SylabUZ

Data Engineering
First-cycle studies leading to Engineer's degree
Beginning semester: winter term (2018/2019)


Semester 1
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe ogólne
Physical Education 1 Class (30/-) 0 No No
Przedmioty obowiązkowe podstawowe
Fundamentals of Logic and Quantitative Analysis Lecture (30/-), Class (30/-) 6 Yes No
Fundamentals of Programming Lecture (30/-), Laboratory (30/-) 5 Yes No
Linear Algebra Lecture (30/-), Class (30/-) 6 Yes No
Mathematical Analysis 1 Lecture (45/-), Class (45/-) 7 Yes No
Mathematical Software 1 Laboratory (30/-) 3 No No
Methods for Data Description with R Laboratory (30/-) 3 No No
Semester 2
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe ogólne
English 1 Laboratory (30/-) 2 No No
Physical Education 2 Class (30/-) 0 No No
Przedmioty obowiązkowe podstawowe
Algorithms and Data Structures 1 Lecture (30/-), Laboratory (30/-) 5 Yes No
General Purpose Software Laboratory (30/-) 2 No No
Introduction to Graph Theory Lecture (30/-), Class (30/-) 6 Yes No
Linear Algebra and Analytic Geometry Lecture (30/-), Class (30/-) 6 Yes No
Mathematical Analysis 2 Lecture (45/-), Class (45/-) 7 Yes No
Mathematical Software 2 Laboratory (30/-) 3 No No
Semester 3
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe ogólne
English 2 Laboratory (30/-) 2 No No
Przedmioty obowiązkowe podstawowe
Algorithms and Data Structures 2 Project (30/-) 2 No No
Database Systems 1 Lecture (30/-), Laboratory (30/-), Class (15/-) 6 Yes No
Introduction to Probability Theory Lecture (30/-), Laboratory (15/-), Class (30/-) 6 Yes No
Numerical Methods in Python Lecture (30/-), Laboratory (30/-) 6 Yes No
Object-oriented Programming 1 Lecture (30/-), Laboratory (30/-) 6 Yes No
Przedmioty humanistyczne
Introductory Course to Thesis Writing and Editing Class (30/-) 3 No Yes
Polish Language in Practice Class (30/-) 3 No Yes
Semester 4
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe ogólne
English 3 Laboratory (30/-) 2 No No
Przedmioty obowiązkowe podstawowe
Database Systems 2 Project (30/-) 2 No No
Object-oriented Programming 2 Project (30/-) 2 No No
Opimization Methods Lecture (30/-), Laboratory (30/-), Class (30/-) 7 Yes No
Statistical Data Analysis Lecture (30/-), Laboratory (30/-) 5 Yes No
Przedmioty oferowane
Computational Methods in Engineering Lecture (30/-), Project (30/-) 6 Yes Yes
Engineering of Information Systems Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Graph Algorithms Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Mathematical Finance Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Semester 5
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe ogólne
English 4 Laboratory (30/-) 2 Yes No
Przedmioty obowiązkowe podstawowe
Differential Equations with Applications Lecture (30/-), Laboratory (30/-), Class (15/-) 6 Yes No
Fundamentals of Management and Entrepreneurship Lecture (30/-), Class (30/-) 5 Yes No
Information Systems Security and Data Protection Lecture (30/-), Laboratory (30/-), Project (15/-) 6 Yes No
Przedmioty oferowane
Databases in Internet Applications 1 Lecture (30/-), Laboratory (30/-), Class (15/-) 6 No Yes
Econometric Models Analysis Lecture (30/-), Laboratory (30/-) 5 No Yes
Fundamentals of Management and Safety Database Systems Lecture (15/-), Laboratory (30/-) 5 No Yes
Modeling Random Phenomena Lecture (30/-), Laboratory (30/-) 6 No Yes
Semester 6
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe podstawowe
Combinatorial Foundations of Computer Science Lecture (30/-), Laboratory (15/-), Class (30/-) 6 Yes No
Praca dyplomowa
Engineering Diploma Project 1 Seminar (30/-) 3 No No
Przedmioty oferowane
Creating Analytical Tools in R Project (30/-) 3 No Yes
Databases in Internet Applications 2 Project (30/-) 3 No Yes
Elastic Production Systems Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Engineering Modeling Lecture (30/-), Project (30/-) 6 Yes Yes
Operations Research Lecture (30/-), Laboratory (30/-) 6 Yes Yes
WEB Application Programming Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Semester 7
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Praca dyplomowa
Engineering Diploma Project 2 Seminar (60/-) 13 No No
Przedmioty techniczne
Basics of Machine Learning Lecture (30/-), Laboratory (30/-) 5 No Yes
Data Exploration Methods Lecture (30/-), Laboratory (30/-) 5 No Yes
Przedmioty oferowane
Professional Internship Practical training (90/-) 5 No Yes