Course title | Probability Theory and Statistics |
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Course code | KMI/PRAST |
Organizational form of instruction | Lecture + Exercise |
Level of course | Bachelor |
Year of study | not specified |
Semester | Winter |
Number of ECTS credits | 5 |
Language of instruction | Czech |
Status of course | Compulsory, Compulsory-optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
unspecified
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Learning activities and teaching methods |
Lecture, Demonstration
|
Learning outcomes |
The students become familiar with basic concepts of probability theory and statistics.
|
Prerequisites |
Basic knowledge of calculus.
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Assessment methods and criteria |
Oral exam, Written exam
Active participation in the class. Completion of assigned homeworks. Passing the final exam. |
Recommended literature |
|
Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
---|---|---|---|---|
Faculty: Faculty of Science | Study plan (Version): Computer Science - Specialization in General Computer Science (2021) | Category: Informatics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
Faculty: Faculty of Science | Study plan (Version): Computer Science (2020) | Category: Informatics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
Faculty: Faculty of Science | Study plan (Version): Bioinformatics (2021) | Category: Informatics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
Faculty: Faculty of Science | Study plan (Version): Computer Science - Specialization in Programming and Software Development (2021) | Category: Informatics courses | 3 | Recommended year of study:3, Recommended semester: Winter |