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Data Mining and Visualization (Fall 2010) |
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| Course code : | XDAT-U1 | ||
| ECTS Credits : | 5 | Status : | Optional |
| Placement : | 6. semester | Hours per week : | 4 |
| Length : | 1 semester | Teaching Language : | |
| Principal Content : | Data mining for exploratory analysis (PCA), classification (PLS-DA and SIMCA) and multivariate calibration (PLS) which are thoroughly described and applied. Methods for outlier detection, data pre-processing, and model validation are central parts of the course. Computer exercises and the projects will be performed applying user-friendly software. A thorough introduction to the software will be given. | ||
| Teaching method : | Lectures (33%), group exercises (33%), and group reports (34%). | ||
| Required prequisites : | None. | ||
| Responsible teacher : | Knud Holm Hansen
, Knud.Holm.Hansen@fysik.dtu.dk |
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