Deep learning Field of study: Mathematics
Programme code: W4-S2MT19.2025

Module name: Deep learning
Module code: W4-MT-S2-25-DLea
Programme code: W4-S2MT19.2025
Semester: winter semester 2026/2027
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. Wprowadzenie do uczenia maszynowego: uczenie głębokie a metody klasyczne. 2. Sieci neuronowe. 3. Sieci konwolucyjne (CNN). 4. Sieci rekurencyjne (RNN). 5. Transformery i modele uwagi. 6. Uczenie transferowe i fine-tuning modeli. 7. Uczenie ze wzmocnieniem. 8. Wybrane architektury i metody.
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]
Ma wiedzę z zakresu sztucznych sieci neuronowych [DLea_01]
 K_W04 [3/5] K_W05 [3/5]
Zna i rozumie metody i algorytmy uczenia głębokich sieci neuronowych [DLea_02]
 K_W04 [3/5]
Zna możliwości współczesnych sieci neuronowych. [DLea_03]
 K_W04 [3/5] K_W07 [3/5]
identyfikuje problemy, do których można zastosować metody głębokiego uczenia maszynowego [DLea_04]
 K_K01 [5/5] K_K02 [1/5] K_K04 [1/5]
Potrafi zaprojektować i zaimplementować głęboką sieć neuronową. [DLea_05]
 K_U07 [5/5]
Potrafi wytrenować sieć neuronową do rozwiązania określonego problemu uczenia maszynowego. [DLea_06]
 K_U07 [5/5]
Potrafi ocenić skuteczność wytrenowanej sieci neuronowej. [DLea_07]
 K_U07 [5/5]
Potrafi zaimplementować wybrane modele DL przy użyciu bibliotek programistycznych i przeprowadzić analizę wyników [DLea_08]
 K_U07 [5/5]
Potrafi przeprowadzić prezentację z osiągniętych wyników [DLea_09]
 K_U09 [5/5]
Ma świadomość znaczenia metod uczenia maszynowego w rozwoju nowoczesnych rozwiązań IT. [DLea_10]
 K_K02 [1/5] K_K04 [1/5]
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]  		exam DLea_01 DLea_02 DLea_03 DLea_04 DLea_10
laboratory classes [02] 30 Screen presentation [c07] 
Working with a computer [d01] 
Laboratory exercise / experiment [e01] 
Project scheduling [e04]  		course work DLea_01 DLea_02 DLea_03 DLea_04 DLea_05 DLea_06 DLea_07 DLea_08 DLea_09
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)