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SUMMARY:Origins Data Science Block Courses
DTSTART;VALUE=DATE-TIME:20200901T113000Z
DTEND;VALUE=DATE-TIME:20200910T160000Z
DTSTAMP;VALUE=DATE-TIME:20210121T135755Z
UID:indico-event-4491@indico.ph.tum.de
DESCRIPTION:The Origins Data Science Lab (ODSL) is organizing two block co
urses of three afternoons each on data science topics.\n\nEvery block will
take place on the afternoons from Tuesday to Thursday with the following
schedule:\n\n\n Lecture 13:30-14:30\n Tutorial 14:30-15:30\n Break 15:30-1
6:00\n Lecture 16:00-17:00\n Tutorial 17:00-18:00\n\n\nThe courses\, as we
ll as the tutorials\, will take place online. The tutorials will be organi
sed through breakout rooms\, each assigned to a tutor.\n\nThe course itsel
f\, as well as one tutorial will be recorded\, the other tutorials not. If
you have any objections to this\, please contact us directly. We will mak
e the recordings of the lectures available online until the deadline for t
urning in reports (see below). After that date\, the recordings will be re
moved and no longer be accessible.\n\nAll exercises will be made available
before the courses and the deadline to hand in the report is September 30
\, 2020.\n\nThe link to the zoom meeting for the block course is:\n\nhttps
://tum-conf.zoom.us/j/95071255523 (Password: 091395)\n\nAlso\, the recordi
ngs of the lectures and tutorial sessions will be made available at:\n\nht
tps://tum.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx?folderID=baec0
005-d578-486d-a315-ac2a009ce665\n\n \n\nBlock I (September 1-3): Intro
duction to Probabilistic Reasoning\n\nIn this course we will introduce the
basic concepts of reasoning under uncertainty. After a brief introduction
to probability theory and commonly used probability distributions\, we d
iscuss inference tasks with various probabilistic models. We conclude by o
utlining methods to approach more involved inference tasks through approxi
mation or sampling.\n\nLecturer: Jakob Knollmüller (jakob.knollmueller@tu
m.de)\n\nPrerequisites: Linear Algebra\, basic Analysis\, a programming la
nguage of choice\n\nSkills acquired: basics of probabilistic reasoning and
Bayesian inference\, probabilistic modelling\, model comparison\, approxi
mate inference\n\nBlock II (September 8-10): Introduction to Numerical Met
hods and Machine Learning\n\nThis course is focusing on methods for data p
rocessing\, optimization and machine learning. First we will learn the bas
ics of data decorrelation\, reduction and optimization algorithms. Based o
n these new skills\, we dive into machine learning topics\, such as clust
ering\, classification and regression with tree based algorithms and neura
l networks. In the last part deep learning models and different architectu
res will be introduced and explained.\n\nLecturer: Dr. Philipp Eller (phil
ipp.eller@tum.de)\n\nPrerequisites: Linear Algebra\, basic Analysis\, a pr
ogramming language of choice\n\nSkills acquired: basic data transformation
s\, knowledge in various optimization algorithms\, k-means clustering\, de
cision trees\, neural networks\, convolutional neural networks\, auto-enco
ders\, generative models\n\nForms of credit\n\nIt is possible to get a Cer
tification or ECTS points for participation in the Block Courses:\n\nTo ge
t 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 assig
ned during the course (tutoring session exercises) and get a passing grade
. The certification will be done on a course-by-course basis\, and will
state that you have successfully completed the Block Course in the respect
ive topic. Please register for the course in advance so we can estimate
how much work will be involved in the evaluation of the reports.\n\nTo get
the 3 ECTS points\, you will need to turn in solutions to all exercises f
or both Block Courses (tutoring + homework exercises) that will be offered
this year. The grade for the course will be based on the two sets of exer
cises\, and there will not be an additional exam. The deadline to hand in
the report is September 30\, 2020. Please register for the courses in adv
ance so we can estimate how much work will be involved in the evaluation o
f the reports.\n\nParticipants who do not want a certificate or points are
not required to turn in solutions\, but are allowed to.\n\nhttps://indico
.ph.tum.de/event/4491/
LOCATION:
URL:https://indico.ph.tum.de/event/4491/
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