Training

The 2nd IAA-CSIC Severo Ochoa School on Statistics, Data Mining and Machine Learning will be held in Granada, from Monday, November 29th, to Friday, December 3rd, 2021. This school will have a strong hands-on aspect and the participants will repeat and apply the learned lessons in practical exercises. The character of the lessons will be introductory, but the school will be directed towards researchers of all levels. Basic familiarity with Python and tools such as Jupyter Notebooks is strongly recommended. The tutors of the school will be Zeljko Ivezic (University of Washington, USA), Gwendolyn Eadie (University of Toronto, Canada), Daniela Huppenkothen (SRON Netherlands Institute for Space Research) and Abigail Stevens (Michigan State University/U. Michigan).

The IAA-SO Technological Pillar organizes  a course in 'Beckhoff Motion Control'. Along with an introduction to Beckhoff control systems, this course is mainly oriented to the control of different types of motors. The schedule is from 8:00 to 15:00 every day. The course, with a duration of 32 hours and which will be limited to 10 participants, will run as follows:

Day 1.
- Overview of Beckhoff products.
- Introduction to EtherCAT.
- Introduction to TwinCAT3.

Days 2-4.
- Motion Control. 
- TwinCAT Scope and OPC-UA.

This workshop is offered in collaboration with the University of Leipzig, Germany. In a total of 5 sessions of  2 lessons each, key aspects of the use of English for academic purposes will be highlighted and correct usage encouraged. Each lesson will have a length of 45 min.  For this purpose, both written skills, such as the scientific reporting of results and methods, and oral skills, such as pronunciation, presentation or scientific discussion, are trained. Participants will comprehensively expand their competence in the academic use of English. The course will cover the following topics: 
• Common Errors in Academic English
• Writing up Results and Methods in English
• Pronunciation Practice in English
• Academic Discussions in English
• Presenting your Academic Project in English

For optimal delivery and maximum outcome for participants, we will limit the number of students to 15. Registration is free. Given the limited number of participants we will give preference to PhD students and young researchers. In case you register, please make sure you can attend all sessions so that you do not block someone else’s slot. A solid knowledge of the English language as well as high motivation of the participants is a requirement because the course will be interactive. In case of over-subscription, interviews may be conducted with applicants to assess their level of English as a criterion for eligibility. If deemed a success, we plan to  offer future editions of this course (So, please do not worry in case you cannot participate in this round).

IAA-CSIC's Instrumental and Technological Development Unit (UDIT) has prepared an introductory course to the Ansys Workbench environment. Ansys is one of the most remarkable programs among finite element simulators. Workbench is the most modern and friendly environment to define the boundary conditions for its calculation engine. The course will deal with mechanical and thermal simulations, and will be very complete, from the very basics (Introduction to the interface, preparation of the model, boundary conditions, mesh....) up to concepts applied in rocket launch processes (Natural frequencies of vibration, random uploads and PSD. Upon completion, you will have all the tools and knowledge necessary to face any simulation.

Lessons will be held every Monday, Tuesday and Thursday from June 10th to July 1st, from 9:30 to 13:30.

This school will be tutorized by Dr. Jesús Mínguez Algarra

We are waiting for you!!

Introduction to high level sintesis tool Vivado HLS. This course shows sinthesis strategies, tool features, performance improvement, area optimization, interface creation, latency reduction testbench encoding, tricks and coding advices. It is updated to cover new tool features, and Vitis and Vivado HLx integration. The course will be limited to 15 participants.

Prerequisite: Vivado 2020.2 installed (Webpack version is enough) Please, note that in this course we will use Zybo and ZyboZ-20 development board (they will be provided for the organization). It is necessary to install Vivado HLS v2020.2. To  install the program, please go to:

https://www.xilinx.com/support/download.html

You have to register on the webpage to be able to access the download area. If your organization does not have license for Vivado 2020.2, please download the webpack version for your OS and select "Vitis" in the installation options. You're done!

In this course, I will introduce you to Matplotlib, a library for creating visualizations in Python. You will learn how to create, customize and save scientific plots. We will do several exercises to learn how to make Matplotlib fully meet our scientific needs, producing ready-to-be-published plots. We will connect via Zoom. During the first part of the course, we will do the exercises together following a Google Colaboratory notebook that will be shared in advance. During the second half, participants will work in small groups and will share their work with the whole audience.

The workshop will be tutorized by Ana Karla Díaz Rodríguez (UK ALMA Regional Centre Node, Jodrell Bank Centre for Astrophysics, The University of Manchester). It will have a duration of three hours and will be limited to 25 participants. In order to follow the sessions it will be necessary to have a Google account (to be able to run* the Google Colaboratory notebook).

Lectures will be scheduled at 10:00 - 10:45, 11:00 - 11:45, and 12:00 - 12:45

* Without a Google account, you will be able to see the notebook with the exercises but won't be able to execute the code on it or write your own code.

The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held as an online event at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada” and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the DaScI, one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research.

The lecturers will impart lessons on clear, concise and effective scientific writing and presentation. There will be theoretical and practical sessions. The number of participants will in principle be limited to 15 in order to assure adequate interaction and individualised attention. Inscription will be handled on a first come, first serve basis. This school will be tutorized by Dr. Rainer Schödel and Dr. Miguel Ángel Pérez Torres.

The course on gender analysis in research is organized by the equality commission of the IAA-CSIC, and is set up with the aim of achieving three different objectives. Firstly, it aims to improve the quality of our research by discovering and including the gender/sex perspective. At the same time, it is proposed to avoid further reproduction of sexist biases and thus promote gender/sex equality in the field of science. Finally, it tries to increase the possibilities and quality of the publication of articles and books derived from our research. The course will open with a lecture by Dr. Capitolina Diaz (UV), and will be held online tutored by Dr. Teresa Samper (UV).