Concepts related to leading information technology-enabled change in business, including fundamentals of information systems, business process improvement, business and data modeling, project management, and intensive spreadsheet utilization.

Concepts related to leading information technology-enabled change in business, including fundamentals of information systems, business process improvement, business and data modeling, project management, and intensive spreadsheet utilization.

Concepts related to leading information technology-enabled change in business, including fundamentals of information systems, business process improvement, business and data modeling, project management, and intensive spreadsheet utilization.

The foundations for analyzing and understanding data-oriented problems, decomposing them, and expressing them in a form for computational analysis. This involves the acquisition, manipulation, analysis, and visual representation of data to provide insights into a particular problem and support decision making. While the proximate goal is to improve data analytics skills, the ultimate goal is to equip students with superior decision-making skills.

Using latest methods and tools, students will combine existing Web services in unique ways. A key premise is that Web technology has advanced such that surprisingly useful applications can be developed with no more technical background than that of an average Facebook or email user. Examines the wider societal implications.

Energy Informatics involves analyzing, designing, and implementing systems to increase the efficiency of energy demand and supply systems. This requires the collection and analysis of data used to optimize energy distribution and consumption networks. Students will leverage the necessary information systems competencies and multi-disciplinary knowledge to increase societal energy efficiency.

Introduction to computer programming using an object-oriented language, top-down design, structured programming, and debugging, testing, and implementation.

Introduction to computer programming using an object-oriented language, top-down design, structured programming, and debugging, testing, and implementation.

Introduction to computer programming using an object-oriented, high-level programming language (Python) and debugging, testing, and implementation.

Data management, including database design, development, access, and administration. Provides foundations of data analytics, including data visualization and data mining.

Data management, including database design, development, access, and administration. Provides foundations of data analytics, including data visualization and data mining.

Emphasis on development of business application systems using object-oriented and structured analysis tools and techniques for describing processes, use cases, data structures, system objects, file designs, input and output designs, and program specifications. Includes a service-learning project with requirements gathering, planning, and development of a prototype for an internal/external client.