460-2064/01 – Fundamentals of Machine Learning (ZSU)

Gurantor department	Department of Computer Science	Credits	4
Subject guarantor	prof. Ing. Jan Platoš, Ph.D.	Subject version guarantor	prof. Ing. Jan Platoš, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	3	Semester	winter
		Study language	Czech
Year of introduction	2019/2020	Year of cancellation
Intended for the faculties	FEI	Intended for study types	Bachelor

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
HAN0261	Ing. Marek Hanuš
OCE0015	Ing. Terezie Ocelková
PLA06	prof. Ing. Jan Platoš, Ph.D.
SIK0185	Ing. Alexandra Sikorová
VAS218	Ing. Michal Vašinek, Ph.D.
HAR0014	Ing. Markéta Vašinková, Ph.D.
ZDR0053	Ing. Jan Zdražil

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Graded credit	2+2
Part-time	Graded credit	14+0

Subject aims expressed by acquired skills and competences

The course aims to acquaint students with the data, data analysis, and machine learning at a level that will match absolved subjects and their level of knowledge. The primary knowledge that will be given to students is knowledge about data, their preparation, statistical properties, data processing methods and machine learning. Students will be able to understand the data properties, analytical methods, and will be able to correctly interpret the results achieved and present and visualize these methods.

Teaching methods

Lectures
Tutorials
Teaching by an expert (lecture or tutorial)

Summary

The students will learn about the data properties, data storage, and processing in the course. They will also learn methods of data analysis, machine learning, artificial intelligence, interpretation of results and their visualization. The lectures will deal with statistical properties of data, methods of data cleaning and preprocessing. Next, the theoretical description of methods of data processing, machine learning, and artificial intelligence. Students will be able to decide which method is appropriate, what assumptions, what is its principle, and what outputs it can get. The exercises will then serve for practical experiments on suitable datasets, experimenting with data analysis tools, and evaluating results.

Compulsory literature:

Presentation for lectures. HASTIE, Trevor., Robert. TIBSHIRANI and J. H. FRIEDMAN. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, NY: Springer, c2009. ISBN 978-0-387-84858-7. WITTEN, Ian H., Eibe FRANK, Mark A. HALL and Christopher J. PAL. Data mining: Practical machine learning tools and techniques. Fourth Edition. Amsterdam: Elsevier, 2017. ISBN 978-0-12-804291-5.

Recommended literature:

LESKOVEC, Jurij, Anand RAJARAMAN and Jeffrey D. ULLMAN. Mining of massive datasets / Jure Leskovec, Standford University, Anand Rajaraman, Milliways Labs, Jeffrey David Ullman, Standford University. Second edition. Cambridge: Cambridge University Press, 2014. ISBN 9781107077232. AGGARWAL, Charu C. Data mining: the textbook. New York, NY: Springer Science+Business Media, 2015. ISBN 978-3-319-14141-1.

Additional study materials

Study supports in the EduDocs system

Way of continuous check of knowledge in the course of semester

The student knowledge is checked during lab using exercises, home works and implementation of selected algorithm.

E-learning

All materials are published on the e-learning portal (https://www.vsb.cz/e-vyuka/cs).

Other requirements

Additional requirements are not placed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Data and their Properties 2. Statistical Data Features 3. Knowledge Representation 4. Basic Algorithms 5. Credibility and Algorithm evaluation 6. Advanced Methods and Algorithms 7. Extending of Linear Model 8. Data Transformation 9. Optimization methods 10. Data Vizualization Exercises on computer lab: 1. Demonstration of lecture knowledge - data and the properties. 2. Demonstration of lecture knowledge - statistical data proeprties. 3. Demonstration of lecture knowledge - knowledge representations. 4. Demonstration of lecture knowledge - linear models. 5. Demonstration of lecture knowledge - model quality and its measurement. 6. Demonstration of lecture knowledge - non=linear models. 7. Demonstration of lecture knowledge - data transformation. 8. Demonstration of lecture knowledge - data transformation. 9. Demonstration of lecture knowledge - optimization method introduction. 10. Demonstration of lecture knowledge - data visualization.

Conditions for subject completion

Part-time form (validity from: 2023/2024 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Graded credit	Graded credit	100 (100)	51	3
Exploratory and clustering data analysis	Project	55	20	1
Data Classification	Project	45	20	1

Mandatory attendence participation: Participation in the exercises is compulsory and is monitored. The amount of the compulsory participation will be communicated to the students by the course supervisor at the beginning of the semester.

