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Lecturer(s)
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Čížková Hana, prof. RNDr. CSc.
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Course content
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Acquisition of information retrieval in science from primary and secondary sources using modern methods of communication, their processing and sorting. Primary and secondary information sources. Internet search, online library catalogs. Databases, CD-ROM servers, keywords, thesaurus, communication between scientists. Evaluation and classification of information in science: citation standard ISO 690, IF, SCI, The Web of Science, personal bibliographic database, processing of graphic materials (scanner, digital photography). Presentation of information in science: written, principles of creating a professional text, rules of citation of information sources, structure of a scientific publication, elaboration of a dissertation.
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Learning activities and teaching methods
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Work with text (with textbook, with book), Individual preparation for exam, Work with multi-media resources (texts, internet, IT technologies), Individual tutoring
- Semestral paper
- 100 hours per semester
- Class attendance
- 50 hours per semester
- Preparation for exam
- 100 hours per semester
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Learning outcomes
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The aim is to master the search for information in science from primary and secondary sources using modern methods of communication, their processing and sorting.
Searching for information in science from primary and secondary sources using modern methods of communication, their processing and sorting.
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Prerequisites
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Completion of a master's or engineering degree
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Assessment methods and criteria
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Oral examination, Written examination, Seminar work
Working with text Individual study for the exam Working with multimedia resources Individual consultations with the teacher Elaboration of a seminar work on a given topic Presentation of seminar work
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Recommended literature
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Beneš K. Metodologie a dějiny přírodních věd. Základní přehled, 2005, 57 s. + 1 příl.. TF JU v CB, 2005. ISBN 80-7040-778-6.
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Demjančuk N. Filosofie a vědecké myšlení.Proměna obrazu vědy v analytické tradici,. Západočeská univerzita, 2002.
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Gruhl J., Gruhl N. Methods and Examples of Model Validation ?an Annotated Bibliography. Cambridge, MA: Massachusetts Institute of Technology, Energy Laboratory. 1978.
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Hebák, P. et al. Vícerozměrné statistické metody (3), 2007. 2. vyd. Praha: Informatorium, 2007.
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Hebák P., Hustopecký J., Jarošová E, Pecáková I. Vícerozměrné statistické metody (1), 2007. 2. vyd. Praha: Informatorium, 2007.
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Mařík, V., Štěpánková, O. & Lažanský, J. Umělá inteligence 2. Praha Academia, 1997.
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Mařík, V., Štěpánková, O. & Lažanský, J. Umělá inteligence 4. Praha Academia, 2003.
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Mildeová, S. & Dalihod, M., 2010. Validita modelu & realita systému. In: Systémové přístupy, 2010 [CD-ROM] Praha: Oeconomica. Praha: Oeconomica, 2010.
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Molnár Z. Úvod do základů vedecké práce (aneb jak napsat úspěšnou disertaci). Sylabus pro potřeby semináře doktorandů. ČVUT, 2010.
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Ochrana F. Metodologie vědy, Úvod do problému, 2013, 158 s.. Karolinum, 2013. ISBN 9788024616094.
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Vymětal J., Váchová M. Úvod do studia odborné literatury. 2000. Praha: ORAC, 2000.
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