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Study plan

Open Informatics - Artificial Intelligence 2026

1st semester

Advanced Algorithms

P 6cr.

Combinatorial Optimization

P 6cr.

Computational Game Theory

PS 6cr.

Machine Learning Fundamentals

PS 6cr.

Safety in Electrical Engineering for a master´s degree

P 0cr.

Elective subjects

V 6cr.

2nd semester

Software or Research Project

P 6cr.

Theory of Algorithms

P 6cr.

Automated Planning and Reasoning

PS 6cr.

Reinforcement Learning

PS 6cr.

Elective subjects

V 6cr.

3rd semester

Diploma Project

P 10cr.

Diploma Project Results

P 2cr.

Advanced Deep Learning

PS 6cr.

Compulsory elective subjects of the specialization
PV It is a subject that is part of a compulsory block of subjects from which the student must complete subjects with a certain minimum credit value - i.e. he does not have to complete all of them, but chooses according to his interest in order to fulfill the prescribed number of credits. 6cr.

Causal Inference and Bayesian Networks

PV It is a subject that is part of a compulsory block of subjects from which the student must complete subjects with a certain minimum credit value - i.e. he does not have to complete all of them, but chooses according to his interest in order to fulfill the prescribed number of credits. 6cr.

Computer Vision Methods

PV It is a subject that is part of a compulsory block of subjects from which the student must complete subjects with a certain minimum credit value - i.e. he does not have to complete all of them, but chooses according to his interest in order to fulfill the prescribed number of credits. 6cr.

Deep Generative Models

PV It is a subject that is part of a compulsory block of subjects from which the student must complete subjects with a certain minimum credit value - i.e. he does not have to complete all of them, but chooses according to his interest in order to fulfill the prescribed number of credits. 6cr.

Large Language Models with Applications

PV It is a subject that is part of a compulsory block of subjects from which the student must complete subjects with a certain minimum credit value - i.e. he does not have to complete all of them, but chooses according to his interest in order to fulfill the prescribed number of credits. 6cr.

Non-smooth non-convex optimization for training deep neural networks

PV It is a subject that is part of a compulsory block of subjects from which the student must complete subjects with a certain minimum credit value - i.e. he does not have to complete all of them, but chooses according to his interest in order to fulfill the prescribed number of credits. 6cr.

Elective subjects

V 6cr.

4th semester

Diploma Thesis

P 18cr.

Elective subjects

V 12cr.

Responsible person Ing. Mgr. Radovan Suk