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Computer Vision

Course Introduction

  • Course Name: Computer Vision
  • Course Code: CII4Q3
  • Credits : 3
    • Elective course on Artificial Intelligence Track
    • Focused in the practical implementation of Modern Computer Visions

Prerequisite: Basic Knowledge Required

  • Proficiency in Algorithm and Programming
  • Calculus, Linear Algebra
  • Artificial Intelligence

Prerequisite: Equivalent knowledge

  • Digital Image Processing
  • Machine Learning

Course Objective

  • Specific materials aimed to support your thesis
  • Covering Machine Learning research and developments, with specific examples on Computer Vision

Points

  • CLO 1 : understand the basic concepts of visual object recognition systems
  • CLO 2 : implement a visual object recognition system using a machine learning-based approach
  • CLO 3 : implement a visual object recognition system using a deep learning-based approach

Point Distribution

A 80 … 100.0
AB 75 … 79.9
B 70 … 74.9
BC 60 … 69.9
C 50 … 59.9
D 40 … 49.9
E 0 … 39.9

Course Reference

Convolutional Neural Network

Lecture Slides

Exercises

Lecture Viewer


Teaching History

  •  2020

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