M9901 Shape analysis

Faculty of Science
Spring 2015
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
Wed 8:00–9:50 M3,01023
  • Timetable of Seminar Groups:
M9901/01: Wed 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
Abstract
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.
Key topics
  • 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
Study resources and literature
    recommended literature
  • CASELLA, George and Roger L. BERGER. Statistical inference. 2nd ed. Pacific Grove, Calif.: Duxbury, 2002, xxviii, 66. ISBN 8131503941. 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
Approaches, practices, and methods used in teaching
lecture, practicals, homework
Method of verifying learning outcomes and course completion requirements
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 2014, Autumn 2015, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024, Autumn 2025.
  • Enrolment Statistics (Spring 2015, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2015/M9901