Examines formal analysis an synthesis approaches for discrete, continuous, and hybrid models of computing systems and their physical environment. Introduces timed and hybrid automata models. Analysis techniques including model checking, Hoare-style deduction, and abstractions for safety and stability, and controller synthesis strategies with applications in distributed robotics, automobile system, traffic control, and real-time systems. Course Information: Same as CS 584. 4 graduate hours. No professional credit. Prerequisite: CS 476 or CS 477.
Description of the algorithms and procedures required to study the reliability of integrated circuit products. Covers reliability modeling, physical causes of semiconductor device failure, reliability model development and calibration, model-based reliability prediction, product testing and measurement, and failure diagnosis. Coverage emphasizes application to integrated circuit technology.