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Selected artificial intelligence techniques

General data

Course ID: WM-I-Z-S1-E5-WTSI
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Selected artificial intelligence techniques
Name in Polish: Wybrane techniki sztucznej inteligencji
Organizational unit: Faculty of Mathematics and Natural Sciences. School of Exact Sciences.
Course groups:
ECTS credit allocation (and other scores): 0 OR 2.00 (depends on study program) Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
view allocation of credits
Language: Polish
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się:

information and communication technology
Subject level:

intermediate
Learning outcome code/codes:

LECTURE: I1_W07, I1_W08, I1_W16, I1_U14, I1_U16


LABORATORY: I1_W07, I1_W08, I1_W16, I1_U14, I1_U16

Preliminary Requirements:

Course: Data structures and algorithms
Full description:

Survey of current artificial intelligence technologies: knowledge representation, inference methods, searching algorithms, constraint satisfaction problems, game playing strategies, expert systems, neural networks.
Efekty kształcenia i opis ECTS: (in Polish)

Wykład i laboratoria:

W1 - Student zna różne metody przeszukiwania (ogólne i heurystyczne) (I1_W07).

W2 - Student zna strategie rozgrywania gier, w tym algorytmy minimax i alfa-beta (I1_W07).

W3 - Student zna różne metody reprezentacji wiedzy i rozumowania (I1_W08).

W4 - Student zna pojęcie systemu eksperckiego, zastosowania i ograniczenia takich systemów (I1_W08).

W5 - Student zna cele i zakres zastosowań sztucznej inteligencji w innych dziedzinach (I1_W16).

U1 - Student potrafi pozyskiwać informacje z literatury, baz wiedzy, Internetu oraz innych źródeł, integrować je, interpretować oraz wyciągać wnioski i formułować opinie (I1_U14).

U2 - Student potrafi uczyć się samodzielnie (I1_U16).
Assessment methods and assessment criteria:

For all effects, the following assessment criteria are adopted for all forms of verification:

grade 5: fully achieved (no obvious shortcomings)

grade 4.5: achieved almost fully and criteria for awarding a higher grade are not met

grade 4: largely achieved, and the criteria for a higher grade are not met

grade 3.5: largely achieved - with a clear majority of positives - and the criteria for granting a higher grade are not met

grade 3: achieved for most of the cases covered by the verification and criteria for a higher grade are not met

grade 2: not achieved for most of the cases covered by the verification

Classes in period "Winter semester 2021/22" (past)

Time span: 2021-10-01 - 2022-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Laboratory, 10 hours more information
Lectures, 10 hours more information
Coordinators: Artur Mikitiuk
Group instructors: Jan Kanturski, Artur Mikitiuk
Students list: (inaccessible to you)
Examination: Course - examination
Laboratory - graded credit
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning (pełny kurs) z podziałem na grupy

Classes in period "Winter semester 2022/23" (past)

Time span: 2022-10-01 - 2023-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Laboratory, 10 hours more information
Lectures, 10 hours more information
Coordinators: Artur Mikitiuk
Group instructors: Jan Kanturski, Artur Mikitiuk
Students list: (inaccessible to you)
Examination: Course - examination
Laboratory - graded credit
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning (pełny kurs) z podziałem na grupy
(in Polish) Opis nakładu pracy studenta w ECTS:

(in Polish) Szacunkowy nakład pracy studenta:


WYKŁAD


uczestnictwo w zajęciach 10 h

uczestnictwo w egzaminie 2 h

przygotowanie do egzaminu 12 h

konsultacje 1 h


Razem 25 h, co odpowiada 1 ECTS


LABORATORIA


uczestnictwo w zajęciach 10 h

przygotowanie do zajęć 5 h

przygotowanie projektu 5 h

prace domowe 3 h

konsultacje 1 h

zaliczenie zajęć 1 h



Razem 25 h, co odpowiada 1 ECTS

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-31
Selected timetable range:
Navigate to timetable
Type of class:
(in Polish) Laboratorium 2, 10 hours more information
Lectures, 10 hours more information
Coordinators: Dorota Dąbrowska, Artur Mikitiuk
Group instructors: Jan Kanturski, Artur Mikitiuk
Students list: (inaccessible to you)
Examination: Course - examination
(in Polish) Laboratorium 2 - graded credit
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning (pełny kurs) z podziałem na grupy
(in Polish) Opis nakładu pracy studenta w ECTS:

(in Polish) Szacunkowy nakład pracy studenta:


WYKŁAD


uczestnictwo w zajęciach 10 h

uczestnictwo w egzaminie 2 h

przygotowanie do egzaminu 12 h

konsultacje 1 h


Razem 25 h, co odpowiada 1 ECTS


LABORATORIA


uczestnictwo w zajęciach 10 h

przygotowanie do zajęć 5 h

przygotowanie projektu 5 h

prace domowe 3 h

konsultacje 1 h

zaliczenie zajęć 1 h



Razem 25 h, co odpowiada 1 ECTS
Type of subject:

obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Classes in period "Winter semester 2024/25" (future)

Time span: 2024-10-01 - 2025-01-31
Selected timetable range:
Navigate to timetable
Type of class:
(in Polish) Laboratorium 2, 10 hours more information
Lectures, 10 hours more information
Coordinators: (unknown)
Group instructors: (unknown)
Students list: (inaccessible to you)
Examination: Course - examination
(in Polish) Laboratorium 2 - graded credit
Lectures - examination
(in Polish) E-Learning:

(in Polish) E-Learning
Type of subject:

obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy
Course descriptions are protected by copyright.
Copyright by Cardinal Stefan Wyszynski University in Warsaw.
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01-815 Warszawa tel: +48 22 561 88 00 https://uksw.edu.pl contact accessibility statement USOSweb 7.0.3.0-1 (2024-04-02)