260193 LP Practical Class on Modern Microscopical Methods (2021S)
Continuous assessment of course work
Labels
ON-SITE
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 Mo 01.02.2021 08:00 to Mo 22.02.2021 07:00
- Deregistration possible until Fr 26.03.2021 23:59
Details
max. 4 participants
Language: German, English
Lecturers
Classes
Vorbesprechung: Donnerstag 11.03.2021, 13:00
Das Praktikum wird in hybrider Form (Einheiten in Präsenz vor Ort und digital) durchgeführt.
UPDATE: Für die Teilnahme an den Präsenzeinheiten im Rahmen des Praktikums ist ab 21.4.2021 der Nachweis einer gültigen, negativen Covid-19 Testung verpflichtend. Weitere Details zu den Tests und ihrer Anerkennung finden sie unter:
https://studieren.univie.ac.at/lernen-pruefen/vor-ort-studieren/#c716142
Information
Aims, contents and method of the course
Assessment and permitted materials
Continuous evaluation of the course work, report and talk.
Minimum requirements and assessment criteria
Minimum requirements for a positive assessment is the continuous participation, preparation of reports and giving a talk.The assessment is done according to a point system. Based on the maximum possible number of points, grading is performed according to the following scale:
Grade 1: 100.00% - 87.00%
Grade 2: 86,99% - 75,00%
Grade 3: 74.99% - 63.00%
Grade 4: 62,99% - 50,00%
Grade 5: 49.99% - 0.00% (insufficient).
Grade 1: 100.00% - 87.00%
Grade 2: 86,99% - 75,00%
Grade 3: 74.99% - 63.00%
Grade 4: 62,99% - 50,00%
Grade 5: 49.99% - 0.00% (insufficient).
Examination topics
Modern microscopical methods in Materials Physics.
Reading list
Literature is available in the Moodle course
Association in the course directory
M-VAF A 2, M-VAF B
Last modified: Tu 04.05.2021 14:08
The practical class includes three different subjects of modern microscopy: Electron Microscopy, Scanning Probe Microscopy and Optical Microscopy with Digital Image Processing.