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic year	Programme	Zaměření	Form	Study language	Tut. centre	Year	Type of duty
2026/2027	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2026/2027	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2026/2027	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2026/2027	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Compulsory	study plan
2026/2027	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Compulsory	study plan
2026/2027	(B0714A060023) Communication and Information Technology		P	Czech	Ostrava	3	Optional	study plan
2026/2027	(B0714A060023) Communication and Information Technology		K	Czech	Ostrava	3	Optional	study plan
2025/2026	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2025/2026	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2025/2026	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2025/2026	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Compulsory	study plan
2025/2026	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Compulsory	study plan
2025/2026	(B0714A060023) Communication and Information Technology		K	Czech	Ostrava	3	Optional	study plan
2025/2026	(B0714A060023) Communication and Information Technology		P	Czech	Ostrava	3	Optional	study plan
2025/2026	(B0714A060018) Biomedical Assistive Technology		P	Czech	Ostrava	3	Choice-compulsory type B	study plan
2024/2025	(B0714A060018) Biomedical Assistive Technology		K	Czech	Ostrava	3	Choice-compulsory type B	study plan
2024/2025	(B0714A060018) Biomedical Assistive Technology		P	Czech	Ostrava	3	Choice-compulsory type B	study plan
2024/2025	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2024/2025	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2024/2025	(B0714A060010) Telecommunication Technology		P	Czech	Ostrava	3	Optional	study plan
2024/2025	(B0714A060023) Communication and Information Technology		P	Czech	Ostrava	3	Optional	study plan
2024/2025	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2024/2025	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Compulsory	study plan
2024/2025	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Compulsory	study plan
2024/2025	(B0714A060010) Telecommunication Technology		K	Czech	Ostrava	3	Optional	study plan
2024/2025	(B0714A060023) Communication and Information Technology		K	Czech	Ostrava	3	Optional	study plan
2023/2024	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2023/2024	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2023/2024	(B0714A060018) Biomedical Assistive Technology		P	Czech	Ostrava	3	Choice-compulsory type B	study plan
2023/2024	(B0714A060018) Biomedical Assistive Technology		K	Czech	Ostrava	3	Choice-compulsory type B	study plan
2023/2024	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2023/2024	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Optional	study plan
2023/2024	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Optional	study plan
2023/2024	(B0714A060023) Communication and Information Technology		P	Czech	Ostrava	3	Optional	study plan
2023/2024	(B0714A060023) Communication and Information Technology		K	Czech	Ostrava	3	Optional	study plan
2023/2024	(B0714A060010) Telecommunication Technology		K	Czech	Ostrava	3	Optional	study plan
2023/2024	(B0714A060010) Telecommunication Technology		P	Czech	Ostrava	3	Optional	study plan
2022/2023	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2022/2023	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2022/2023	(B0714A060018) Biomedical Assistive Technology		P	Czech	Ostrava	3	Choice-compulsory type B	study plan
2022/2023	(B0714A060018) Biomedical Assistive Technology		K	Czech	Ostrava	3	Choice-compulsory type B	study plan
2022/2023	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2022/2023	(B0714A060010) Telecommunication Technology		P	Czech	Ostrava	3	Optional	study plan
2022/2023	(B0714A060010) Telecommunication Technology		K	Czech	Ostrava	3	Optional	study plan
2022/2023	(B0714A060023) Communication and Information Technology		P	Czech	Ostrava	3	Optional	study plan
2022/2023	(B0714A060023) Communication and Information Technology		K	Czech	Ostrava	3	Optional	study plan
2022/2023	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Optional	study plan
2022/2023	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Optional	study plan
2021/2022	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2021/2022	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2021/2022	(B0714A060018) Biomedical Assistive Technology		P	Czech	Ostrava	3	Choice-compulsory type B	study plan
2021/2022	(B0714A060018) Biomedical Assistive Technology		K	Czech	Ostrava	3	Choice-compulsory type B	study plan
2021/2022	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2021/2022	(B0714A060010) Telecommunication Technology		P	Czech	Ostrava	3	Optional	study plan
2021/2022	(B0714A060010) Telecommunication Technology		K	Czech	Ostrava	3	Optional	study plan
2021/2022	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Optional	study plan
2021/2022	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Optional	study plan
2020/2021	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2020/2021	(B0714A060018) Biomedical Assistive Technology		K	Czech	Ostrava	3	Choice-compulsory type B	study plan
2020/2021	(B0714A060018) Biomedical Assistive Technology		P	Czech	Ostrava	3	Choice-compulsory type B	study plan
2020/2021	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan
2020/2021	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2020/2021	(B0714A060010) Telecommunication Technology		P	Czech	Ostrava	3	Optional	study plan
2020/2021	(B0714A060010) Telecommunication Technology		K	Czech	Ostrava	3	Optional	study plan
2020/2021	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Optional	study plan
2020/2021	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Optional	study plan
2019/2020	(B0714A060010) Telecommunication Technology		P	Czech	Ostrava	3	Optional	study plan
2019/2020	(B0714A150003) Computer Systems for the Industry of the 21st. Century	INF	P	Czech	Ostrava	3	Compulsory	study plan
2019/2020	(B0541A170008) Computational and Applied Mathematics		P	Czech	Ostrava	3	Optional	study plan
2019/2020	(B0541A170008) Computational and Applied Mathematics		K	Czech	Ostrava	3	Optional	study plan
2019/2020	(B0714A060010) Telecommunication Technology		K	Czech	Ostrava	3	Optional	study plan
2019/2020	(B0613A140014) Computer Science	INF	P	Czech	Ostrava	3	Compulsory	study plan
2019/2020	(B0613A140014) Computer Science	INF	K	Czech	Ostrava	3	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction