Topics in Software Engineering. (3-0) 3 Credit Hours

Catalog description

Prerequisite: EE 5123 or consent of instructor; concurrent enrollment in QST 6003 is recommended. Topic 1: Large Domain-Specific Software Architectures. Software engineering approaches; scenario-based design processes to analyze large problem domains; domain modeling and representations; creation of component-based architecture providing an object-oriented representation of system requirements; and development of large software class projects. Topic 2: Embedded Software Systems Design. This topic covers dataflow models, uniprocessor and multiprocessor scheduling, hardware/software codesign, hierarchical finite state machines, synchronous languages, reactive systems, and heterogeneous systems. Topic 3: Embedded Software Testing and Quality Assurance. Systematic testing of embedded software systems; unit (module), integration, and system-level testing; software verification; hardware/software cotesting; code inspections; use of metrics; quality assurance; measurement and prediction of software reliability; software maintenance; software reuse and reverse engineering. Topic 4: Advanced Engineering Programming. Programming in the cloud, advanced engineering design problems and techniques using C++ and Java, advanced data structures and complexity analysis of algorithms, dynamic programming using Perl and Python, and large-scale and real-world group and individual projects. Topic 5: Quantum sensing is the most advanced area of quantum information science and engineering, with technological applications currently available on the market. This course will examine spin qubits such as diamond vacancy centers, trapped ions, flux qubits in superconducting circuits, nanoparticles, and photonic quantum systems. Foundational properties and techniques of quantum mechanics, such as perturbation theory, quantum entanglement, quantum interference, and quantum state squeezing, will be covered in depth and used to create sensors with sensitivity and accuracies greater than traditional classical approaches. Quantum sensing of magnetic, electric, gravitational, and broadband electromagnetic fields will be studied, with applications from position, navigation, and timing in GPS-denied environments to the measurement of new space-time scales in the brain via quantum sensor arrays in magnetoencephalography. May be repeated for credit as topics vary. Generally Scheduled Location: Main Campus, Downtown Campus, Internet. This course has Differential Tuition.