The future for computational intelligence education

A case study of postgraduate courses at de Montfort University

Robert John, Jenny Carter

Research output: Contribution to journalReview article

Abstract

Computational Intelligence (CI) course taught at postgraduate level at De Montfort University (DMU) is discussed. The MSc Intelligent Systems (IS) and MSc IS and Robotics (ISR) programs are delivered on-site and distance learning at the Masters level. The two courses share seven out of eight modules, the eighth being a second robotics module for the MSc ISR and a data mining module for the MSc IS. The assessments allow the students to investigate appropriate topics in their own way. The discussion board helps to create a virtual learning environment which is identified as being important for students engaging in e-learning. One of the modules being taught is Fuzzy Logic. It is taught over a ten-week period and the students on campus have two hours of lectures and one hour of laboratory work using Matlab. The remainder of the assessment is through two assignments, a Matlab fuzzy system to be written in a particular domain and a report tackling questions about the more advanced topics of Preference Modeling and Type-2 Fuzzy Logic.

Original languageEnglish
Article number5508721
Pages (from-to)50-51
Number of pages2
JournalIEEE Computational Intelligence Magazine
Volume5
Issue number3
DOIs
Publication statusPublished - 1 Aug 2010
Externally publishedYes

Fingerprint

Computational Intelligence
Intelligent systems
Artificial intelligence
Robotics
Intelligent Systems
Education
Students
Module
Fuzzy logic
Fuzzy Logic
MATLAB
Distance education
Virtual Learning Environment
Fuzzy systems
Preference Modelling
Distance Learning
Data mining
Electronic Learning
Remainder
Fuzzy Systems

Cite this

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abstract = "Computational Intelligence (CI) course taught at postgraduate level at De Montfort University (DMU) is discussed. The MSc Intelligent Systems (IS) and MSc IS and Robotics (ISR) programs are delivered on-site and distance learning at the Masters level. The two courses share seven out of eight modules, the eighth being a second robotics module for the MSc ISR and a data mining module for the MSc IS. The assessments allow the students to investigate appropriate topics in their own way. The discussion board helps to create a virtual learning environment which is identified as being important for students engaging in e-learning. One of the modules being taught is Fuzzy Logic. It is taught over a ten-week period and the students on campus have two hours of lectures and one hour of laboratory work using Matlab. The remainder of the assessment is through two assignments, a Matlab fuzzy system to be written in a particular domain and a report tackling questions about the more advanced topics of Preference Modeling and Type-2 Fuzzy Logic.",
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The future for computational intelligence education : A case study of postgraduate courses at de Montfort University. / John, Robert; Carter, Jenny.

In: IEEE Computational Intelligence Magazine, Vol. 5, No. 3, 5508721, 01.08.2010, p. 50-51.

Research output: Contribution to journalReview article

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