Dear colleague,
Climate Risk Analysis invites you to its
43rd Online Course in Climate Time Series Analysis.
The major points you find below, and the full details are on the
registration website.
On basis of the feedback from previous courses: I am optimistic that
this course could be of interest to you or some of your students. Thanks
for circulating this message and sorry in case you receive it several times!
Best wishes
Manfred
Dr. Manfred Mudelsee, CEO
P.s.: Please let me know if I need to remove you from the course
invitation list.
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*Course*
43rd Online Course in Climate Time Series Analysis, 19 to 22 September
2022 by Manfred Mudelsee
*Deadline for registration*
9 September 2022
*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: 1200 EUR
With e-book: 1300 EUR
*Registration website*
https://www.climate-risk-analysis.com/courses/time-series/43rd-Online-Course-in-Climate-Time-Series-Analysis.html
*Registration form*
https://www.climate-risk-analysis.com/courses/time-series/43rd-Course-Registration-Form.pdf
*Flyer 2400 dpi*
https://www.climate-risk-analysis.com/courses/time-series/43rd-Course-Flyer.pdf
*Summary*
This
*Online Course in Climate Time Series Analysis* is specifically
tailored to the needs of PhD students and postdocs, who wish to learn
about an important combination of disciplines (climate change and time
series analysis), but have had so far not much exposure to in-depth
statistical teaching. It will also attract professional researchers, who
wish to update their knowledge or to learn new statistical techniques.
We assume that participants come from somewhere in the range of
climatology, ecology, econometrics, environmental sciences, geosciences,
hydrology, meteorology, or physics.
This online format has emerged in response partly to the Covid-19
situation (which started in 2020), but also to the general upward trend
in need of electronic high-level quality education.
What distinguishes this from other online courses? First, the course
provides videos that have been designed, recorded and edited with care.
You can go repeatedly through the videos and make breaks as you need.
You receive and can study again the delivered course slides. Second,
daily chat meetings via a video platform over the full course duration
allow you to prepare questions beforehand and get extensive response.
Third, own-developed software, specifically designed to get the most out
of "dirty" climate time series data, will enhance your arsenal of
analytical tools. Fourth, the individual feedback period of two months
post-course (via email and, possibly, online meetings) preserves the
interactive mode of joint data analysis, it allows to go in depth
through real applications — perhaps on your own data!
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