MV013 Statistics for Computer Science

Faculty of Informatics
Autumn 2016
Extent and Intensity
2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. PaedDr. RNDr. Stanislav Katina, Ph.D. (lecturer)
Mgr. Mojmír Vinkler (seminar tutor)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Faculty of Informatics
Supplier department: Faculty of Science
Timetable
Mon 8:00–9:50 A319
  • Timetable of Seminar Groups:
MV013/T01: Tue 20. 9. to Thu 22. 12. Tue 8:00–9:35 110, M. Vinkler, Nepřihlašuje se. Určeno pro studenty se zdravotním postižením.
MV013/01: Mon 10:00–11:50 B117, M. Vinkler
MV013/02: Mon 12:00–13:50 B117, M. Vinkler
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
there are 22 fields of study the course is directly associated with, display
Syllabus
  • Why computer scientists should study statistics?
  • Computer science related problems with analysed data
  • Why the thought study based on data is useful?
  • Data types
  • Sampling
  • Parametric probabilistic and statistical models
  • Likelihood principle and parameter estimation using numerical methods
  • Descriptive statistics (tables, listings, figures)
  • From description to statistical inference
  • Hypothesis testing and parameters of a model
  • Goodness-of-fit tests
  • Testing hypotheses about one-sample
  • Testing hypotheses about two-samples
  • Testing hypotheses about more than to sample problems
  • Interpretation of statistical findings
Literature
  • CASELLA, George and Roger L. BERGER. Statistical inference. 2nd ed. Pacific Grove, Calif.: Duxbury, 2002, xxviii, 66. ISBN 0534243126. info
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2015, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2016, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2016/MV013