None
Course Number:
CSCI 4451
Approved Starting Semester:
Fall 2025
Course Title:
Computer Vision
Course Description (Bulletin Description):
Computer vision is a field of artificial intelligence that empowers computers to glean meaning from images and videos. This course will use modern languages and libraries to create applications that involve image processing, video processing, retrieval, object detection, tracking, face detection, and depth estimation.
Prerequisite:
CSCI 2010 with a grade of “C” or higher, and CSCI 2011 with a grade of “C” or higher.
Co-requisite:
None
Pre/Co-requisite::
None
Dual-Listed:
None
Course Objectives (Course-level Student Learning Outcomes):
At the completion of the course, the student will be able to:
Topics Covered (In Outline/Calendar):
image processing, video processing, image retrieval, motion detection, object detection, object tracking, face detection, face identification, depth estimation, and machine learning as it relates to any of the aforementioned topics.
Student Learning Outcomes:
- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (SLO1)
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. (SLO2)
- Apply computer science theory and software development fundamentals to produce computing-based solutions. (SLO6-CS)
Course Coordinator:
To be decided!
Instructor-in-charge:
To be decided!
Previous Professors:
None!
Technologies / Skills:
Artificial Intelligence, Computer Vision
Textbook(s):
Summer/Spring 2028
Title: To be decided!
Edition: To be decided!
Authors: To be decided!
Publisher: To be decided!
ISBN: To be decided!
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