CVE.U1 Artificial Intelligence Overview
  • Artificial Intelligence Fundamentals
  • Machine Learning Basics
  • Underpinnings of Deep Learning
  • Artificial Intelligence Applications, Use Cases and Real-Life Examples
  • The Philosophical Problems Surrounding AI: Issues, Concerns and Ethical Considerations
CVE.U2 Computer Vision Fundamentals
  • Computer Vision Overview
  • Object Detection and Tracking, Motion Estimation, Facial Recognition, Scene Understanding and 3D Reconstruction
  • This learning element provides insights on the different types of computer vision techniques as well as their purposes.
  • Image Formation
  • Image Processing and Manipulation
  • Dimensionality Reduction: Feature Selection and Extraction
  • Image Segmentation
  • Image Classification
  • Video Basics
  • Feature Detection and Matching
CVE.U3 Computer Vision in Practice
  • Familiarization with Well-Known Computer Vision Tools
  • Analysis and Exploration of Typical Problems or Tasks Pursued in Computer Vision
  • Resolution of common computer vision problems