Course Schedule and Catalog
Course Schedule - Spring Semester 2018
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 302 001 (CRN: 21491)
INTRODUCTION TO SYSTEMS
Long Title: INTRODUCTION TO SYSTEMS
Department: Electrical & Computer Eng.
Instructor: Antoulas, Athanasios C
Meeting: 9:00AM - 9:50AM MWF (8-JAN-2018 - 20-APR-2018)
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:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisites: ELEC 301 OR MATH 355 OR CAAM 335 or permission of instructor
Section Max Enrollment: 49
Section Enrolled: 10
Enrollment data as of: 18-APR-2024 8:42PM
Final Exam: No Final Exam
Final Exam Time:
26-APR-2018
2:00PM - 5:00PM R
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. For the above examples, depending on the level of modeling detail required, complexity may range anywhere from a few thousand to a few million first order equations, and above. Simulating (controlling) systems of such complexity becomes a challenging problem, irrespective of the computational resources available. In this course we will set the foundations for model of linear systems. For this, state space representation will be introduced and analyzed. One of the main conclusions will be that certain appropriately defined singular values will provide the trade-off between accuracy and complexity of these dynamical systems.