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SUMMARY:Practical Inference for Researchers in the Physical Sciences
DTSTART;VALUE=DATE-TIME:20210906T080000Z
DTEND;VALUE=DATE-TIME:20210915T140000Z
DTSTAMP;VALUE=DATE-TIME:20210620T091429Z
UID:indico-event-6875@indico.ph.tum.de
DESCRIPTION:Overview\n\nThe ORIGINS Data Science Laboratory is organising
the next set of block courses from September 6th - 15th 2021 on the them
e of Practical Inference for Researchers in the Physical Sciences.\n\nThe
idea with the block course format is to have two weeks of more intense le
ctures and tutorial sessions. With this course\, we want to focus on bridg
ing the gap between learning about Bayesian probability theory and the ac
tual application of these methods to realistic research problems. In this
way\, the course will be a mix of standard lectures as well as interactiv
e coding exercises.\n\nThe courses and tutorials are organised by Johanne
s Buchner and Francesca Capel. All sessions will be held online via Zoom.
Please register for the course using the link below and feel free to get
in touch if you have any questions.\n\nCourse content\n\nThis session con
sists of two one-week courses.\n\nBlock I: Monte Carlo inference methods\
n\nSeptember 6th - 8th 2021\n\nTopics covered:\n\n\n Introduction to Bayes
ian inference with physical models \n Parameter uncertainties\, degenerac
ies and knowledge updates\n Model comparison and criticism\n Modern Monte
Carlo algorithms for Bayesian inference in practice and probabilistic comp
utation packages: Importance Sampling\, Markov Chain Monte Carlo\, Nested
Sampling\n\n\nBlock II: Bayesian workflow\n\nSeptember 13th - 15th 2021\n
\nTopics covered:\n\n\n Bayesian reasoning\n Going from a science question
to a statistical model\n Defining sensible priors for your problem\n Veri
fication of a statistical model through simulations\n Diagnosing problems
in models and computation\n Robust decision making\n Experiment design\n\n
\nExpected prerequisites\n\nWe expect students following the course to hav
e a basic understanding of Bayesian probability theory and a good grasp o
f python and Jupyter notebooks\, which will be used for the tutorial sessi
ons.\n\nTimetable\n\nThe course will run from Monday to Wednesday each we
ek with the following schedule:\n\nLecture 10:00 - 12:00 \n\nTutorial 14:
00 - 16:00\n\nThe lectures will include short breaks and the tutorials wil
l be interactive coding sessions.\n\nRegistration\n\nTo register\, click o
n the button below. If you want to register for ECTS credits through the T
UM\, you must also register in TUMonline (simply search for each block co
urse by its name). \n\nForms of credit\n\nIt is possible to get a certifi
cation or ECTS points for participation in the block courses:\n\nTo get a
Certificate of Participation (for either one of the two blocks or both)
\, you will need to turn in solutions to the exercises that will be assign
ed during the course tutorial session and get a passing grade. The cert
ification will be done on a course-by-course basis\, and will state that y
ou have successfully completed the block course in the respective topic.
\n\nTo get the 3 (LMU) or 5 (TUM) ECTS points\, you will need to turn i
n solutions to all exercises (tutorial and homework) for both block cours
es. The grade for the course will be based on these exercises\, and there
will not be an additional exam. Due to the difference in credits\, the am
ount of work necessary for LMU and TUM students will be adjusted according
ly.\n\nAll exercises will be made available before the courses and the dea
dline to hand in the solutions is September 30\, 2021. Participants who d
o not want a certificate or ECTS credits are not required to turn in solu
tions\, but are allowed to do so.\n\nReceiving credit \n\nTUM: Students m
ay obtain 5 ECTS by registering on TUMOnline (see Registration above).\n\
nLMU: Students in Physics may obtain 3 ECTS as an elective subject from\nt
his course. Please follow the directions at\nhttps://www.physik.lmu.de/en/
studies/examination-office/index.html#st_accordion__master_6\nfor a recogn
ition of the credits.\n\nZoom information\n\nThe Zoom meeting links will b
e shared here prior to the start of the course.\n\nThe course itself\, as
well as one tutorial will be recorded\, the other tutorials not. If you ha
ve any objections to this\, please contact us directly. We will make the r
ecordings of the lectures available online until the deadline for turning
in reports (see below). After that date\, the recordings will be removed a
nd no longer be accessible.\n\nhttps://indico.ph.tum.de/event/6875/
LOCATION:
URL:https://indico.ph.tum.de/event/6875/
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