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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:20210925T115322Z
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\nIn this block\, we will refresh some of the
basic concepts of Bayesian inference and introduce the algorithms and too
ls that can be used to implement analyses. The main lecturer is Johannes B
uchner. The course content can be found in this GitHub repository.\n\nTopi
cs covered:\n\n\n Refresher on Bayesian inference for parameter estimation
and model comparison\n Parameter uncertainties\, degeneracies and knowled
ge updates\n Modern Monte Carlo algorithms for Bayesian inference in pract
ice:\n \n Importance Sampling\n Markov Chain Monte Carlo\n Nested Sampl
ing\n \n \n Modern probabilistic computation packages\n\n\nBlock II: Baye
sian workflow\n\nSeptember 13th - 15th 2021\n\nIn this block\, we will dem
onstrate how to apply the above methods to realistic problems and deal wit
h common issues that may arise. The main lecturer is Francesca Capel. The
course content can be found in this GitHub repository.\n\nTopics covered:\
n\n\n Going from a science question to a statistical model\n Defining sens
ible priors for your problem\n Diagnosing problems in models and computati
on\n Verification of a statistical model through simulations\n Experiment
design\n Model comparison\n\n\nExpected prerequisites\n\nWe expect student
s following the course to have a basic understanding of Bayesian probabili
ty theory and a good grasp of python and Jupyter notebooks\, which will b
e used for the tutorial sessions.\n\nStart here: Enter the course\, instal
l software\n\nTimetable\n\nThe course runs from Monday to Wednesday each
week with the following schedule:\n\nMorning session 10:00 - 12:00 \n\
nAfternoon session 14:00 - 16:00\n\nThese sessions are a mix of lectures
and interactive coding tutorials. We will include some short breaks within
the 2 hours.\n\nRegistration\n\nTo register\, click on the button below.
If you want to register for ECTS credits through the TUM\, you must also
register in TUMonline (simply search for each block course by its name).
\n\nReport and forms of credit\n\nThe course content includes exercises\,
homework exercises and a homework project which can be completed for point
s. We also encourage your active participation in the course\, and further
points for speaking up and interacting in the zoom sessions.\n\nTotal po
ints available for each block course:\n\n\n Finding mistakes: 5 \n Acti
ve in class: 50\n Exercises: 150\n Homework exercises: 300\n Homework proj
ect: 200 \n\n\nOutside of class\, points will be counted based on a repor
t to be submitted for each block course in .pdf format. The report should
clearly state the problems you are attempting\, along with code snippets
and plots to show your working and solutions. The deadline to hand in you
r report is September 30\, 2021. \n\nIt is possible to get a certificati
on or ECTS points for participation in the block courses:\n\nTo get a Cer
tificate of Participation\, you need at least 100 points in each block cou
rse (i.e. at least 100 points in the first block and 100 points in the sec
ond block course). The certification will state that you have successful
ly completed the block course in the respective topic. \n\nTo get the 3
(LMU) ECTS points\, you need at least 300 points in each block course (i.e
. 300 points in the first and 300 in the second block). \n\nTo get the 5
(TUM) ECTS points\, you need at least 500 points in each block course (i.e
. 500 points in the first and 500 in the second block).\n\nParticipants wh
o do not want a certificate or ECTS credits are not required to turn in a
report\, but are allowed to do so.\n\nReceiving ECTS via the TUM or LMU\n
\nTUM: Students may obtain 5 ECTS by registering on TUMOnline (see Regist
ration above).\n\nLMU: Students in Physics may obtain 3 ECTS as an electiv
e subject from\nthis course. Please follow the directions at\nhttps://www.
physik.lmu.de/en/studies/examination-office/index.html#st_accordion__maste
r_6\nfor a recognition of the credits.\n\nZoom information\n\nThe Zoom mee
ting link for Block I will be shared after this questionnaire prior to th
e start of the course.\n\nThe Zoom meeting link for Block II is:\n\nhttps:
//tum-conf.zoom.us/j/69369605092\n\nMeeting ID: 693 6960 5092\n\nPasscode:
357226\n\n \n\nThe course lectures will be recorded. If you have any ob
jections to this\, please contact us directly. We will make the recordings
of the lectures available online (see below).\n\nLecture recordings\n\nBl
ock I: At this link\n\nBlock II: At this link\n\n \n\n \n\n \n\nhttps:/
/indico.ph.tum.de/event/6875/
LOCATION:
URL:https://indico.ph.tum.de/event/6875/
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