School of Computer Science

Module 19339 (2018)

Module description - Computational Vision

The Module Description is a strict subset of the Syllabus Page.

Module Title Computational Vision
School School of Computer Science
Module Code 06-19339
Level 2/I
Member of Staff Hamid Dehghani
Semester Semester 1 - 10 credits

2 hrs lectures per week, 1 hr lab/exercise class

Contact Hours:

Approx. 34


The module provides an introduction to computer vision, intended for students with some prior background in AI. Appropriate computational models, techniques and algorithms will be introduced, so that students can both understand the relevant literature and construct simple software systems.


On successful completion of this module, the student should be able to:

  1. make informed choices about which sort of algorithms to apply to solve specific problems
  2. use standard vision libraries or software to construct working vision systems
  3. apply algorithms to simplified problems by hand
  4. discuss the advantages and drawbacks of different methods, explaining their working

Sessional: 1.5 hr examination (70%), continuous assessment (30%).

Supplementary (where allowed): By examination only.

The continuous assessment consists of a team project.