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Course Criteria
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3.00 Credits
The course is an interdisciplinary introduction to Europe through an examination of history, geography, literature, politics, and economics. The topics will range from historical foundations of Europe to the important contemporary issues and trends. Faculty with expertise in various aspects of Europe will participate in teaching the course. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
Introduction of contemporary information system concepts. Students will gain experience and training on advanced functionality in Excel to support information management and to solve structured business problems. Students will be introduced to business analytics to explore the capabilities and challenges of data-driven decision-making. Topics include also ethical issues associated with technology.
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3.00 Credits
This course provides an introduction to the planning, design, and implementation of data management systems across the enterprise. Topics include data management strategy, data modeling, infrastructure design, query design, reporting, and visualization. Special emphasis will be placed on in-memory database systems, such as SAP HANA. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
Students learn fundamental information technology concepts, processes and tools that drive business innovations resulting in local and distributed product and service solutions. Specifically, students will be introduced to solution design, prototyping, solution development and deployment, communication, and user-data analytics in in startup and growth companies. Students end the course with a technology portfolio of installed and cloud-based platforms and services.
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3.00 Credits
This course will examine methods that have emerged from the field of business analytics and are proven to have value in the areas of forecasting, classification, and association. This class provides the opportunity to gain knowledge and hands-on experience with algorithms and technology tools for business analytics. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
This course presents a range of advanced topics information management providing a solid foundation of the theory and application of information management techniques and practices for which no regular course is offered. A maximum of 6 credit hours of special topics courses may be applied toward the business major elective requirement. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
This course analyzes the conceptual and technological dimensions of Enterprise Resource Planning, emphasizing the integration between enterprise systems, data, and business processes within and across enterprises. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
This course focuses on business analytics-an approach that entails the use of analysis, data and systematic reasoning to make business decisions. To successfully compete in today's global business environment, organizations must constantly monitor, recognize and understand every aspect and every issue of their operations, their industry and the overall business environment. The course examines the strategic and managerial foundations of business analytics, its use cases and conceptual and ethical considerations. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
The course emphasizes a team-based learning experience where students will integrate their knowledge of data analytics as part of an organizational case study. Students will learn how to use skill sets of predictive modeling, data management, process models, and data mining techniques, to identify, evaluate, and create data-driven decisions that support the organization. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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3.00 Credits
This course covers database security and auditing. The focus is on the key components of information assurance as it relates to database systems - confidentiality, integrity, and availability, and how these components can be managed and measured. NOTE: Please refer to the appropriate academic catalog for additional course information concerning prerequisites, co-requisites and course restrictions.
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