SubjectsSubjects(version: 980)
Course, academic year 2025/2026
  
   
Databases in Chemical and Forensic Analysis - M143014
Title: Databáze v chemické a forenzní analýze
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2022 to 2026
Semester: summer
Points: summer s.:3
E-Credits: summer s.:3
Examination process: summer s.:
Hours per week, examination: summer s.:1/1, C+Ex [HT]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Raich Ivan doc. Dr. Ing.
Classification: Informatics > Database Systems
Interchangeability : N143043
This subject contains the following additional online materials
Annotation -
Course focused on introduction to forensic databases, with emphasis on chemistry, biochemistry and materials oriented databases.
Last update: Kubová Petra (09.01.2018)
Course completion requirements -

Assessment based on team project and its presentation

Last update: Jirát Jiří (09.02.2018)
Literature -

R: James, S. H., & Nordby, J. J. (2009). Forensic science: An introduction to scientific and investigative techniques 3rd ed. Boca Raton: CRC Press. ISBN: 1420064932

Last update: Kubová Petra (09.01.2018)
Syllabus -

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)
Learning resources -

teaching materials supplied directly by lecturer

Last update: Kubová Petra (09.01.2018)
Learning outcomes -

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)
Registration requirements -

Chemical Informatics, Analytical Chemistry I, Biochemistry I

Last update: Kubová Petra (09.01.2018)
Teaching methods
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
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