| Course title | Multidimensional data analysis |
|---|---|
| Course code | PCH/SAVD |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | 2 |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
|
| Course content |
|
unspecified
|
| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
|
unspecified
|
| Assessment methods and criteria |
|
unspecified
|
| Recommended literature |
|
| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Arts | Study plan (Version): Data Analyst in Social Sciences (2023) | Category: Social sciences | 2 | Recommended year of study:2, Recommended semester: Summer |