Wierk - Wydział Informatyki, Elektroniczne Ramy Kwalifikacji

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		Natural Language Processing						E	Course code				DS1S6NLP
Course name		Natural Language Processing						E	Course type				obligatory
Forms and number of hours of tuition		L	C	LC	P	SW	FW	S	Semester				6
Forms and number of hours of tuition		30				30			No. of ECTS credits				5
Program valid from											2025/2026
Entry requirements		Deep Learning (DS1S5UGL), no English name yet ! (DS1S4UM2),
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
													30	30
													30	30	30
													4	4
													10
													51		51
										Cumulative hours:			125	64	81
										Cumulative number of ECTS credits:			5	2.6	3.2
Expected program-specific learning outcomes													Knowledge	Skills	Social competences
													DS1_W18 (H1_W01)	DS1_U02	DS1_K01
													DS1_W02	DS1_U05
													DS1_W09	DS1_U08
													DS1_W16	DS1_U10
														DS1_U11
														DS1_U21
Objectives and framework content formulated by			dr inż. Jerzy Krawczuk										Date:		29/05/2025
Implemented in the academic year								2027/2028
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
Symbol of learning outcome		Intended learning outcomes											Knowledge	Skills	Social competences
	Knowledge: the student knows and understands
E1													DS1_W02 DS1_W18 (H1_W01)
E2													DS1_W09 DS1_W16
	Skills: the student can
E3														DS1_U02 DS1_U08 DS1_U10 DS1_U11
E4														DS1_U05 DS1_U10 DS1_U21
	Social competences: the student is ready to
E5															DS1_K01
Symbol of learning outcome		Method of learning outcome verification										Form of classes where verification takes place
E1												-
E2												-
E3												-
E4												-
E5												-
Basic references
		1.
		.	-
Supplementary references
		1.
		.	-
Course coordinator:		dr inż. Jerzy Krawczuk, dr inż. Tomasz Łukaszuk											Date:		30/05/2025