M9901 Shape analysis

Faculty of Science
Spring 2014
Extent and Intensity
2/2. 4 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
Teacher(s)
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
Timetable
Thu 8:00–9:50 M4,01024
  • Timetable of Seminar Groups:
M9901/01: Thu 10:00–11:50 MP2,01014a
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.
Syllabus
  • 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
Literature
  • CASELLA, George and Roger L. BERGER. Statistical inference. 2nd ed. Pacific Grove, Calif.: Duxbury, 2002. xxviii, 66. ISBN 0534243126. info
  • 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, class excercise, homework
Assessment methods
homework, oral exam
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2011, Spring 2015, Autumn 2015, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.
  • Enrolment Statistics (Spring 2014, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2014/M9901