Explores modern global integrated supply chain management. Covers traditional supply chain topics such as procurement, inventory management, operations, quality management, customer service, performance management and analytics, logistics and transportation. Also discusses issues related to sustainability, humanitarian logistics, ethical business practices and supply chain analytics in the context of evolving supply chains around the world. Students discover how business processes, performance metrics and modern supply chain IT tools aid in the management and growth of effective and efficient supply chains.

Network architecture and protocols, principles of network applications, socket programming, flow and congestion control, switching and routing, link-layer technologies, traffic capture and analysis, security.

Survey course equips students with the skills to harness technology for creating sustainable business value, focusing on building scalable and agile business infrastructures and platforms. Introduces AI and machine learning fundamentals, data analytics principles, process modeling and systems implementation. Through exploring frameworks and theories, students learn to thoughtfully develop and apply technology and data analytics within a business context, underpinning the strategic importance of information systems in fostering business innovation and efficiency.

Python programming for data extraction and transformation, data preparation for machine learning and AI processing, application and interpretation of machine learning algorithms, and visualizing data patterns and prediction outputs programmatically with a focus on utilizing these tools in business applications. Concepts and approaches to mindful data management.

Database theory, design, and application, including the entity-relationship model; the relational, hierarchical, and network database models; and query languages.

Covers the activities, decisions, risks and controls associated with enterprise business processes. Specific focus on the activities in the sales-to-cash (revenue cycle) and purchase-to-pay (expenditure cycle) processes. Students understand how IT enables performing those processes more efficiently and effectively. In addition to identifying internal controls necessary for accurate, complete performance of processes, also covers the fundamentals of cybersecurity.

Covers the activities, mechanisms and challenges associated with implementing the principles of privacy into corporate structures. Also provides an overview of the privacy regulatory landscapes as well as emerging challenges with privacy. Specific focus areas include the Generally Accepted Privacy Principles framework and the implementation of privacy controls via the use of process and technology.

Concepts of computer forensics, forensic analysis techniques, computer forensic tools and software for forensic investigators, network forensics, data forensics, mobile device forensics, malware forensics, cyber crimes and fraud, computer security incident response.