Course Details
Intelligent Systems Engineering
Course Code ENSE806
EFTS 0.1250
Points 15.00
Level 8
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Prescriptor
The course deals with the computational intelligence based methodologies that handle incomplete knowledge and ill defined dynamics. These include (1) fuzzy knowledge based system and their application in knowledge representation, (2) neural network and their application in machine learning and adaptive tuning, (3) genetic algorithm and their application in random searching and optimization, and (4) uncertainty management through Bayesian reasoning. The paper will also cover the neuron-fuzzy architectures and evolutionary computing. Applications and case studies within the area of industrial processes and control will also be included.
Resources
No Resource is available.
Qualifications
The course is available as part of the following qualifications.
Expand to see requisite details. Points
  AK1325   Master of Engineering   (ME)
180.00
  AK3566   Postgraduate Diploma in Engineering   (PgDipEng)
120.00
  AK1296   Postgraduate Certificate in Engineering   (PgCertEng)
60.00
Timetable
No timetable information is available.
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Auckland University of Technology