Manfred Mudelsee
Dear colleague,
Climate Risk Analysis invites you to its
49th Intensive Online Course in Climate
Time Series Analysis.
This 49th version of the course introduces a new video (Module 15, Regression II, Tutorial) on unbiased paleo climate proxy calibration with a new software (LINCAL), all of which is based on a recent paper (Mudelsee 2023 Mathematical Geosciences https:/doi.org/10.1007/s11004-023-10122-5). Another outstanding feature is that the online course chats are offered twice a day. The other key points are listed below, and the full details can be found on the registration page. It would be great if this course was of interest to you or your students. Thank you for circulating this message, and sorry if you are receiving it more than once.
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*
49th Intensive Online Course in Climate Time Series Analysis, 3
to 7 June 2024 by Manfred Mudelsee
*Registration,
start*
3 April 2024
*Date
from which course materials are available to participants
who have successfully completed registration and payment*
3 May 2024
*Registration,
deadline*
24 May 2024
*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: 1400 EUR
With e-book: 1500 EUR
*Registration
website*
https://www.climate-risk-analysis.com/courses/time-series/49th-Online-Course-in-Climate-Time-Series-Analysis.html
*Registration form*
https://www.climate-risk-analysis.com/courses/time-series/49th-Course-Registration-Form.pdf
*Flyer 1200 dpi*
https://www.climate-risk-analysis.com/courses/time-series/49th-Course-Flyer-1200DPI.pdf
*Summary*
This Intensive 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 or physics.
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 two-way 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
three months 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!