Yearbooks

Advanced topics in intelligent systems 733


 
Module code EAI 733
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

The aim of the module is to augment the general background provided by the EAI 732 module with the specific theoretical background required for MEng. The module will, depending on the intended research field of the student, incorporate advanced theory from fields such as: Digital Image Processing, Computer and Robotic Vision, Probabilistic Robotics, Data Fusion, Hardware and Software Parallel Processing, Real-Time and Reactive Systems.

Module credits 32.00
NQF Level 08
Prerequisites EAI 732
Contact time 10 lectures per week
Language of tuition Module is presented in English
Department Electrical, Electronic and Computer Engineering
Period of presentation Semester 1 or Semester 2

The regulations and rules for the degrees published here are subject to change and may be amended after the publication of this information.

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