270199 VO Bioinformatics II (2023S)
Computational Mass Spectrometry
Labels
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).
Details
Language: German
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
The lecture (1 teaching hour or SWS) starts at Thursday, March 2nd at 8:00am sharp, continues every Thursday until the end of June, and is located in lecture hall 4 (Hörsaal 4), Halbstock, Währinger Straße 42. No lecture due to public holidays will be on: April 6th, April 13th, May 18th, June 8th. Thus, the lecture contains 14 sessions in total.
Thursday
02.03.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
09.03.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
16.03.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
23.03.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
30.03.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
20.04.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
27.04.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
04.05.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
11.05.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
25.05.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
01.06.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
15.06.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
22.06.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Thursday
29.06.
08:00 - 10:00
Hörsaal 4 Chemie HP Währinger Straße 42
Information
Aims, contents and method of the course
In this course, the students will be introduced into basic bioinformatics concepts that arise from the challenges within the field of mass spectrometry with a focus on metabolomics, lipidomics, proteomics (MLP). After an introduction into mass spectrometry itself, the course will present a set of mechanism, methods, and computational necessities along with statistical approaches for data analysis and interpretation. This contains topics such as: peak picking, alignments, APIs, isotope correction, workflow systems, T-Tests with correction for multiple testing and statistical power, or database matching for identification.
Assessment and permitted materials
At the end of the lecture, the students need to pass a written exam. To successfully pass this course, the students need to obtain at least 50% of the points in the exam. Deception, or transcription of co-students is not tolerated and will be scored with 0 points.
Minimum requirements and assessment criteria
At least 50% of the maximum possible points must be achieved to obtain a positive grade. In total, 50 points can be achieved for this course from a written exam at the end of the course.
The grades are awarded according to the following scheme:
• 1 (very good): 50 – 45 points
• 2 (good): 44 – 39 points
• 3 (satisfactory): 38 – 32 points
• 4 (sufficient): 31 – 25 points
• 5 (insufficient): 24 – 0 points
The grades are awarded according to the following scheme:
• 1 (very good): 50 – 45 points
• 2 (good): 44 – 39 points
• 3 (satisfactory): 38 – 32 points
• 4 (sufficient): 31 – 25 points
• 5 (insufficient): 24 – 0 points
Examination topics
Reading list
Association in the course directory
CH-SAS-06
Last modified: Tu 11.07.2023 09:47