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301288 UE Molecular Biophysics (2022S)
Practical Applications
Continuous assessment of course work
Labels
MIXED
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 10.02.2022 08:00 to Th 24.02.2022 18:00
- Deregistration possible until Th 24.02.2022 18:00
Details
max. 15 participants
Language: English
Lecturers
Classes
Termin: 14.3.22 - 6.5.22, blocked, daily 9.00 -17.00
Vorbesprechung: 2.3.2022 um 11 per Zoom (online)Zoom linkMar 2, 2022 11:00 AM Viennahttps://univienna.zoom.us/j/63177141728?pwd=MFR4OU5vYnE3Tm9lS1Jickxsand2Zz09Meeting ID: 631 7714 1728
Passcode: 288923GROUPS 1, 2, 3, 4 14.3.22 – 1.4.22
GROUPS 5, 6, 7, 8 14.3.22 – 18.3.22 & 25.4.22 – 6.5.22**in addition for groups 5-8: live lectures for Module 2 on 21.3.22, 9 am – 1 pm and Module 3 on 29.3.22, 9 am – 1 pm; lectures will be recorded and can also be viewed separately, see below)
Information
Aims, contents and method of the course
The course is partially held in English! In three successive weeks the course gives and introduction to numerical data analysis, the theory of spectroscopy and methods like UV-vis Spectroscopy, Circular Dichroism Spectroscopy and Fluorescence Correlation Spectroscopy. In addition their application in molecular biology / structural biology to analyse and characterize macromolecules (proteins, DNA) is shown.
Assessment and permitted materials
Compulsory attendance; the evaluation consists of different performances: active participation and results obtained, written report, theoretical knowledge including final exam (the percentage of the subgrades will be announced by the course leader); each of the subgrades must have a positive evaluation.
Minimum requirements and assessment criteria
a. Minimum requirement: at least 50% success (each section of the course must be positive); b.Assessment criteria: Performance on the oral exam - 1 (excellent)|90-100%|2 (good): 75-89.99%|3 (satisfactory): 60-74.99%|4 (sufficient): 50-59.99%|5 (insufficient): 0-49.99%
Examination topics
Contents of the lectures and practical exercises as given in the course lecture notes and handouts.
Reading list
John R. Taylor: An introduction to error analysis, ISBN: 978-0935702750
Association in the course directory
BMG 6
Last modified: We 20.04.2022 09:49