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 Probability Theory Course code DS1S2RPR
Course type obligatory
Forms and number of hours of tuition L C LC P SW FW S Semester 2
15 15 No. of ECTS credits 3
Program valid from 2025/2026
Entry requirements Linear Algebra 1 (DS1S1AL1),   Calculus 1 (DS1S1AM1),  
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
15 15 15
4 4
10
31 31
Cumulative hours: 75 34 46
Cumulative number of ECTS credits: 3 1.4 1.8
Expected program-specific learning outcomes Knowledge Skills Social
competences
DS1_W01 DS1_U12 (H1_U02) DS1_K01
DS1_U01
DS1_U03
DS1_U19
Objectives and framework content formulated by dr hab. Dorota Mozyrska Date: 29/05/2025
Implemented in the academic year 2025/2026
 
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
E3
Skills: the student can
E4
E5
E6
E7
Social competences: the student is ready to
E8
Symbol of
learning outcome
Method of learning outcome verification Form of classes where verification takes place
E1 -
E2 -
E3 -
E4 -
E5 -
E6 -
E7 -
E8 -
Basic references
1.
. -
Supplementary references
1.
. -
Course coordinator: dr hab. Dorota Mozyrska, dr hab. Małgorzata Wyrwas Date: 30/05/2025