Knowledge (outcomes)

Knowledge
1. Explain open areas of research in Knowledge Management and Knowledge and Data Engineering..
   • I think we covered this in most lectures.
   • We talked about visualization, ontologies, learning organisations and so forth.
   • We talked about machine learning algorithms, knowledge representation, and AI applications.
   • I think we could have done better here, but we did reasonably well
   • This is a large component of the course work
2. Explain research methodologies and the problems to which they are applied.
   • Particuarly toward the end, we have done this.
   • We've talked about a range of qualitative methodologies and their strengths and weakneses.
   • We've talked about many examples of quantitative methodologies.
   • We've also talked about particular evaluation techniques applied to AI such as N-Fold testing.
   • I think we've done a really good job here.
3. Critically evaluate research that is presented.
   • We've spent a lot of time talking about the quality of research.
   • Examples have been discussed that have ranged from very poor to great.
   • We've also looked at our own research.
   • I think we did pretty good here.
4. What do you think?