Machine Learning Field of study: Mathematics
Programme code: W4-S2MT19.2025

Module name: Machine Learning
Module code: W4-MT-S2-25-UMa
Programme code: W4-S2MT19.2025
Semester: summer semester 2025/2026
Language of instruction: Polish
Form of verification: exam
ECTS credits: 6
Purpose and description of the content of education:
Celem modułu jest zdobycie przez studiującego wiedzy i umiejętności w zakresie następujących treści programowych: 1. Ilustrowana przykładami historia rozwoju dziedziny. 2. Uczenie maszynowe, podział na uczenie nadzorowane, nienadzorowane i uczenie ze wzmocnieniem. Pojęcie funkcji błędu, problem generalizacji, rola zbioru trenującego, testowego. Zagadnienie regresji i klasyfikacji. Dane jako punkt w wielowymiarowej przestrzeni liniowej. Przestrzeń cech. 3. Preprocessing. 4. Klasyczne metody uczenia nadzorowanego. 5. Ocena i wybór modelu. 6. Maszyny wektorów podpierających (SVM). 7. Przekleństwo wymiarowości, redukcja wymiaru przestrzeni cech, metody selekcji i ekstrakcji cech. 8. Regresja liniowa i logistyczna. 9. Uczenie nienadzorowane. 10. Drzewa decyzyjne i losowe lasy. 11. Sztuczne sieci neuronowe. Perceptron wielowarstwowy.
List of modules that must be completed before starting this module (if necessary): not applicable
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Zna i rozumie metody uczenia maszynowego [UMa_1]
 K_W04 [3/5] K_W05 [3/5]
Zna i rozumie rolę zbiorów danych (treningowych, testowych, walidacyjnych) oraz pojęcia związane z generalizacją modelu. [UMa_2]
 K_W04 [3/5]
Zna podstawy działania i zastosowania klasycznych algorytmów uczenia nadzorowanego [UMa_3]
 K_W04 [3/5]
Zna metody oceny jakości modeli predykcyjnych [UMa_4]
 K_W04 [3/5]
identyfikuje problemy, do których można zastosować metody uczenia maszynowego; zna ograniczenia i możliwości takiego podejścia [UMa_5]
 K_U01 [2/5] K_U07 [2/5]
Potrafi dobrać odpowiedni model uczenia maszynowego do postawionego problemu, uzasadnić wybór oraz go zaimplementować. [UMa_6]
 K_U07 [5/5]
Umie przygotować dane do modelowania [UMa_7]
 K_U07 [5/5]
Potrafi zaimplementować wybrane modele ML przy użyciu bibliotek programistycznych i przeprowadzić analizę wyników [UMa_8]
 K_U07 [5/5]
Potrafi przeprowadzić prezentację z osiągniętych wyników [UMa_9]
 K_U09 [5/5]
Form of teaching Number of hours Methods of conducting classes Assessment of the learning outcomes Learning outcomes
lecture [01] 30 Formal lecture/ course-related lecture [a01] 
Explanation/clarification [a05] 
Screen presentation [c07] 
Laboratory exercise / experiment [e01]  		exam UMa_1 UMa_2 UMa_3 UMa_4 UMa_5 UMa_6
laboratory classes [02] 30 Screen presentation [c07] 
Working with a computer [d01] 
Project scheduling [e04]  		course work UMa_1 UMa_2 UMa_3 UMa_4 UMa_5 UMa_6 UMa_7 UMa_8 UMa_9
The student's work, apart from participation in classes, includes in particular:
Name Category Description
Search for materials and review activities necessary for class participation [a01] Preparation for classes
reviewing literature, documentation, tools and materials as well as the specifics of the syllabus and the range of activities indicated in it as required for full participation in classes
Literature reading / analysis of source materials [a02] Preparation for classes
reading the literature indicated in the syllabus; reviewing, organizing, analyzing and selecting source materials to be used in class
Developing practical skills [a03] Preparation for classes
activities involving the repetition, refinement and consolidation of practical skills, including those developed during previous classes or new skills necessary for the implementation of subsequent elements of the curriculum (as preparation for class participation)
Consulting materials complementary to those indicated in the syllabus [a04] Preparation for classes
agreeing on materials complementary to those indicated in the syllabus, supporting the implementation of tasks resulting from or necessary for class participation
Getting acquainted with the syllabus content [b01] Consulting the curriculum and the organization of classes
reading through the syllabus and getting acquainted with its content
Verification / adjustment / discussion of syllabus provisions [b02] Consulting the curriculum and the organization of classes
consulting the content of the syllabus, possibly in the presence of the year tutor or members of the class group, and, if necessary, reassessing the provisions concerning special conditions for class participation, e.g., space and time requirements, technical and other requirements, including conditions for participation in classes outside the walls of the university, classes organized in blocks, organized online, etc.
Determining the stages of task implementation contributing to the verification of learning outcomes [c01] Preparation for verification of learning outcomes
devising a task implementation strategy embracing the division of content, the range of activities, implementation time and/or the method(s) of obtaining the necessary materials and tools, etc.
Studying the literature used in and the materials produced in class [c02] Preparation for verification of learning outcomes
exploring the studied content, inquiring, considering, assimilating, interpreting it, or organizing knowledge obtained from the literature, documentation, instructions, scenarios, etc., used in class as well as from the notes or other materials/artifacts made in class
Implementation of an individual or group assignment necessary for course/phase/examination completion [c03] Preparation for verification of learning outcomes
a set of activities aimed at performing an assigned task, to be executed out of class, as an obligatory phase/element of the verification of the learning outcomes assigned to the course
Analysis of the corrective feedback provided by the academic teacher on the results of the verification of learning outcomes [d01] Consulting the results of the verification of learning outcomes
reading through the academic teacher’s comments, assessments and opinions on the implementation of the task aimed at checking the level of the achieved learning outcomes
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)