Fundamentals of systems analysis, including the essential concepts and major paradigms of software and data modeling, and cutting-edge software and data modeling methods, and techniques. Prerequisites: CPS 410, ITC 341, or graduate standing.

Computer and network security, cryptography, encryption, threat models, protocols and algorithms, confidentiality, integrity, authentication, authority, access control, operating system and software security, malware, intrusion detection. Prerequisites: ITC 465 or graduate standing.

Wireless networks, mobile devices, programming environments. Current contemporary topics on mobile computing. Student projects and literature review. Prerequisite: ITC 510.

Containerized and cloud-based application development using microservice design patterns. Automated management of cloud services. Course does not count towards a major in CPS or ITC or the MS in CPS. This course may be offered in an online or hybrid format. Prerequisite: ITC 341; or graduate standing.

Containerized and cloud-based service orchestration and management using standard frameworks. Integration of multiple cloud providers. Course does not count towards a major in CPS or ITC or the MS in CPS. This course may be offered in an online or hybrid format. Prerequisite: ITC 341; or graduate standing.

Application of artificial intelligence to IoT data, including data ingestion and distributed processing. Use of AI tools. Course does not count towards a major in CPS or ITC or the MS in CPS. This course may be offered in an online or hybrid format. Prerequisites: CPS 280 or 340; STA 282 or 382; or graduate standing

In-depth analysis of security and privacy issues. Secure network design, risks and vulnerabilities, responding to security breaches, host/server and physical security, and encryption technologies. Prerequisites: ITC 520.

Study the architecture and algorithms of state-of-art cloud computing and services such as distributed computing, virtualization, storage, IaaS, PaaS, SaaS, MapReduce and cloud software tools. Prerequisites: ITC 510.

Foundation of big data and data analytics lifecycle, structured and unstructured data, analytic methods, MapReduce programming model, big data analytics technologies and tools. Prerequisites: ITC 510.

Current topics in information technology. Development, demonstration, and presentation of research and application projects. Prerequisites: 12 hours of graduate courses in ITC.

Research in information technology. CR/NC only. Prerequisites: Written permission of advisor and department chairperson.