Course Schedule and Catalog
Course Schedule - Fall Semester 2019
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 439 002 (CRN: 14046)
DATA AND SYSTEMS
Long Title: DATA SCIENCE AND DYNAMICAL SYSTEMS
Department: Electrical & Computer Eng.
Instructor: Antoulas, Athanasios C
Meeting: 10:00AM - 10:50AM MWF (26-AUG-2019 - 6-DEC-2019)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Section Max Enrollment: 69
Section Enrolled: 20
Total Cross-list Max Enrollment: 69
Total Cross-list Enrolled: 44
Enrollment data as of: 9-SEP-2024 5:07PM
Final Exam: No Final Exam
Final Exam Time:
16-DEC-2019
9:00AM - 12:00PM M
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. Cross-list: ELEC 519. Recommended Prerequisite(s): ELEC 301 OR MATH 355 OR CAAM 335 Mutually Exclusive: Cannot register for ELEC 439 if student has credit for ELEC 519.