Course Syllabus

Bialystok University of Technology Faculty of Computer Science
Field of study Data Science Degree level and
programme type
Engineer's degree
full-time programme
Specialization/
diploma path
Study profile academic
Course name no English name yet ! Course code -
Course type obligatory
Forms and number of hours of tuition L C LC P SW FW S Semester 7
30 No. of ECTS credits 2
Program valid from 2025/2026
Entry requirements
Course objectives
Framework content
Other information about the course -
Calculation: Student workload (in hours): Total
hours
Including
contact hours
Including
practical hours
30 30 30
4 4 4
16 16
Cumulative hours: 50 34 50
Cumulative number of ECTS credits: 2 1.4 2.0
Expected program-specific learning outcomes Knowledge Skills Social
competences
DS1_W13 (H1_W03) DS1_U12 (H1_U02) DS1_K04 (H1_K03)
DS1_U13(H1_U01)
Objectives and framework content formulated by - Date: 29/05/2025
Implemented in the academic year 2028/2029
 
Course objectives
1.
. -
Teaching methods
(stationary)
-
-
Teaching methods
(remote)
-
-
Assessment methods
-
-
Assessment conditions
-
-
Symbol of
learning outcome
Intended learning outcomes Type of tuition during which the outcome is assessed
Knowledge Skills Social
competences
Knowledge: the student knows and understands
E1
Skills: the student can
E2
Social competences: the student is ready to
E3
Symbol of
learning outcome
Method of learning outcome verification Form of classes where verification takes place
E1 -
E2 -
E3 -
Basic references
1.
. -
Supplementary references
1.
. -
Course coordinator: - Date: 30/05/2025