Type of studies | Title |
---|---|
Undergraduate Academic Studies | Power Software Engineering (Year: 4, Semester: Summer) |
Category | Professional-applicative |
Scientific or art field | Applied Computer Science and Informatics |
ECTS | 6 |
Mastering students with basic concepts of data science. Students should apply acquired knowledge in anaysis, study and solving real problems.
Acquisition of modern knowledge and skills in data science. The student is trained to analyze, study and solve real problems using the acquired knowledge.
Basic concepts of data science. Algorithms in data science. Application of mathematical statistics methods in data science. Statistical deriving conclusion. Statistical tests. Sampling correlation and regression. Modeling based on computer intelligence (artificial neural networks, decision trees, associative rules, fuzzy logic, support vector machine, genetic algorithm, etc.). Expert systems. Application of artificial intelligence methods in data science. Big data analysis. Predictions and evaluations. Classification. Application of data science in different fields. Analysis of concrete examples.
Lectures. Computer excercises. Consultations. The theoretical part of knowledge is exposed in the lectures. At the same time, practical part of knowledge is exposed in the computer excercises.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2015 | English | |||
2012 | English | |||
2012 | English | |||
2010 | English | |||
2013 | English | |||
2018 | English | |||
2013 | English | |||
2004 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Complex exercises | Yes | Yes | 70.00 |
Theoretical part of the exam | No | Yes | 30.00 |
Full Professor
Assistant Professor
Assistant - Master
Assistant - Master
Assistant - Master
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© 2024. Faculty of Technical Sciences.