Practical training: 5.04.632 Basic Laboratory II - Details

Practical training: 5.04.632 Basic Laboratory II - Details

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General information

Course name Practical training: 5.04.632 Basic Laboratory II
Subtitle
Course number 5.04.632
Semester SoSe2020
Current number of participants 26
expected number of participants 60
Home institute Institute of Physics
Courses type Practical training in category Teaching
Preliminary discussion Thursday, 17.09.2020 10:00 - 12:00
First date Thursday, 23.04.2020 09:00 - 13:00, Room: (Labore in Emden)
Type/Form
Pre-requisites Basic Laboratory I
Learning organisation 16.04.20: 10-16 s.t. Introduction Session all groups
Thursday, 9-13 s.t., Group A
Thursday, 14-18 s.t., Group B

If wanted please arrange in groups of three students with two international and one German.
Final reliable arrangement at the introduction session.
Performance record Successful execution, short colloquium, and record keeping of 11 experiments in groups of 2-3 students.
Lehrsprache englisch
ECTS points 4

Rooms and times

(Labore in Emden)
Thursday: 09:00 - 13:00, weekly (12x)
Thursday: 14:00 - 18:00, weekly (12x)
(BBB, check "Meetings")
Thursday, 23.04.2020 15:00 - 17:00
(BBB)
Thursday, 17.09.2020 10:00 - 12:00
No room preference
Monday, 21.09.2020 09:00 - 13:00
Monday, 21.09.2020 14:00 - 18:00
Wednesday, 23.09.2020 09:00 - 13:00
Wednesday, 23.09.2020 14:00 - 18:00
Friday, 25.09.2020 09:00 - 13:00
Friday, 25.09.2020 14:00 - 18:00
Monday, 28.09.2020 09:00 - 13:00
Monday, 28.09.2020 14:00 - 18:00
Wednesday, 30.09.2020 09:00 - 13:00
Wednesday, 30.09.2020 14:00 - 18:00
Friday, 02.10.2020 09:00 - 13:00
Friday, 02.10.2020 14:00 - 18:00

Module assignments

Comment/Description

Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication.

Content:
Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • Admission locked.