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Graduate Course in Principal Component Analysis (PCA)
Principal component analysis (PCA) is a powerful tool in, for example, experimental sciences, where the goal is to evaluate the effect of a set of (many) variables. PCA often provides a tool to descibe experimental variation in significantly fewer variables than the original physical problem.
- Time period: Postponed until further notice. Total of 4+1 points (see more information below).
- Examiner: Johan Carlson (Johan.Carlson@csee.ltu.se).
- Lecturers: Participants.
- Examination: Seminar and assignments (see below).
- Course book: I. T. Joliffe, Principal Component Analysis, 2nd ed., Springer-Verlag, New York, 2002. ISBN: 0-387-95442-2
Note: You will have to order the book yourself. Look at for example http://www.bokfynd.nu
Important:You will need the book immediately at course start!
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Ch. 1 & 2 |
Johan C. |
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Ch. 3 |
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Ch. 4 |
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Ch. 5 |
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Ch. 6 |
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Ch. 7 |
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Ch. 8 |
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Ch. 9 |
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Ch. 10 |
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Ch. 11 |
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Ch. 12 |
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Ch. 13 |
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Ch. 14 |
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Article presentations |
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Article presentations |
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Article presentations |
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To pass the course and gain 4 points, the following requirements must be fulfilled:
- Active participation in classes. This means presenting at least one chapter, and contributing to discussions on other chapters.
- Article studies and seminar. A list of topics will be presented at course start. The assignment consists in reading and presenting the contents of one (or possibly a collection of a few) scientific papers in the field. The paper should be read as a "reviewer" would, that is, critically examine every aspect of the proposed theory.
To receive one extra point, the student must present a plan of how to use the presented methods in his/her own research. Written report with detailed plans, also summarizing the theory of the methods to be used.
Senast ändrad: 2004-10-14, av Johan Carlson
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