Curriculum
The curriculum of the IMPRS consists of scientific/technical courses, soft-skills and transferable skills courses, and internal workshops.
Summer Semester 2022
Nanomaterials
Volker Strauss (MPIKG-CC)
- https://imprs.mpikg.mpg.de/academic-matters/summer-semester-2022/bidan-course
- Nanomaterials
- 2022-05-19T09:00:00+02:00
- 2022-05-19T11:00:00+02:00
- Volker Strauss (MPIKG-CC)
- What ws2122
- When May 19, 2022 from 09:00 AM to 11:00 AM (Europe/Berlin / UTC200)
- All dates May 19, 2022 from 09:00 AM to 11:00 AM May 20, 2022 from 09:00 AM to 11:00 AM Jun 02, 2022 from 09:00 AM to 11:00 AM Jun 03, 2022 from 09:00 AM to 11:00 AM Jun 09, 2022 from 09:00 AM to 11:00 AM Jun 10, 2022 from 09:00 AM to 11:00 AM There are 994 more occurrences.
- Where Humboldt University
- Contact Name Volker Strauss
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Physical Chemistry of Nanomaterials
Lukas Zeininger (MPIKG, CC)
- https://imprs.mpikg.mpg.de/academic-matters/summer-semester-2022/graef-course
- Physical Chemistry of Nanomaterials
- 2022-04-18T10:15:00+02:00
- 2022-04-18T11:45:00+02:00
- Lukas Zeininger (MPIKG, CC)
- What ws2122
- When Apr 18, 2022 from 10:15 AM to 11:45 AM (Europe/Berlin / UTC200)
- All dates Apr 18, 2022 from 10:15 AM to 11:45 AM Apr 19, 2022 from 10:15 AM to 11:45 AM Apr 20, 2022 from 10:15 AM to 11:45 AM Apr 21, 2022 from 10:15 AM to 11:45 AM Apr 25, 2022 from 10:15 AM to 11:45 AM Apr 26, 2022 from 10:15 AM to 11:45 AM There are 22 more occurrences.
- Where 2.25.F1.01 Uni Potsdam
- Contact Name Lukas Zeininger
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Please contact Lukas Zeininger for more information.
Introduction to Applied Statistics
Angelo Valleriani (MPIKG)
- https://imprs.mpikg.mpg.de/academic-matters/summer-semester-2022/statistics-course
- Introduction to Applied Statistics
- 2022-07-05T10:00:00+02:00
- 2022-07-05T16:00:00+02:00
- Angelo Valleriani (MPIKG)
- What ws2122
- When Jul 05, 2022 from 10:00 AM to 04:00 PM (Europe/Berlin / UTC200)
- All dates Jul 05, 2022 from 10:00 AM to 04:00 PM Jul 06, 2022 from 10:00 AM to 04:00 PM Jul 07, 2022 from 10:00 AM to 04:00 PM
- Where Online
- Contact Name Angelo Valleriani
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Statistics is a must-needed set of tools in experimental sciences. In almost every study, methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what analysis approach is needed in any particular case if one does not have an introductory level background in the matter. This compact course will cover a few of the fundamentals in statistics.
The course will cover methods for estimating means and proportions by defining and computing confidence intervals. We will discuss methods for hypothesis testing for means and proportions using rejection region, p-value and confidence interval approaches. We will see how to use simple non-parametric and resampling methods, including ANOVA and simple linear regression.
In this course, we won't cover much of the mathematics behind the statistics but focus on examples and intuition. The course won't refer to any particular software but people used to work with any given software are welcome to use it in order to solve the exercises.
Everyone interested is welcome to join. This course will be available online only and will be delivered live in a compact form, for three days in the row, five hours per day around end of February. Registration to attend this course is compulsory.