PřF:M9901 Shape analysis - Course Information
M9901 Shape analysisFaculty of Science
- Extent and Intensity
- 2/2. 4 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- doc. PaedDr. RNDr. Stanislav Katina, Ph.D. (lecturer)
- Guaranteed by
- doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics - Departments - Faculty of Science
Contact Person: doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Supplier department: Department of Mathematics and Statistics - Departments - Faculty of Science
- Wed 8:00–9:50 M3,01023
- Timetable of Seminar Groups:
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Course objectives
- The main goal of the course is to become familiar with some basic principles of traditional and geometric morphometrics (shape analysis), with the (semi)automatic identification of anatomical landmarks, curves, and surfaces on the biological objects, with the multivariate statistical methods for EEG, ECG, and morphometric data (multivariate SVD models, multivariate splines, multivariate regression, functional and Fourier models), and with 2D/3D statistical visualisation.
- geometric transformations in 2D and 3D,
- multivariate splines, functional and Fourier models,
- (semi)automatic identification of anatomical landmarks, curves, and surfaces,
- testing of multivariate statistical hypotheses,
- multivariate statistical methods for EEG, ECG, and morphometric data,
- 2D/3D statistical graphics
- recommended literature
- CASELLA, George and Roger L. BERGER. Statistical inference. 2nd ed. Pacific Grove, Calif.: Duxbury, 2002. xxviii, 66. ISBN 0534243126. info
- not specified
- JOHNSON, Richard A. and Dean W. WICHERN. Applied multivariate statistical analysis. 3rd ed. Englewood Cliffs: Prentice-Hall, 1992. xiv, 642 s. ISBN 0-13-041807-2. info
- Teaching methods
- lecture, practicals, homework
- Assessment methods
- homework, oral exam
- Language of instruction
- Further Comments
- Study Materials
The course is taught annually.