Course Details

Course Code: IT9003
Course Title: Computer Vision
Short Title:  
Course Level:: Level 9
Valid From:: 2023/2024 Sem 2
Credits:: 15
Owner: School of ICT
Assessment Method: Achievement
Course Aim

This course develops the theoretical aspects as well as practical algorithms for automatically extracting useful information from image or image sequences. A number of basic image processing concepts are introduced such as digitization, preprocessing, image restoration and segmentation. Standard linear image processing algorithms are discussed as well as some concepts and algorithms for image processing. The students will also be introduced to the current research and the application of Computer Vision in the AI fields. 
 
CILO
On Completion of this course, the learner will be able to
# Learning Outcome Description
1 Demonstrate critical knowledge and understanding of human and computer vision systems, image processing and its algorithms.
2 Implement image processing algorithms in a professional manner.
3 Critically analyse information about the current research in Computer Vision with relation to AI applications
Requisites
No requisites
 
Examinations
Assessment Type
Examination (Unseen)
Assessment Type
Examination (Unseen)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type
Practical Project

The institute reserves the right to alter the nature and timings of assessment

Affiliated Entities
Entity Code Entity Title Entity Version Entity Type
ICT1099 Doctorate of Philosophy in Computer Science 1 Programme
ICT9010 Master of Science in Artificial Intelligence 1 Programme
ICT9099 Master of Science by Research in Computer Science 1 Programme