Dear colleague,
Advanced Climate
Risk Education (ACRE) is pleased to invite researchers from
institutions in developing or economically disadvantaged
countries to express their interest in attending an advanced
commercial course on climate data analysis free of charge. The
original advertisment for the course (from the company Climate
Risk Analysis) and links are shown below.
If you are
interested, please complete and return the _expression_ of
interest form below:
ACRE is a
not-for-profit company dedicated to the professional education
in the area climate change, climate risk and climate protection.
It was founded in 2021 to contribute to SDGs 4 (Quality
Education) and 13 (Climate Action).
Many thanks and
best wishes
Dr. Manfred
Mudelsee
Managing Director,
Advanced Climate Risk Education gUG
=== Original
Inivitation from 24 Sep 2024 ===
Dear colleague,
Climate Risk Analysis invites you to its
Climate Risk Analysis invites you to its
51st Online
Course in Climate Time Series Analysis.
The major points you find below, and the full details are on the registration website.
The major points you find below, and the full details are on the registration website.
It would be great
if this course would be of interest to you or your students.
Thanks for
circulating this message, and sorry in case you receive it
several times.
Best wishes
Manfred
Dr. Manfred Mudelsee, CEO
=======================================================================
*Course*
51st Online Course in Climate Time Series Analysis, 20 to 24 January 2025 by Manfred Mudelsee
*Deadline for registration*
9 January 2025
*Twenty participants*
First come, first serve
*Course book, e-book version*
Mudelsee M (2014) Climate Time Series Analysis: Classical Statistical and Bootstrap Methods. Second edition. Springer, 454 pp. https://www.manfredmudelsee.com/book/index.htm
*Registration fee net price, no VAT*
Without e-book: 1140 EUR
With e-book: 1240 EUR
Best wishes
Manfred
Dr. Manfred Mudelsee, CEO
=======================================================================
*Course*
51st Online Course in Climate Time Series Analysis, 20 to 24 January 2025 by Manfred Mudelsee
*Deadline for registration*
9 January 2025
*Twenty participants*
First come, first serve
*Course book, e-book version*
Mudelsee M (2014) Climate Time Series Analysis: Classical Statistical and Bootstrap Methods. Second edition. Springer, 454 pp. https://www.manfredmudelsee.com/book/index.htm
*Registration fee net price, no VAT*
Without e-book: 1140 EUR
With e-book: 1240 EUR
*Registration
website*
*Registration
form*
*Flyer*
*Summary*
This Online Course in Climate Time Series Analysis is specifically tailored to the needs of PhD students and postdocs, who want to learn about an important combination of disciplines (climate change and time series analysis), but who have not had much exposure to in-depth statistical teaching. It will also attract professional researchers who wish to update their knowledge or learn new statistical techniques. We expect participants to come from a background in climatology, ecology, econometrics, environmental sciences, geosciences, hydrology, meteorology, chemistry, physics or other sustainability sciences.
We aim to be accessible to students at the beginning of their careers. We achieve this through an intensive online, chat-supported format combined with a repetitive, caring approach.
What makes it different from other online courses? First, the course provides videos that have been carefully designed, recorded and edited. You can watch the videos over and over again, pausing as necessary. You receive the course slides and can study them again. Second, daily chat sessions on a video platform throughout the course allow you to prepare questions in advance and get comprehensive answers. Third, proprietary software designed specifically to get the most out of "dirty" climate time series data will add to your arsenal of analytical tools. Fourth, the individual feedback period of one month after the course (via email and possibly an online meeting) preserves the interactive mode of shared data analysis, allowing you to go deeper into real applications — perhaps on your own data!
This Online Course in Climate Time Series Analysis is specifically tailored to the needs of PhD students and postdocs, who want to learn about an important combination of disciplines (climate change and time series analysis), but who have not had much exposure to in-depth statistical teaching. It will also attract professional researchers who wish to update their knowledge or learn new statistical techniques. We expect participants to come from a background in climatology, ecology, econometrics, environmental sciences, geosciences, hydrology, meteorology, chemistry, physics or other sustainability sciences.
We aim to be accessible to students at the beginning of their careers. We achieve this through an intensive online, chat-supported format combined with a repetitive, caring approach.
What makes it different from other online courses? First, the course provides videos that have been carefully designed, recorded and edited. You can watch the videos over and over again, pausing as necessary. You receive the course slides and can study them again. Second, daily chat sessions on a video platform throughout the course allow you to prepare questions in advance and get comprehensive answers. Third, proprietary software designed specifically to get the most out of "dirty" climate time series data will add to your arsenal of analytical tools. Fourth, the individual feedback period of one month after the course (via email and possibly an online meeting) preserves the interactive mode of shared data analysis, allowing you to go deeper into real applications — perhaps on your own data!
-- Dr. Manfred Mudelsee Managing Director Advanced Climate Risk Education gUG Kreuzstrasse 27 37581 Bad Gandersheim Germany
Telephone: +49 5563 9998140 Email: mudel...@acre.blue URL: https://www.acre.blue
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