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Instructors: Prof. Dr. Liselotte Schebek; Dr. Christiane Brockmann; M.Sc. Dominik Johannes Dörder
Event type:
practical / lab /internship
Org-unit: Dept. 13 - Civil and Environmental Engineering
Displayed in timetable as:
Chemie IV_pr
Subject:
Crediting for:
Hours per week:
4
Language of instruction:
German
Min. | Max. participants:
- | -
Digital Teaching:
Cannot be offered as digital format.
If the contact ban is relaxed, the experiments can be carried out in small groups under the applicable hygiene standards.
All current information on organisation and content can be obtained via moodle
https://moodle.tu-darmstadt.de/course/view.php?id=27800
Course Contents:
instrumental-analytical methods (UV-VIS; AAS; OES; RFA; MS; GC; HPLC)
Literature:
Instrumentelle Analytik, Grundlagen - Geräte - Anwendungen, D. A. Skoog; J. J. Leary. Übers. von D. Brendel und S. Hoffstetter-Kuhn, Springer
Analytische Chemie: Grundlagen, Methoden und Praxis, G. Schwedt, Wiley - VCH
Analytische Chemie, M. Otto, Wiley – VCH
Preconditions:
Chemistry II for emgineers
recommended: Chemistry III for engineers
Expected Number of Participants:
6
Further Grading Information:
Due to the pandemic situation, the possibilities for carrying out practical courses can change at any time at short notice. If you have any questions, please contact the lecturers directly by email.
Qualification goals / learning outcomes
After attending the course, students will be able to work independently on instrumental-analytical problems according to scientific principles and to professionally validate the results of their investigations.
After successful completion of the course the students are able to:
· name the principles of operation as well as the performance and limits of the instrumental-analytical methods commonly used for environmental and product analysis and classify them by their analytical data set characteristics.
· correctly select, apply and further refine suitable methods for a specific environmental analytical problem.
· apply mathematical-analytical techniques to correctly organize, statistically evaluate and assess data series.
· develop and document a validation of method.
· work out their results independently on the basis of subject-specific analysis and according to academic standards and to reflect their learning process.
· work together in a team and communicate and cooperate in an appropriate manner.
· discuss the results of their work within the framework of scientific thinking.
· write down, present and defend the results of their work in an appropriate manner.
Official Course Description:
Introduction to the labwork in instrumental analysis
Risk Assessment:
risk assessment
(link: https://moodleload.hrz.tu-darmstadt.de/FB13_IWAR_AT/WiSe20-21/Anhang_GBU_Corona-Pandemie_IWAR-Lehrlabor_ChIV_SoSe21.pdf)
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