This is a core Cyber Physical Systems (CPS) class. It provides fundamental core material in signal processing, machine learning, and feedback control. However, the material is not presented in a …
Cyber-physical systems (CPS) are smart systems that include co-engineered interacting networks of physical and computational components. This course will teach students the required skills to analyze the CPS that are …
This course is designed to develop cross-competency in the technical, analytical, and professional capabilities necessary for the emerging field of Cyber-Physical Systems (CPS). It provides convergence learning activities based around …
This course provides an overview of the state of the art in software analysis including static and dynamic analysis techniques and verification and validation. It explores the various ways that …
A graduate student returning from Curricular Practical Training can use this course to claim one credit hour of academic credit after successfully reporting, orally and in writing, a summary of …
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
Analyzes network topologies; backbone design; performance and queuing theory; data-grams and virtual circuits; technology issues; layered architectures; standards; survey of commercial networks, local area networks, and contention-based communication protocols; encryption; …
Content varies based on the interest and needs of students. Topics may include safety critical systems, parallel processing, information retrieval, data communications, computer networks, real-time computing, distributed multimedia systems, electronic …
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.