Course detail
Statistical Methods in Practice
FP-smpPAcad. year: 2022/2023
Introduction to modern methods of statistical processing of data and possibilities of using statistical software, for example, tasks associated with analysis of the survey.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Condition of obtaining credit is Poro development seminar work as the tutor. An excused absence of a student from seminars can be compensated for by submitting solution of alternate exercises.
Course curriculum
2) Designing a questionnaire
3) Analysis of dependence
4) Compare Files
5) Principles of clustering
6) Biologically inspired algorithms
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
ŘEZANKOVÁ, Hana. Analýza dat z dotazníkových šetření : (druhé vydání). 2. vyd. Praha : Professional Publishing, 2010. 217 s. ISBN 978-807-4310-195. (CS)
ŘEZANKOVÁ, Hana; HÚSEK, Dušan; SNÁŠEL, Václav. Shluková analýza dat. 2., rozš. vyd. Praha : Professional Publishing, 2009. 218 s. ISBN 978-808-6946-818. (CS)
Recommended reading
ŘEZANKOVÁ, Hana. Analýza dat z dotazníkových šetření : (druhé vydání). 2. vyd. Praha : Professional Publishing, 2010. 217 s. ISBN 978-807-4310-195. (CS)
ŘEZANKOVÁ, Hana; HÚSEK, Dušan; SNÁŠEL, Václav. Shluková analýza dat. 2., rozš. vyd. Praha : Professional Publishing, 2009. 218 s. ISBN 978-808-6946-818. (CS)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2) Designing a questionnaire
3) Analysis of dependence
4) Compare Files
5) Principles of clustering
6) Biologically inspired algorithms
Exercise
Teacher / Lecturer
Syllabus