Course · ANL6301
Introduction to data science
Course information
- Course code
- ANL6301
- Credits (ECTS)
- 6
- L + S + Lab
- 15 + 15 + 30
- Year / semester
- Year 4 / semester 7
- Level of course
- Bachelor's degree
- Component
- University component (UC)
- Cycle
- BD
- Final assessment
- Examination
- Educational programme
- 6B06110 Software Engineering
- Curriculum
- Программная инженерия (2023-2027)
Course description
A basic understanding of machine learning and statistics. Studying data science methodology, open source tools for data science, the basics of mathematical statistics needed for machine learning. Constructing and testing hypotheses. The use of simple predictive models.
Student workload
| Type of work | Hours per week | Weeks | Total hours per semester |
|---|---|---|---|
| Lectures (L) | 1 | 15 | 15 |
| Seminars and practical classes (S) | 1 | 15 | 15 |
| Laboratory work (Lab) | 2 | 15 | 30 |
| Independent work under instructor supervision | 1 | 15 | 15 |
| Independent student work | 7 | 15 | 105 |
| Total | 180 |
1 credit = 30 academic hours; a semester lasts 15 weeks.
Source: Platonus, working curriculum for the 2026–2027 academic year.
← Programme curriculum