Type of studies | Title |
---|---|
Undergraduate Academic Studies | Information Systems Engineering (Year: 4, Semester: Summer) |
Category | Professional-applicative |
Scientific or art field |
|
ECTS | 6 |
To impart basic knowledge of machine learning algorithms and methods used in the domain of data mining.
Upon successful completion of the course the students will have acquired knowledge and skills that will enable them to efficiently apply basic techniques of artificial intelligence and machine learning to mine data. They will be introduced to various aspects of computers as data mining tools, structural pattern discovery, presentation and use of knowledge discovered.
The course will cover the following areas: an overview of the basic concepts of data mining, data sources and preprocessing, decision trees, neural networks, support vector machines, clustering, time series analysis. Theoretical instruction will be accompanied by practical training in the use of open source data mining solutions.
Lectures and labs, tests and an exam assignment. The labs will focus on enabling the students to use the Java programming language to implement computer programs. The students’ knowledge of the theory will be evaluated using tests. The individual assignment will consist of the practical implementation of programs of suitable complexity.
Authors | Title | Year | Publisher | Language |
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2006 | English | |||
2011 | English | |||
2017 | English | |||
2017 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 40.00 |
Test | Yes | Yes | 10.00 |
Test | Yes | Yes | 10.00 |
Oral part of the exam | No | Yes | 30.00 |
Test | Yes | Yes | 10.00 |
Full Professor
Full Professor
Assistant Professor
Assistant - Master
Teaching Associate
Assistant - Master
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© 2024. Faculty of Technical Sciences.