Course Schedule and Catalog

Department: Electrical & Computer Eng.

Meeting: 2:00PM - 3:15PM MW (25-AUG-2025 - 5-DEC-2025) 

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

 

Section Max Enrollment: 20

Section Enrolled: 9

Enrollment data as of: 20-APR-2025 2:20AM

 

 

Final Exam: GR Course-Dept Schedules Exam

 

Description: The course explores the fundamental properties of light propagation, optical instruments, imaging systems, algorithms for image processing, 3D image reconstruction, and their applications in autonomous navigation and remote sensing. It emphasizes a system approach to the analysis and design of optical systems from an engineering perspective, focusing on the physical and technical constraints to select appropriate lenses, cameras, and algorithms to design and integrate optical systems into autonomous platforms. Additionally, the course will involve programming and implementation of basic computer vision algorithms in MATLAB and/or Python. Students will also gain insights into various 3D sensors and reconstruction algorithms, understanding how their different performance capabilities make them suitable for various application domains. Recommended Prerequisite(s): Prior knowledge of undergraduate-level optics is a plus, but the course is self-contained.