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Course focused on introduction to forensic databases, with emphasis on chemistry, biochemistry and materials oriented databases.
Last update: Kubová Petra (09.01.2018)
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Assessment based on team project and its presentation Last update: Jirát Jiří (09.02.2018)
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1. General introduction to databases 2. General introduction to databases II - tables 3. General introduction to databases III - queries 4. General introduction to databases IV - forms 5. ERA model, database normalization, introduction to use of AI tolls 6. Basic principals of AI 7. Basic algorithms and applications of AI 8. Chemical databases - spectroscopy 9. Chemical databases - mass spectra and crystallography 10. Forensic databases 11. AI in forensic analysis 12. AI in chemical analysis 13. Revision – preparation of materials for the final exam Last update: Raich Ivan (02.02.2026)
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teaching materials supplied directly by lecturer Last update: Kubová Petra (09.01.2018)
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Students will be able to: Have an overview of existing forensic databases Understand the principles of acquisition, processing and entry of data into these databases; understand which properties/characteristics are in certain types of databases available Search for data in demo versions of selected databases Last update: Kubová Petra (09.01.2018)
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Chemical Informatics, Analytical Chemistry I, Biochemistry I Last update: Kubová Petra (09.01.2018)
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| Activity | Credits | Hours | ||
| Účast na přednáškách | 0.5 | 14 | ||
| Práce na individuálním projektu | 1 | 28 | ||
| Příprava na zkoušku a její absolvování | 1 | 28 | ||
| Účast na seminářích | 0.5 | 14 | ||
| 3 / 3 | 84 / 84 | |||

