270036 PR Mass Spectrometry II (digital) (2025W)
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 Mo 01.09.2025 08:00 to We 15.10.2025 23:59
- Deregistration possible until We 15.10.2025 23:59
Details
max. 10 participants
Language: German
Lecturers
Classes
Preliminary meeting on October 16, 2025, 2:00 p.m. - 3:00 p.m. via Zoom (link will be sent by email).
Note: Some of the assignments must also be completed at home. Please take this into account when planning your workload.
03.11.2025, from 13:00 | Kleiner Hörsaal 4 (Halbstock, Währinger Straße 42)
04.11.2025, 12:30 - 15:30 | Kleiner Hörsaal 4 (Halbstock, Währinger Straße 42)
10.11.2025, from 12:30 | Seminarraum Köllensperger (Raum 2H41; Halbstock, Währinger Straße 42)
17.11.2025, from 12:30 | Seminarraum Köllensperger (Raum 2H41; Halbstock, Währinger Straße 42)Please bring a laptop or tablet to all sessions, at least one device per group of two!
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment criteria:
- Participation and practical work (continuous assessment)
- Group presentation on experimental design
- Written report
- Short debriefingPermitted aids:
Laptop, tablet, smartphone
- Participation and practical work (continuous assessment)
- Group presentation on experimental design
- Written report
- Short debriefingPermitted aids:
Laptop, tablet, smartphone
Minimum requirements and assessment criteria
Minimum requirements:
- Course with continuous assessment: compulsory attendance throughout the entire lab course (exceptions only with justified and timely excuse)
- Complete and timely submission of all assignments, including a written report
- Completion of all partial assignments by the end of the courseAssessment criteria:
- Active participation
- Quality of the presentation
- Quality of the report
- Quality of the debriefing
- Course with continuous assessment: compulsory attendance throughout the entire lab course (exceptions only with justified and timely excuse)
- Complete and timely submission of all assignments, including a written report
- Completion of all partial assignments by the end of the courseAssessment criteria:
- Active participation
- Quality of the presentation
- Quality of the report
- Quality of the debriefing
Examination topics
Debriefing: Review of understanding and plausibility check of results
Reading list
Will be discussed during the course, if needed.
Association in the course directory
CH-SAS-05, CH-SAS-06, CH-SAS-07, CH-SAS-08, LMC C1, LMC D1, BC-CHE II-1
Last modified: Mo 03.11.2025 17:07
- This lab course will be held exclusively in a seminar room, we will not go into any lab.
- Online teaching is only planned in the event of a pandemic or similar situation.
- Please bring a laptop or tablet to all sessions. If you do not have your own device, please form groups of two so that at least one laptop is available per group.Objectives:
Students will practice analyzing and interpreting extensive mass spectrometry data using a proteomics data set as an example.
By the end of the lab, they will be able to:
- describe and critically evaluate a typical bottom-up proteomics workflow (HPLC-MS) in technical terms,
- evaluate a given data set in a reflective manner using appropriate software,
- place results in a (biological) context, substantiate them with literature, and present them.Content:
- Fundamentals of HPLC-MS
- Bottom-up proteomics workflow, including quality assurance
- Proteomics software
- Statistics
- Literature research (classification of results)
- Scientific writing (protocol)Method:
The course consists of theoretical and practical units, supplemented by independent work by the students.
In the theoretical units, the necessary knowledge is conveyed through interactive lectures and live demonstrations.
In addition, students work independently and in small teams, e.g., on literature research, data evaluation, or specific tasks.