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Obligatory courses for 2nd grade Computer Science (course group defined by Faculty of Mathematics, Informatics, and Mechanics)

Faculty: Faculty of Mathematics, Informatics, and Mechanics Courses displayed below are part of group defined by this faculty, but this faculty is not necessarily the one that organizes these courses. Read Help for more information on this subject.
Course group: Obligatory courses for 2nd grade Computer Science
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2023Z - Winter semester 2023/24
2023L - Summer semester 2023/24
2024Z - Winter semester 2024/25
2024L - Summer semester 2024/25
(there could be semester, trimester or one-year classes)
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2023Z 2023L 2024Z 2024L
1000-213bASD n/a n/a
Classes
Winter semester 2023/24
  • Classes - 30 hours
  • Lab - 30 hours
  • Lecture - 30 hours
Winter semester 2024/25
  • Classes - 30 hours
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Design and analysis of algorithms. Survey of fundamental algorithms and data structures. Practical improving programming and algorithm development skills. Applying ready to use libraries of algorithms and data structures.

Course page
1000-213bCPP n/a n/a
Classes
Winter semester 2023/24
  • Lab - 30 hours
Winter semester 2024/25
  • Lab - 30 hours
Groups

Brief description

(in Polish) Celem tego przedmiotu jest pokazanie studentom nowoczesnego i efektywnego stylu programowania w języku C++.

Course page
1000-214bSIK n/a n/a
Classes
Summer semester 2023/24
  • Lab - 30 hours
  • Lecture - 30 hours
Summer semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Working, desing and configuration principles of computer networks. A survey of the most important network protocols. Network security basics.

Course page
1000-213bPW n/a n/a
Classes
Winter semester 2023/24
  • Classes - 30 hours
  • Lab - 30 hours
  • Lecture - 30 hours
Winter semester 2024/25
  • Classes - 30 hours
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

The goal of the lecture is to present basic problems and techniques of programming in concurrent and distributed systems. The course is focused on two key issues: correctness and performance. In connection with fundamental problems of synchronisation such as mutual exclusion and readers-writers problem, the course presents solutions based upon shared variables and ones that require higher-level language support.

Course page
1000-213bBD n/a n/a
Classes
Winter semester 2023/24
  • Lab - 15 hours
  • Lecture - 15 hours
Winter semester 2024/25
  • Lab - 15 hours
  • Lecture - 15 hours
Groups

Brief description

Structures and functions of database systems and a survey of data model. Relational databases. Relational query languages (relational algebra, first order calculus, SQL and Datalog). Database design, functional dependencies and normal forms. Entity-relationship modelling. Physical data storage and physical query execution. Query optimisation. Transaction processing.

Course page
1000-214bWUM n/a n/a
Classes
Summer semester 2023/24
  • Lab - 30 hours
  • Lecture - 30 hours
Summer semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

(in Polish) Wstęp do pojęć i narzędzi uczenia maszynowego. Estymacja parametrów i testowanie hipotez, podstawy teorii uczenia maszynowego, regresja liniowa, klasyfikacja, klastrowanie, maszyny wektorów wspierających.

Course page
1000-214bJAO n/a n/a
Classes
Summer semester 2023/24
  • Classes - 30 hours
  • Lecture - 30 hours
Summer semester 2024/25
  • Classes - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Basic computation models (automata, grammars and Turing machines). Chomsky hierarchy. Mathematical description of computability; the limits of computability; and a brief introduction to computational complexity.

Course page
1000-213bRP n/a n/a
Classes
Winter semester 2023/24
  • Classes - 30 hours
  • Lecture - 30 hours
Winter semester 2024/25
  • Classes - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Basic introduction to probability theory including: probability space, conditional probability, discrete and continuous random variables, basic probability distributions, Markov chains.

Course page
1000-213bPYT n/a n/a
Classes
Winter semester 2023/24
  • Lab - 30 hours
Winter semester 2024/25
  • Lab - 30 hours
Groups

Brief description

(in Polish) Wprowadzenie do języka Python, omówienie wybranych bibliotek i narzędzi. Po tym kursie studenci będą przygotowani do udziału w bardziej specjalistycznych zajęciach np. ze Sztucznej inteligencji czy Aplikacji WWW.

Course page
1000-214bIO n/a n/a
Classes
Summer semester 2023/24
  • Lecture - 30 hours
Summer semester 2024/25
  • Lecture - 30 hours
Groups

Brief description

(in Polish) Zasady tworzenia oprogramowania w projektach programistycznych. Omówienie wybranych praktyk i narzędzi wspierających wytwarzanie oprogramowania.

Course page
1000-214bWWW n/a n/a
Classes
Summer semester 2023/24
  • Lab - 30 hours
  • Lecture - 30 hours
Summer semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Programming techniques and tools for building WWW applications and servers.

Course page
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
contact accessibility statement USOSweb 7.0.3.0 (2024-03-22)