Course unit code:

A422P2_4I

Course unit title:

Advanced Concepts in Machine Learning

Mode of delivery, planned learning activities and teaching methods:

seminar – 3 hours weekly (on-site method)

Credits allocated:

3

Recommended semester:

Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Cybernetics in Chemical and Food Technologies – master (full-time, attendance method), 3. semester

Level of study:

2.

Prerequisites for registration:

none

Assesment methods:

 

Learning outcomes of the course unit:

Students get acquainted with advanced concepts from the theory of machine learning and artificial intelligence, they can actively use artificial intelligence models to solve classification problems, especially in the field of prediction based on various input parameters.

Course contents:

Recommended or required reading:

Recommended:

• Chollet, F. Deep Learning With Python. Manning Publications, 2017. 384 s. ISBN 9781617294433.
• Raschka S., Mirjalili V. Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow. Packt Publishing, 2017. 622 s. ISBN 1787125939.

Language of instruction:

Slovak, English

Name of lecturer(s):

M. Gall (2025/2026 – Winter)
M. Gall (2024/2025 – Winter)
M. Gall (2023/2024 – Winter)
M. Gall (2022/2023 – Winter)
M. Gall (2021/2022 – Winter)

Course supervisor:

Ing. Marián Gall, PhD.

Last modification:

14. 9. 2021

AIS: 2025/2026   2024/2025   2021/2022