): Doctoral standing.

A comprehensive analysis of contemporary business intelligence tools and techniques used in managerial decision-making, including decision support systems, data and text mining, knowledge management, expert systems, neural networks, and other tools and techniques.Prerequisite(s): Graduate standing.

A comprehensive analysis of contemporary business intelligence tools and techniques used in managerial decision-making, including decision support systems, data and text mining, knowledge management, expert systems, neural networks, and other tools and techniques.Prerequisite(s): Graduate standing.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Interdisciplinary in nature; focused on research methodology.Offered for variable credit, 3-6 credit hours, maximum of 12 credit hours.Prerequisite(s): Consent of instructor.

Applied knowledge management tools and techniques for organizational decision support. Predictive analytics, machine learning, and other emerging techniques.

Applied knowledge management tools and techniques for organizational decision support. Predictive analytics, machine learning, and other emerging techniques.

A comprehensive analysis of contemporary business intelligence tools and techniques used in managerial decision-making, including decision support systems, data and text mining, knowledge management, expert systems, neural networks, and other tools and techniques.Prerequisite(s): Graduate standing.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Interdisciplinary in nature; focused on research methodology.Offered for variable credit, 3-6 credit hours, maximum of 12 credit hours.Prerequisite(s): Consent of instructor.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Applied knowledge management tools and techniques for organizational decision support. Predictive analytics, machine learning, and other emerging techniques.

Applied knowledge management tools and techniques for organizational decision support. Predictive analytics, machine learning, and other emerging techniques.

In depth study in one or more topics in MSIS field. An ongoing conversation about major issues in the field. Topics related to any one of the areas within the broad, interdisciplinary field of management science and information systems, such as management information systems, management science, telecommunications, and operations management.Offered for variable credit, 1-12 credit hours, maximum of 12 credit hours.Prerequisite(s): Doctoral standing.

A comprehensive analysis of contemporary business intelligence tools and techniques used in managerial decision-making, including decision support systems, data and text mining, knowledge management, expert systems, neural networks, and other tools and techniques.Prerequisite(s): Graduate standing.

A comprehensive analysis of contemporary business intelligence tools and techniques used in managerial decision-making, including decision support systems, data and text mining, knowledge management, expert systems, neural networks, and other tools and techniques.Prerequisite(s): Graduate standing.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Applied knowledge management tools and techniques for organizational decision support. Predictive analytics, machine learning, and other emerging techniques.