Data Engineering >
Big data in business management >
Data exploration in management
Data Engineering
, first-cycle studies, Full-time studies, starting year 2021/2022
ECTS
W
C
L
P
S
Credit
Subject Card
Basics of computer programming
5
30
-
15
20
-
z
Basics of computer programming
Download the subject card
ECTS
5
Credit
assessment
Number of hours:
Lecture
30 h
Laboratory
15 h
Project
20 h
Hypertext and hypermedia
3
15
-
6
20
-
z
Hypertext and hypermedia
Download the subject card
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
6 h
Project
20 h
Elements of logic and epistemology
2
-
30
-
-
-
z
Elements of logic and epistemology
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
Semester: 2 (2021/2022 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Object programming
3
15
-
11
30
-
e
Object programming
Download the subject card
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
11 h
Project
30 h
Algorithms and data structures
5
30
-
15
15
-
e
Algorithms and data structures
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
15 h
Project
15 h
Foreign language
2
-
30
-
-
-
z/e
Foreign language
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Semester: 3 (2022/2023 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
Technical physics
5
15
15
15
-
-
e
Technical physics
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Exercises
15 h
Laboratory
15 h
Digital Technologies for Business Communication
3
15
-
30
-
-
z
Mathematical statistics
4
30
30
15
-
-
e
Mathematical statistics
Download the subject card
ECTS
4
Credit
exam
Number of hours:
Lecture
30 h
Exercises
30 h
Laboratory
15 h
Databases
4
15
-
15
15
-
e
Databases
Download the subject card
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
15 h
Project
15 h
2
-
30
-
-
-
z/e
Foreign language
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
English II
Download the subject card
File format PDF. File size approximately 50 kB
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
Semester: 4 (2022/2023 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Artificial intelligence
5
15
-
30
15
-
e
Artificial intelligence
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
Corporate finance
3
15
15
15
-
-
z
Corporate finance
Download the subject card
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Laboratory
15 h
2
-
30
-
-
-
z/e
Foreign language
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
English III
Download the subject card
File format PDF. File size approximately 50 kB
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
3
-
30
-
-
-
z/e
Socio-humanistic electives
ECTS
3
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Introduction to cognitive science
Download the subject card
File format PDF. File size approximately 50 kB
ECTS
3
Credit
assessment
Number of hours:
Exercises
30 h
Semester: 5 (2023/2024 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
Nonrelational databases
3
15
-
30
15
-
e
Nonrelational databases
Download the subject card
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
2
-
30
-
-
-
z/e
Foreign language
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
English IV
Download the subject card
File format PDF. File size approximately 50 kB
ECTS
2
Credit
exam
Number of hours:
Exercises
30 h
English II
Download the subject card
File format PDF. File size approximately 50 kB
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
Subjects from Stream: Big data in business management
Business process analysis and optimization
4
15
-
30
-
-
z
Semester: 6 (2023/2024 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Cybersecurity of Enterprise Infrastructure
3
30
-
30
-
-
e
Subjects from Stream: Big data in business management
Business Data Semantics and Representation
5
30
-
30
-
-
e
Semester: 7 (2024/2025 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card