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 Engineering Thesis Course code DS1S7PDI
Course type obligatory
Forms and number of hours of tuition L C LC P SW FW S Semester 7
No. of ECTS credits 15
Program valid from 2025/2026
Entry requirements
Course objectives
Framework content
Other information about the course the course content refers to the principles of sustainable development
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
25 25 25
350 350
Cumulative hours: 375 25 375
Cumulative number of ECTS credits: 15 1.0 15.0
Expected program-specific learning outcomes Knowledge Skills Social
competences
DS1_W14 (H1_W02) DS1_U01 DS1_K02 (H1_K02)
DS1_W02 DS1_U02 DS1_K01
DS1_W03 DS1_U04
DS1_W09 DS1_U08
DS1_W10 DS1_U09
DS1_W12 DS1_U11
DS1_W19 DS1_U15
DS1_U18
DS1_U20
Objectives and framework content formulated by dr Dariusz Kacprzak 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
E2
Skills: the student can
E3
E4
E5
Social competences: the student is ready to
E6
E7
Symbol of
learning outcome		 Method of learning outcome verification Form of classes where verification takes place
E1 -
E2 -
E3 -
E4 -
E5 -
E6 -
E7 -
Basic references
1.
. -
Supplementary references
1.
. -
Course coordinator: dr inż. Andrzej Chmielewski Date: 30/05/2025
wydrukowane w programie Świerk , © Świerk V2
© Świerk V2