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<p>A toda la comunidad,</p>
<p>a continuación les enviamos información sobre el <b>Curso de
Deep Learning y Aplicaciones en Física y Astronomía</b>. El
mismo estará a cargo del Dr. Clécio de Bom (profesor invitado por
la Dra. Analía Smith Castelli), y se dictará entre los <b>días 25
y 28 de septiembre</b>. Este curso ha sido organizado en el
marco de la designación del Dr. de Bom como Profesor Visitante de
la FCAG.</p>
<p>Atentamente,</p>
<p>Secyt-FCAG<br>
</p>
<p></p>
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<div class="moz-forward-container" align="center"><b>Introduction to
Deep Learning and Applications in Physics and Astronomy</b><b><br>
</b></div>
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<div align="center"><b>La Plata, Sept 25th to Sept 28th, 2023</b></div>
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<div>The aim of this course is to give a general and practical
introduction to Deep Learning tools and data treatment with a
focus on Astronomy and physics examples. We plan 4 classes,
and in addition, we plan to offer time for tutoring and
hands-on.<br>
<br>
To be approved in this course, the student will have 30 days
from Oct 5 to present a report with an application of AI
techniques presented in the course. All students will also
make a 5-10 minutes video describing the project and results.
We will organize a virtual meeting on a date to be determined
for presentation of the videos and discussion of all projects.<br>
<br>
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<div>Postdocs as well as PhD and undergraduate students of
Astronomy, Geophysics and Meteorology are welcome to attend
this course. Researchers are also welcome to attend but
priority will be given to postdocs and students.</div>
<div><br>
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<div>If you are interested in attending this course, please
contact Dr. Analía Smith Castelli (<a
href="mailto:asmith@fcaglp.unlp.edu.ar" target="_blank"
moz-do-not-send="true" class="moz-txt-link-freetext">asmith@fcaglp.unlp.edu.ar</a>).</div>
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<br>
<div style="text-align:center"><u>Program and Preliminary
Schedule of the Lectures</u></div>
<div><br>
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<div><b>Monday Sept 25 (Planetarium)</b><br>
<br>
<b>2:00 PM</b>. Lecture 1: Introduction to Artificial
Intelligence and Deep Neural Networks<br>
<b>3:10 PM</b>. Lab1: Introduction to python and Jupyter
notebooks, collab and neural Networks<br>
<br>
<b>Tuesday Sept 26 (Planetarium)</b><br>
<br>
<b>2:00 PM.</b> Lecture 2: Data preparation and training (PDF)<br>
<b>3:10 PM.</b> Lab2: Data exploration and preprocessing<br>
<br>
<b>Wednesday Sept 27 (Planetarium) <br>
</b><br>
<b>2:00 PM. </b>Lecture 3: Regression & Classification
with Deep Learning (PDF)<br>
<b>3:10 PM.</b> Lab3: Example applications in Astronomy and
Physics. Training Convergence<br>
<br>
<b>Thursday Sept 28 (Planetarium)</b><br>
<br>
<b>2:00 PM.</b> Lecture 4: Uncertainty and Segmentation<br>
<b>3:10 PM.</b> Lab4: Example applications in Astronomy and
Physics of uncertainty and segmentation.<br>
<br>
<b>Friday Sept 29 – Wednesday Oct 4 (IALP meeting room)</b><br>
<br>
<b>2:00 PM - 4:00 PM.</b> Projects Discussion<br>
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<div>---------------</div>
<div><font size="1">Dra. Analia Smith Castelli</font></div>
<div><font size="1">Investigadora Independiente -
CONICET</font></div>
<div><font size="1">Instituto de Astrofisica de La
Plata, UNLP-CONICET</font></div>
<div><font size="1">Facultad de Ciencias Astronomicas y
Geofisicas, UNLP</font></div>
<div><font size="1">Paseo del Bosque s/n, La Plata,
Buenos Aires, Argentina (B1900FWA)</font></div>
<div><font size="1">email: <a
href="mailto:asmith@fcaglp.unlp.edu.ar"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">asmith@fcaglp.unlp.edu.ar</a></font></div>
<div><font size="1">phone: +54 221 4236593 int. 1117</font></div>
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