1st-week History and introduction to the subject - information technology, information systems, PC networks. Internet - connection, IP addressing, URL structure. Internet as a source of information - search tools, Boolean operators. 2nd-week Health informatics - creating professional texts in an academic environment, types of scientific publications, remote access to information, searching for scientific information. Rules for writing theses, citing, and plagiarism. Crossref, DOI. 3rd-week Electronic information resources - user environment, search and control options (Web of Science, Primo, Scopus, ProQuest, SpringerLink, Wiley, ScienceDirect, etc.), examples. 4th-week Electronic information sources - solving practical examples. Data analysis in the literature. 5th-week Bioinformatics in practice - basics of searching in selected biological databases. 6th-week Laboratory information systems - characteristics, structure, functions of systems. 7th-week Laboratory information systems - basics of OpenLIMS operation. 8th-week MS Excel - user interface, essential functions, nested functions, graphs of functions. Processing and evaluation of experimental data. 9th-week MS Excel - import of experimental biological data from external files and databases. Working with large data files - sorting, filtering data, pivot tables, and graphs. 10th week Work with experimental biological data - fundamental mathematical-statistical analysis of experimental data - selected statistical characteristics, statistical analysis. 11th week Work with experimental biological data - interpretation of results, statistical evaluation of hypotheses.
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The subject introduces students to information technology basics, computer networks, and the Internet. Most seminars are dedicated to health informatics, searching for electronic information sources, and the basics of bioinformatics in practice. Furthermore, students are introduced to laboratory information systems and their control. Several seminars are devoted to interpreting experimental data, working with biological data, and their essential statistical evaluation. Teaching occurs in specialized classrooms equipped with PCs with the necessary SW, information retrieval using database systems, and the basics of working in LIS/OpenLIMS.
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