Data Engineering > Big data in business management > Intelligent data processing
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Data Engineering

, first-cycle studies, Full-time studies, starting year 2022/2023

Semester: 1  (2022/2023 - winter)

ECTS W C L P S Credit
Subject Card
Business law
2 15 15 - - - z
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card
Elements of logic and epistemology
2 - 30 - - - z
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
Download the subject card
Hypertext and hypermedia
3 15 - 6 20 - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
6 h
Project
20 h
Download the subject card
Linear algebra
3 15 15 - - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card
Calculus
5 15 30 - - - e
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Exercises
30 h
Download the subject card
Economics and organization of enterprises
2 15 15 - - - z
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card
Operating systems
3 15 - 15 - - e
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
15 h
Download the subject card
Basics of computer programming
5 30 - 15 20 - z
ECTS
5
Credit
assessment
Number of hours:
Lecture
30 h
Laboratory
15 h
Project
20 h
Download the subject card
Precalculus
3 15 15 - - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card

Semester: 2  (2022/2023 - summer)

ECTS W C L P S Credit
Subject Card
Foreign language
2 - 30 - - - z/e
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Algorithms and data structures
5 30 - 15 15 - e
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
15 h
Project
15 h
Download the subject card
Basics of physics
4 30 15 - - - z
ECTS
4
Credit
assessment
Number of hours:
Lecture
30 h
Exercises
15 h
Download the subject card
Essentials of micro- and macroeconomics
5 30 45 - - - e
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Exercises
45 h
Download the subject card
Descriptive statistics
3 15 - 15 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
15 h
Download the subject card
Numerical methods
2 15 - 15 - - z
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
15 h
Download the subject card
Communication and negotiations
2 - 30 - - - z
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
Download the subject card
Elements of discrete mathematics
2 15 15 - - - z
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card
Essentials of management
3 15 30 - - - e
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Exercises
30 h
Download the subject card
Object programming
3 15 - 11 30 - e
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
11 h
Project
30 h
Download the subject card

Semester: 3  (2023/2024 - winter)

ECTS W C L P S Credit
Subject Card
2 - 30 - - - z/e
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Software engineering
3 15 - 30 - - e
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Essentials of accounting
3 15 30 - - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
30 h
Download the subject card
Programming languages
2 15 - 15 - - z
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
15 h
Download the subject card
Digital Technologies for Business Communication
3 15 - 30 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Knowledge management
3 15 15 - - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card
Databases
4 15 - 15 15 - e
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
15 h
Project
15 h
Download the subject card
Sport
0 - 30 - - - z
ECTS
0
Credit
assessment
Number of hours:
Exercises
30 h
Download the subject card
Mathematical statistics
4 30 30 15 - - e
ECTS
4
Credit
exam
Number of hours:
Lecture
30 h
Exercises
30 h
Laboratory
15 h
Download the subject card
Technical physics
5 15 15 15 - - e
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Exercises
15 h
Laboratory
15 h
Download the subject card
Marketing
2 15 15 - - - z
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Download the subject card

Semester: 4  (2023/2024 - summer)

ECTS W C L P S Credit
Subject Card
3 - 30 - - - z/e
3 - 30 - - - z
3 - 30 - - - z
ECTS
3
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
ECTS
3
Credit
assessment
Number of hours:
Exercises
30 h
2 - 30 - - - z/e
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Data mining
3 15 - 15 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
15 h
Business process modelling
3 15 - 30 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Corporate finance
3 15 15 15 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Laboratory
15 h
Download the subject card
Data warehouses
4 15 - 30 - - e
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Marketing research
3 15 - 30 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Artificial intelligence
5 15 - 30 15 - e
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
Download the subject card
Human-computer interaction
4 30 - 30 - - z
ECTS
4
Credit
assessment
Number of hours:
Lecture
30 h
Laboratory
30 h
Download the subject card
Sport
0 - 30 - - - z
ECTS
0
Credit
assessment
Number of hours:
Exercises
30 h
Download the subject card

Semester: 5  (2024/2025 - winter)

ECTS W C L P S Credit
Subject Card
2 - 30 - - - z/e
2 - 30 - - - z
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
ECTS
2
Credit
assessment
Number of hours:
Exercises
30 h
Visualization of economic data
3 15 - 30 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Nonrelational databases
3 15 - 30 15 - e
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
Download the subject card

Subjects from Stream: Big data in business management

Business process analysis and optimization
4 15 - 30 - - z
ECTS
4
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Business Data Analytics
4 15 - 30 - - z
ECTS
4
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Download the subject card
Informatization strategies
3 15 - 15 - - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
15 h
Decision analysis
6 30 - 30 - - e
ECTS
6
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
Enterprise Information Systems
5 15 - 30 - - z
ECTS
5
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h

Semester: 6  (2024/2025 - summer)

ECTS W C L P S Credit
Subject Card
Data quality assurance
3 15 - - 15 - z
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Project
15 h
Cybersecurity of Enterprise Infrastructure
3 30 - 30 - - e
ECTS
3
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h

Subjects from Stream: Big data in business management

IT Project Management
5 15 - 30 - - z
ECTS
5
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Diploma thesis 1
4 - - - 15 - z
ECTS
4
Credit
assessment
Number of hours:
Project
15 h
Digital Business
5 30 - 30 - - z
ECTS
5
Credit
assessment
Number of hours:
Lecture
30 h
Laboratory
30 h
Business Data Semantics and Representation
5 30 - 30 - - e
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
E-marketing and trend analysis
5 30 - 30 - - e
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
Download the subject card

Semester: 7  (2025/2026 - winter)

ECTS W C L P S Credit
Subject Card
Intellectual property protection
2 - 15 - - - z
ECTS
2
Credit
assessment
Number of hours:
Exercises
15 h

Subjects from Profile: Intelligent data processing

Deep neural networks for data analysis
4 15 - - 30 - e
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Project
30 h
Big Data analysis
4 - - 30 - - z
ECTS
4
Credit
assessment
Number of hours:
Laboratory
30 h
Download the subject card
Advanced data mining
4 - - 30 - - z
ECTS
4
Credit
assessment
Number of hours:
Laboratory
30 h
Download the subject card
Diploma seminar
2 - - - 30 - z
ECTS
2
Credit
assessment
Number of hours:
Project
30 h
Internship
2 - - - - - z
ECTS
2
Credit
assessment
Number of hours:
Download the subject card
Diploma thesis 2
10 - - - 45 - z
ECTS
10
Credit
assessment
Number of hours:
Project
45 h
Database management systems
4 15 - 15 - - e
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
15 h
Download the subject card
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