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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2025/2026

Machine Learning Seminar 4

The course is not on the list Without time-table
Code Completion Credits Range Language
FIT-SM4 Z 4 2C Czech
Course guarantor:
Pavel Kordík
Lecturer:
Magda Friedjungová, Pavel Kordík
Tutor:
Magda Friedjungová, Pavel Kordík
Supervisor:
Department of Applied Mathematics
Synopsis:

This seminar is led by experienced researchers and focuses on reviewing and understanding State-of-the-Art (SOTA) research papers in Machine Learning and AI.

You will learn to:

- Critically analyze research papers from top institutes and groups worldwide.

- Understand the latest breakthroughswhat is being developed in leading research labs.

- Master the methodology for properly reading and presenting scientific literature.

The work in this seminar will prepare you to attend (and profit from) top international ML/AI conferences and summer schools, as well as FIT's own Summer Research Program (VyLet).

Requirements:

Strong interest in Machine Learning and AI.

Syllabus of lectures:

The course consists of student presentations and teacher-led discussions on selected topics and research papers.

Syllabus of tutorials:

The course consists of student presentations and teacher-led discussions on selected topics and research papers.

Study Objective:
Study materials:

All necessary study materials (selected research papers) will be provided by the teachers.

Note:

Course information can be found at https://courses.fit.cvut.cz/FIT-SM1

Further information:
https://courses.fit.cvut.cz/FIT-SM1
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2025-11-28
For updated information see http://bilakniha.cvut.cz/en/predmet8559206.html