SylabUZ
PL | EN |
  • Language
  • polski
  • english
  • Obtain login and password
  • User's manual (available after logging in)
  • Login

SylabUZ

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

computer science and econometrics
First-cycle studies leading to Bachelor's degree
Beginning semester: winter term (2022/2023)


Semester 1
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Computer Programming 1 Lecture (30/-), Laboratory (30/-) 6 Yes No
Linear Algebra 1 Lecture (30/-), Class (30/-) 6 Yes No
Mathematical Analysis 1 Lecture (30/-), Class (30/-) 6 Yes No
Przedmioty obowiązkowe ogólne
Information Technology Laboratory (30/-) 2 No No
Physical Education 1 Class (30/-) 0 No No
Przedmioty obowiązkowe podstawowe
Accountancy Lecture (15/-), Class (15/-) 3 No No
Law Lecture (15/-) 1 No No
Microeconomics Lecture (30/-), Class (15/-) 6 Yes No
Semester 2
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Computer Programming 2 Lecture (30/-), Laboratory (30/-) 5 Yes No
Discrete Mathematics 1 Lecture (30/-), Class (30/-) 6 No No
Linear Algebra 2 Lecture (30/-), Class (30/-) 5 Yes No
Mathematical Analysis 2 Lecture (30/-), Class (30/-) 5 Yes No
Przedmioty obowiązkowe ogólne
English 1 Laboratory (30/-) 2 No No
Physical Education 2 Class (30/-) 0 No No
Przedmioty obowiązkowe podstawowe
Macroeconomics Lecture (30/-), Class (15/-) 6 Yes No
Public Finance Lecture (15/-) 1 No No
Semester 3
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Databases 1 Lecture (30/-), Laboratory (30/-), Class (15/-) 5 Yes No
Probability Theory Lecture (30/-), Class (30/-) 4 Yes No
Przedmioty obowiązkowe ogólne
English 2 Laboratory (30/-) 2 No No
Przedmioty obowiązkowe podstawowe
Management Lecture (30/-), Class (15/-) 3 No No
Przedmioty humanistyczne
Introductory Course to Thesis Writing and Editing Class (30/-) 3 No Yes
Polish Language in Practice Class (30/-) 3 No Yes
Przedmioty oferowane
Algorithms and Data Structures

Available in specialities: Information systems

Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Computer Networks Lecture (30/-), Laboratory (30/-) 5 No Yes
Discrete Mathematics 2

Available in specialities: Information systems

Lecture (30/-), Class (30/-) 4 No Yes
Dynamic Reporting

Available in specialities: Business analytics

Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Fundamentals of Cryptography

Available in specialities: Business analytics

Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Introduction to Numerical Methods

Available in specialities: Statistics and econometrics

Lecture (30/-), Laboratory (15/-), Class (15/-) 6 Yes Yes
LaTeX Laboratory (30/-) 2 No Yes
Object-oriented Programming 1

Available in specialities: Information systems

Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Semester 4
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Descriptive and Economic Statistics Laboratory (30/-) 2 No No
Mathematical Statistics Lecture (30/-), Class (30/-) 4 Yes No
Operations Research 1 Lecture (30/-), Class (30/-) 4 No No
Przedmioty obowiązkowe ogólne
English 3 Laboratory (30/-) 2 No No
Przedmioty oferowane
Business Plan

Available in specialities: Business analytics

Lecture (15/-), Project (15/-) 3 No Yes
Data Processing and Visualisation

Available in specialities: Business analytics

Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Databases 2

Available in specialities: Information systems

Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Databases Project 1 Project (15/-) 3 No Yes
Game Theory

Available in specialities: Business analytics, Statistics and econometrics

Lecture (30/-), Class (30/-) 5 Yes Yes
Introduction to Mathematical Modelling

Available in specialities: Statistics and econometrics

Lecture (15/-), Project (30/-) 6 Yes Yes
Mathematical Statistics - Laboratory

Available in specialities: Statistics and econometrics

Laboratory (30/-) 2 No Yes
Object-oriented Programming 2

Available in specialities: Information systems

Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Probabilistic Methods in Computer Science Lecture (30/-), Class (30/-) 5 Yes Yes
Semester 5
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Diploma Seminar 1 Seminar (30/-) 3 No No
Econometrics Lecture (30/-), Laboratory (15/-), Class (15/-) 4 Yes No
Large Scale Software Design Lecture (30/-), Laboratory (30/-) 4 Yes No
Mathematical Finance and Actuarial Mathematics Lecture (30/-), Laboratory (30/-) 4 No No
Operations Research 2 Lecture (30/-), Laboratory (30/-) 4 Yes No
Przedmioty obowiązkowe ogólne
English 4 Laboratory (30/-) 2 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
Przedmioty oferowane
Actuarial Methods

Available in specialities: Statistics and econometrics

Lecture (30/-), Class (30/-) 4 No Yes
Algorithms and Data Structures Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Basics of Machine Learning Lecture (30/-), Laboratory (30/-) 5 No Yes
Computer Networks Lecture (30/-), Laboratory (30/-) 5 No Yes
Databases Project 2

Available in specialities: Information systems

Project (30/-) 4 No Yes
Discrete Mathematics 2 Lecture (30/-), Class (30/-) 4 No Yes
Fundamentals of Cryptography Lecture (30/-), Laboratory (30/-) 6 Yes Yes
LaTeX Laboratory (30/-) 2 No Yes
Mobile Applications Programming Lecture (30/-), Laboratory (30/-) 5 No Yes
Object-oriented Programming 1 Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Professional Internship

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

Practical training (75/-) 3 No Yes
Semester 6
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
Przedmioty obowiązkowe kierunkowe
Diploma Seminar 2 Seminar (60/-) 7 No No
Przedmioty obowiązkowe podstawowe
Computer Science in Economics Lecture (30/-) 2 No No
Enterprise Finance Lecture (15/-), Class (15/-) 5 No No
Przedmioty oferowane
Databases 2 Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Economic Analysis of Projects

Available in specialities: Business analytics

Lecture (30/-), Laboratory (30/-) 5 No Yes
Experimental Design

Available in specialities: Statistics and econometrics

Lecture (30/-), Laboratory (30/-) 5 No Yes
Fundamentals of Management and Safety Database Systems

Available in specialities: Business analytics, Information systems

Lecture (15/-), Laboratory (30/-) 4 No Yes
Introduction to Mathematical Modelling Lecture (15/-), Project (30/-) 6 Yes Yes
Mathematical Software Laboratory (30/-) 2 No Yes
Mathematical Statistics - Laboratory Laboratory (30/-) 2 No Yes
Object-oriented Analysis and Programming in UML

Available in specialities: Business analytics

Lecture (30/-), Project (30/-) 5 Yes Yes
Object-oriented Programming 2 Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Practical Methods of Statistics

Available in specialities: Statistics and econometrics

Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Probabilistic Methods in Computer Science Lecture (30/-), Class (30/-) 5 Yes Yes
Programing in Statistical Software Packages Project (30/-) 3 No Yes
Quality Control

Available in specialities: Statistics and econometrics

Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Quantum Computing Lecture (30/-), Laboratory (30/-) 5 No Yes
Security of IT Systems

Available in specialities: Information systems

Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Web Applications and PHP Applications Lecture (30/-), Laboratory (30/-) 4 No Yes
SylabUZ

(Build 175) © 2016 Computer Center - University of Zielona Góra