Data Engineering >
Creating big data solutions >
Intelligent data processing
Data Engineering
, first-cycle studies, Full-time studies, starting year 2021/2022
ECTS
W
C
L
P
S
Credit
Subject Card
Elements of logic and epistemology
2
-
30
-
-
-
z
Elements of logic and epistemology
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 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
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
Semester: 2 (2021/2022 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Foreign language
2
-
30
-
-
-
z/e
Foreign language
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
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
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
Semester: 3 (2022/2023 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
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
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
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
Digital Technologies for Business Communication
3
15
-
30
-
-
z
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
Semester: 4 (2022/2023 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
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
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
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
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
Semester: 5 (2023/2024 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
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
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
Subjects from Stream: Creating big data solutions
Advanced nonrelational databases
6
15
-
30
30
-
z
Advanced nonrelational databases
Download the subject card
ECTS
6
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
30 h
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: Creating big data solutions
Big Data processing frameworks
5
15
-
30
15
-
e
Big Data processing frameworks
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
Applications of geographic information systems
3
18
-
15
12
-
z
Applications of geographic information systems
Download the subject card
ECTS
3
Credit
assessment
Number of hours:
Lecture
18 h
Laboratory
15 h
Project
12 h
Diploma thesis 1
4
-
-
-
15
-
z
Diploma thesis 1
ECTS
4
Credit
assessment
Number of hours:
Project
15 h
Distributed processing
5
15
-
30
15
-
z
Distributed processing
ECTS
5
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
Computer networks - laboratories
2
-
-
15
-
-
z
Computer networks - laboratories
ECTS
2
Credit
assessment
Number of hours:
Laboratory
15 h
Semester: 7 (2024/2025 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
Subjects from Profile: Intelligent data processing
Database management systems
4
15
-
15
-
-
e
Database management systems
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
15 h
Deep neural networks for data analysis
4
15
-
-
30
-
e
Deep neural networks for data analysis
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Project
30 h
Diploma seminar
2
-
-
-
30
-
z
Diploma seminar
ECTS
2
Credit
assessment
Number of hours:
Project
30 h
Diploma thesis 2
10
-
-
-
45
-
z
Diploma thesis 2
ECTS
10
Credit
assessment
Number of hours:
Project
45 h