CAD – Introduction to Generative AI Field of study: Music in Multimedia
Programme code: W6-S2MLA25.2025

Module name: CAD – Introduction to Generative AI
Module code: W6-DigiCrea-MM-CAD
Programme code: W6-S2MLA25.2025
Semester: winter semester 2025/2026
Language of instruction: English
Form of verification: course work
ECTS credits: 1
Purpose and description of the content of education:
The module "CAD – Introduction to Generative AI" introduces students to fundamental concepts and tools of generative artificial intelligence as applied to music creation. The module explores using machine learning algorithms and neural networks in sound composition and the development of new artistic forms. Participants will learn generative design techniques by creating experimental projects based on audio data. The course emphasizes practical applications and experimentation with tools such as AI models designed for sound analysis and synthesis. The course is an excellent opportunity to develop skills in collaborating with advanced technologies in sound creation.
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]
The student designs experimental sound projects using machine learning algorithms and neural networks. [SND-S2-CAD_1]
 W6-MM-S2-U01 [5/5] W6-MM-S2-U02 [4/5] W6-MM-S2-U04 [5/5]
The student applies generative artificial intelligence tools for sound analysis and synthesis in practical contexts. [SND-S2-CAD_2]
 W6-MM-S2-U02 [5/5] W6-MM-S2-U04 [5/5] W6-MM-S2-U06 [4/5]
The student critically evaluates the impact of generative artificial intelligence technologies on contemporary culture and creative ethics in the field of sound. [SND-S2-CAD_3]
 W6-MM-S2-K01 [5/5] W6-MM-S2-K04 [5/5] W6-MM-S2-K05 [4/5]
Form of teaching Number of hours Methods of conducting classes Assessment of the learning outcomes Learning outcomes
practical classes [C_CAD] 12 Lecture-discussion [b02] 
Activating methods: a case study [b07] 
Activating method – peer learning [b08] 
Demonstration-imitation [c06]  		course work SND-S2-CAD_1 SND-S2-CAD_2 SND-S2-CAD_3
The student's work, apart from participation in classes, includes in particular:
Name Category Description
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)
Production/preparation of tools, materials or documentation necessary for class participation [a05] Preparation for classes
developing, preparing and assessing the usefulness of tools and materials (e.g. aids, scenarios, research tools, equipment, etc.) to be employed in class or as an aid when preparing for classes
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)