Course: Statistics Essentials

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Course title Statistics Essentials
Course code UMB/737E
Organizational form of instruction Lesson
Level of course Bachelor
Year of study not specified
Frequency of the course In each academic year, in the summer semester.
Semester Summer
Number of ECTS credits 3
Language of instruction English
Status of course Compulsory
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Dostálková Iva, doc. RNDr. Ph.D.
Course content
Content of lectures: 1. Combinatorics 2. Discretete probability, 3. Axiomatic definition of probability, conditional probabilty. 4. Bayes Theorem, random variable. 5. Charakteristics of random variables. 6. Basis statistics. 7. chi^2 test 8. contingency tables 9. t-tests 10. ANOVA 11. nonparametric tests 12. linear regression 13. nonparametric regression

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Work with text (with textbook, with book)
  • Preparation for classes - 28 hours per semester
  • Preparation for credit - 28 hours per semester
  • Preparation for exam - 28 hours per semester
  • Class attendance - 28 hours per semester
Learning outcomes
Students master basic principles of probability and statistics.
Probability theory. The basic statistical methods
Prerequisites
basic mathematics

Assessment methods and criteria
Written examination

To complete the course it is necessary to pass the credit and pass the exam. To gain credit, sufficient attendance at the exercises and sufficient average success rate (50%) in short practice tests. Credit is a prerequisite for the exam test. The exam is written and is successful in reaching 50% of the test.
Recommended literature
  • http://cast.massey.ac.nz/collection_public.html.
  • Sokal, R.R., Rohlf, F.J. : Biometry. 3rd ed., San Francisco, Freeman and Comp., 1995.
  • Zar, J.H.: Biostatistical analysis. 2nd ed., Engelwood Cliffs Prentice - Hall,1984.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Bioinformatics (1) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer