Course Schedule - Spring Semester 2020

     

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 579 001 (CRN: 24050)

COMPUTATIONAL IMAGING

Long Title: COMPUTATIONAL IMAGING
Department: Electrical & Computer Eng.
Instructors:
Mait, Joseph
Athale, Ravi
Meeting: 1:00PM - 2:15PM TR (13-JAN-2020 - 24-APR-2020) 
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):
Graduate
Section Max Enrollment: 20
Section Enrolled: 9
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 9
Enrollment data as of: 12-JUN-2024 9:24AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: A graduate-level introduction to imaging systems as an integral part of the sense-process-decide-act cycle. This cycle is central to the operation of any goal-directed system, biological or engineered. Students will gain a basic understanding of the mechanisms by which information about a scene is encoded on an electro-magnetic wave. Furthermore, the students will learn to analyze the information extraction process realized via the imaging chain of front-end optics, transduction, and post-processing. The objective of the course is to understand the limits of modern image formation and how optics, photonic-to-electronic transduction, and post-detection processing can be jointly designed to enable imagers with unique capabilities. Additional coursework required beyond the undergraduate course requirements. Cross-list: ELEC 441.