Oklahoma State University

547

MSIS 5413 Advanced Management Science Prerequisites: Admission to MBA program or consent of MBA director. Description: Advanced management science methods, with computer applications. Mathematical programming, simulation, forecasting, queuing, Markov processes. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture

MSIS 5633 Business Intelligence Tools and Techniques Prerequisites: Admission to MBA, MSTM, or MS in MIS program or consent of instructor. Description: 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. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys MSIS 5643 Advanced Database Management Prerequisites: Admission to the MBA, MSTM or MS in MIS program or consent of instructor. Description: Advanced theoretical and practical foundations of database systems. Brief review of classical issues surrounding design, analysis, and implementation of databases. Overview and use of modern database systems. Current and emerging issues in the database field. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys MSIS 5653 Advanced Systems Analysis and Design Prerequisites: Consent of MS in MIS director, MSTM director or MBA director. Description: Systems thinking. Systems life cycle, modeling approaches, methods, tools, and techniques of systems analysis and design for the development of modern organizational information systems. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys MSIS 5663 Data Warehousing Prerequisites: MSIS 5643. Description: Provides an introduction of the major activities involved in a data warehousing project. These activities include understanding fundamental principles and concepts, design principles, data warehouse prototype development, including table definitions, extract/ transformation/load (ETL) logic, and example report definitions. The class will be hands-on. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys

Department/School: Mgmt Sci & Info Sys MSIS 5503 Statistics for Data Science Prerequisites: Graduate standing.

Description: Data Science focuses on the analysis of large secondary data sets. This course focuses on understanding and applying statistical models and techniques to obtain useful information from large data sets. These techniques are part of supervised statistical machine learning. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys MSIS 5600 Special Projects in Business Information Systems Prerequisites: Consent of MS in MIS director. Description: Study of advanced topics not covered directly in other classes or directed study under the supervision of a faculty member. Offered for variable credit, 1-12 credit hours, maximum of 12 credit hours. Credit hours: 1-12 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Mgmt Sci & Info Sys MSIS 5613 Advanced Production and Operations Management Prerequisites: MSIS 5313 or equivalent; admission to MBA program or consent of MBA director. Description: Production system, including a synthesis of production and management techniques used by operations managers. A computerized management simulation game provides decision-making experience. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys MSIS 5623 Information and Network Technology Management Prerequisites: Admission to a SSB graduate program or consent of MBA director. Description: Major principles and impact of information technology from a manager's perspective in relation to the operation and success of businesses in today's global digital economy. Topics include the Internet, networks and wireless systems, database management systems, decision support systems, social media and e-business applications. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Mgmt Sci & Info Sys