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 Statistical Modeling Course code DS1S4MOS
Course type obligatory
Forms and number of hours of tuition L C LC P SW FW S Semester 4
15 30 No. of ECTS credits 4
Program valid from 2025/2026
Entry requirements Probability Theory (DS1S2RPR),   Mathematical Statistics (DS1S3SMA),  
Course objectives
Framework content
Other information about the course the course is related to the scientific research conducted at the University
Calculation: Student workload (in hours): Total
hours
Including
contact hours
Including
practical hours
15 15
30 30 30
4 4
5
46 46
Cumulative hours: 100 49 76
Cumulative number of ECTS credits: 4 2.0 3.0
Expected program-specific learning outcomes Knowledge Skills Social
competences
DS1_W01 DS1_U01
DS1_U03
DS1_U19
Objectives and framework content formulated by dr inż. Magdalena Topczewska Date: 29/05/2025
Implemented in the academic year 2026/2027
 
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
E2
Skills: the student can
E3
E4
Symbol of
learning outcome
Method of learning outcome verification Form of classes where verification takes place
E1 -
E2 -
E3 -
E4 -
Basic references
1.
. -
Supplementary references
1.
. -
Course coordinator: dr inż. Magdalena Topczewska Date: 30/05/2025