Studies are conducted in Polish, remotely in real time using the Google Workspace package. Classes are recorded and made available to listeners.
A graduate is able to combine various elements in the field of statistics and computer science: programming, the use of advanced analytical tools, data processing. He can operate the programming language used in data analysis (Python or R), he has knowledge about data storage (in SQL and no-SQL databases) and their visualization, he can use machine learning algorithms to solve practical problems, he knows the basic tools used in in Big Data.
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Studies are conducted in Polish, remotely in real time using the Google Workspace package. Classes are recorded and made available to listeners.
The aim of the studies is to familiarize students with the most popular techniques, algorithms and tools for data analysis (including in the GNU R environment). The acquired competences are related to learning and using programming methods and techniques supporting the analyst's work, statistical methods for describing, modeling and forecasting various phenomena, tools for analyzing mass processes, methods for visualizing statistical data.
Studies are conducted in Polish, remotely in real time using the Google Workspace package. Classes are recorded and made available to listeners.
Studies in Applied Computer Science enable you to improve your skills and acquire knowledge in broadly understood computer science. Taking up the proposed scope will enable the listener to acquire knowledge and skills in areas such as: operating systems, computer networks, database programming, web application programming and artificial intelligence. The graduate can work in almost all areas of industry, economy and administration. The IT industry is the fastest growing industry in the world, which is why there is a constant demand for IT specialists, programmers, network administrators and database administrators.
More informationThe studies are conducted remotely in real time using the Google Workspace package. Classes are recorded and made available to students.
Data collection and analysis are becoming fundamental in most industries. Data can help companies make decisions on a variety of issues. Data science is not only about collecting and analyzing information, it is the ability to predict the future and verify the effects of decisions made in the past.
The graduate is characterized by the following competences: uses IT tools for data acquisition, processing and analysis, programs in Python, has knowledge of statistical methods and machine learning, uses them to analyze data sets from various sources, implements learned algorithms in the field of visualization issues computer, uses appropriately selected programming environments to design, create, modify and manage databases.
More informationPostgraduate studies Data Analysis and Engineering at the University of Warmia and Mazury in Olsztyn last two semesters and are conducted online on the Google Workspace platform. Classes are recorded and made available to listeners.
Data analysis involves collecting and examining data to draw conclusions and make decisions. The information obtained can be used in many ways, for example to build a business strategy or ensure the safety and efficiency of an engineering project.
Data collection and analysis is becoming fundamental in most industries. Data can help companies make decisions on a variety of issues. Data science is not only collecting and analyzing information, it is the ability to predict the future and verify the effects of decisions made in the past. A graduate of postgraduate studies is characterized by the following competences: uses IT tools for data acquisition, processing and analysis, programs in Python, has knowledge of statistical methods and machine learning, applies them to the analysis of data sets from various sources, implements known algorithms in the field of with computer visualization, uses properly selected programming environments to design, create, modify and manage databases.
More informationPostgraduate studies in the field of Computer Science for teachers are studies preparing for the teaching profession in the field of substantive and didactic preparation for teaching another subject and are intended for graduates of first-cycle studies and second-cycle studies or uniform master's studies in majors whose curricula defined learning outcomes covering knowledge and skills corresponding to the general requirements of the core curriculum of the subject of computer science, having substantive, psychological and pedagogical preparation, in the field of didactics and voice emission, and didactic preparation for teaching the first subject (in accordance with the REGULATION OF THE MINISTER OF SCIENCE AND HIGHER EDUCATION of July 25, 2019 on the standard education preparing for the teaching profession (i.e. Journal of Laws of 2021, item 890).
Postgraduate studies in the field of Informatics (upgrading studies) are studies that improve the qualifications of active teachers who are authorized to teach computer science at any educational stage (120 teaching hours).
A graduate of postgraduate studies in Informatics (upgrading studies) has detailed knowledge related to the most popular programming techniques, algorithms, tools and software used in the work of an IT teacher.
The studies include, among others: aimed at improving the competences of people employed in educational institutions.