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SylabUZ

  1. SylabUZ
  2. Faculty of Mathematics, Computer Science and Econometrics
  3. winter term 2022/2023
  4. computer science and econometrics - Second-cycle studies leading to MS degree

computer science and econometrics
Second-cycle studies leading to MS degree
Beginning semester: winter term (2022/2023)


Semester 1
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Dynamic and Financial Econometrics Lecture (30/-), Laboratory (30/-) 7 Yes No
Multivariate Analysis Lecture (30/-), Class (30/-) 7 Yes No
Software Engineering Lecture (15/-), Laboratory (30/-) 7 Yes No
Przedmioty obowiązkowe ogólne
English 1 Laboratory (30/-) 2 No No
Przedmioty obowiązkowe podstawowe
Forecasting and Simulation Lecture (15/-), Laboratory (30/-) 7 Yes No
Semester 2
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Actuarial Methods Lecture (30/-), Class (30/-) 5 Yes No
Diploma Seminar 1 Seminar (30/-) 3 No No
Mathematical Economics Lecture (30/-), Class (30/-) 5 Yes No
Przedmioty obowiązkowe ogólne
English 2 Laboratory (30/-) 2 Yes No
Przedmioty humanistyczne
Practical Stylistics Class (30/-) 3 No Yes
Przedmioty społeczne
Pedagogy 2 Class (30/-) 2 No Yes
Psychology 2 Class (30/-) 2 No Yes
Przedmioty oferowane
Data Warehouse

Available in specialities: Information systems

Lecture (15/-), Laboratory (30/-) 5 No Yes
Decision Analysis and Decision Theory

Available in specialities: Business analytics, Statistics and econometrics

Lecture (30/-), Project (15/-), Class (15/-) 7 Yes Yes
Financial Market Analysis Lecture (15/-), Class (30/-) 4 No Yes
Internet Technologies in Management Lecture (15/-), Project (30/-) 4 No Yes
LaTeX Laboratory (30/-) 2 No Yes
Machine Learning

Available in specialities: Business analytics

Lecture (15/-), Laboratory (30/-) 5 No Yes
Software Modeling in Economic Systems Lecture (15/-), Project (30/-) 4 No Yes
Specialist Seminar 1

Available in specialities: Business analytics, Information systems , Statistics and econometrics

Seminar (30/-) 2 No Yes
Topics in Discrete Mathematics

Available in specialities: Information systems

Lecture (30/-), Class (30/-) 7 Yes Yes
Web Applications and PHP Applications Lecture (30/-), Laboratory (30/-) 4 No Yes
Semester 3
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Diploma Seminar 2 Seminar (60/-) 6 No No
Management Information Systems Lecture (30/-), Project (30/-) 5 Yes No
Statystical Analysis in Market Research Lecture (15/-), Laboratory (30/-) 4 No No
Przedmioty humanistyczne
English for Specific Purposes Class (30/-) 3 No Yes
Przedmioty oferowane
Advanced Programming Techniques for Enterprise Distributed Systems Lecture (15/-), Laboratory (15/-), Project (15/-) 4 No Yes
Algorithmical Methods

Available in specialities: Information systems

Lecture (15/-), Laboratory (30/-) 6 Yes Yes
Computer Image Processing Lecture (15/-), Project (30/-) 4 No Yes
Econometrics

Available in specialities: Statistics and econometrics

Lecture (30/-), Laboratory (30/-), Class (30/-) 10 Yes Yes
ERP Class Systems

Available in specialities: Business analytics

Lecture (15/-), Project (30/-) 6 Yes Yes
Investment Market Lecture (15/-), Project (30/-) 4 No Yes
Multimedia in Business

Available in specialities: Business analytics

Lecture (30/-), Project (15/-) 5 Yes Yes
Software Engineering 2

Available in specialities: Information systems

Lecture (15/-), Project (30/-) 5 Yes Yes
Specialist Seminar 2

Available in specialities: Business analytics, Information systems , Statistics and econometrics

Seminar (30/-) 2 No Yes
Technological Foundations of E-Economy Lecture (15/-), Project (30/-) 4 No Yes
Tools and component technologies in the designing systems of e-business Lecture (15/-), Project (30/-) 4 No Yes
Semester 4
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Computer Networks Lecture (30/-), Laboratory (30/-) 5 Yes No
Diploma Seminar 3 Seminar (60/-) 9 No No
Representative Methods Lecture (30/-), Laboratory (15/-) 4 No No
Przedmioty humanistyczne
English for Specific Purposes Class (30/-) 3 No Yes
Practical Stylistics Class (30/-) 3 No Yes
Przedmioty społeczne
Pedagogy 2 Class (30/-) 2 No Yes
Psychology 2 Class (30/-) 2 No Yes
Przedmioty oferowane
Data Warehouse Lecture (15/-), Laboratory (30/-) 5 No Yes
Decision Analysis and Decision Theory Lecture (30/-), Project (15/-), Class (15/-) 7 Yes Yes
Experimental Design

Available in specialities: Statistics and econometrics

Lecture (30/-), Laboratory (15/-) 6 Yes Yes
Financial Market Analysis Lecture (15/-), Class (30/-) 4 No Yes
Internet Technologies in Management Lecture (15/-), Project (30/-) 4 No Yes
Machine Learning Lecture (15/-), Laboratory (30/-) 5 No Yes
Quantum Computing Lecture (30/-), Laboratory (30/-) 5 No Yes
Software Modeling in Economic Systems Lecture (15/-), Project (30/-) 4 No Yes
Specialist Seminar 3

Available in specialities: Business analytics, Information systems , Statistics and econometrics

Seminar (30/-) 2 No Yes
Topics in Discrete Mathematics Lecture (30/-), Class (30/-) 7 Yes Yes
Web Applications and PHP Applications Lecture (30/-), Laboratory (30/-) 4 No Yes
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