Course Schedule - Spring Semester 2020

     

ELEC 441 001 (CRN: 24049)

COMPUTATIONAL IMAGING

Long Title: COMPUTATIONAL IMAGING
Department: Electrical & Computer Eng.
Instructors:
Mait, Joseph
Athale, Ravi
Meeting: 1:00PM - 2:15PM TR SEW 307 (13-JAN-2020 - 24-APR-2020) 
Session: 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: 20
Section Enrolled: 0
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 9
Enrollment data as of: 6-DEC-2021 9:07AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
 
Description: A upper-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. Cross-list: ELEC 579.