Course Schedule - Fall Semester 2020


ELEC 519 901 (CRN: 14436)


Department: Electrical & Computer Eng.
Instructor: Antoulas, Athanasios C
Meeting: 9:45AM - 10:40AM MWF FULLY ONLINE (24-AUG-2020 - 4-DEC-2020) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Online
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Must be enrolled in one of the following Level(s):
Section Max Enrollment: 69
Section Enrolled: 8
Total Cross-list Max Enrollment: 69
Total Cross-list Enrolled: 9
Enrollment data as of: 3-OCT-2023 5:55PM
Additional Fees: None
Final Exam: No Final Exam
Final Exam Time:
9:00AM - 12:00PM M TBA TBA
Description: In many applications one is faced with the task of simulating or controlling complex dynamical systems. Such applications include for instance, weather prediction, air quality management, VLSI chip design, molecular dynamics, active noise reduction, chemical reactors, etc. In all these cases complexity manifests itself as the number of first order differential equations which arise. Model (order) reduction (MOR) seeks to replace a large-scale system described in terms of differential or difference equations by a system of much lower dimension that has nearly the same response characteristics. The ensuing methods have been an indispensable tool for speeding up the simulations arising in various engineering applications involving large-scale dynamical systems. In this course we will develop the underlying approximation theory paying particular attention to its data-driven aspects. Additional coursework required beyond the undergraduate course requirements Cross-list: ELEC 439. Mutually Exclusive: Cannot register for ELEC 519 if student has credit for ELEC 439.