Information Science (INSC)

The requirements capture, design, and development of relational database applications; analysis of business requirements and development of appropriate database systems.

Functional overviews of algorithms used in data mining will be presented and contemporary data mining software used to conduct a project.

Design and development of business processes that align business objectives with Information Technology (IT) systems.

Examines the legal concepts/issues applicable to the field of information technology and to information technology, software engineering, and computer professionals.

Computing and network technologies are constantly changing. However, they must be well adopted to help transform enterprise information systems to better support business operations and management. This course will explore various emerging theories and technologies in information science, including at least cloud computing, mobile application, Internet of things, blockchain, machine learning, and artificial intelligence. Students will learn how the emerging theories and technologies can be applied to addressing the weakness of legacy enterprise information systems in which the emerging technologies are not employed yet.

A web-centric look at the latest techniques and practices in computer security as they apply to the Internet.

Supervised student activities on research projects identified on an individual or small-group basis.

Computing and network technologies are constantly changing and must be adopted appropriately to help transform enterprise information systems that better support business operations and management. This course will investigate the evolution of information systems architecture. Students will learn to employ contemporary information systems architecture to enhance IT support for business operations and management in organizations. Students will explore contemporary information systems architecture from different perspectives, including perspectives in technology, business operations, and management.

The objective of this course is to provide a foundation in the principles of network and predictive analytics along with hands-on experience with statistical analysis software for studying the interrelatedness of cyber-social and cyber-technical aspects of our society as a whole that have transformed physical communities into virtual communities. Fundamental principles of network and predictive analytics, the importance of studying network structures, and how network structures can facilitate communication, coordination and cooperation will be discussed. Statistical analysis software will be used for analyzing the structure of an organization or a society as whole to detect and capture the dynamic patterns of group membership and structure, and predict threats, attacks, criminal behavior and evolution of criminal networks.

Formal courses given on a topical or special interest subject which may be offered infrequently.