At the end of the COSI Programme, the student should be able to:

  1. describe and apply fundamental aspects of digital imaging, including optics, vision, maths and computation, light, detectors and image processing;
  2. implement and apply current colour and spectral technologies and other High-Tech devices used in digital imaging, demonstrating the ability to design and implement colour and image processing algorithms;
  3. calculate a range of colour quantities and image quality quantities, apply transforms, derive and implement colour and image metrics;
  4. analyse colour technology and machine vision problems into components, construct solutions and design processing workflows;
  5. model colour and digital image processes and predict a range of quantities including visual and psychometric response, colour appearance, perception of quality, spectral and colorimetric reproduction, 2D and 3D spatial models, display functions;
  6. evaluate own and previous work from both a theoretical and a practical perspective;
  7. select data sources and use data sources to obtain additional information;
  8. learn new knowledge, to understand the basics introduced, how and why they have been implemented in some applications;
  9. analyse, evaluate, and report the main concepts introduced;
  10. understand why some solutions may solve some problems while for other applications these solutions cannot be used;
  11. communicate clearly, to exchange with others, to interact with others, to work with a team;
  12. apply/implement principles introduced on practical tasks or industrial study cases;

The definition of above learning qualities are variable as they are the result of the close involvement of our industrial partners in the learning design of COSI. Hence they are likely to change from one semester to another to best meet the requirements of employers.