Hands-on sessions are integral part of the school program and refer to the practical application of the theoretical contents presented during the school lectures. They will include data processing using different software enviroments and the interpretation of the obtained results.
Hands-on sessions will be done in groups and give the possibility to participate to the hands-on award. Group creation will be done on the basis of the self-assessment survey that each participant should have filled by September 9th, 2023.
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Participation is mandatory.
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Shared material, including the list and composition of each team is available on this GitHub repository
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Each team should fill-in a daily report (Google form) with the result(s) of each hands-on session (link to the report provided during each hands-on session). Each Google form must be sent before midnight (only once for each group)
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Participation is optional.
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Each team should:
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Fill-in a daily report (Google form) with the result(s) of each hands-on session (link to the report provided during each hands-on session). Each Google form must be sent before midnight (only once for each group).
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Prepare a presentation following the 2023_GNB_School_Hands-on_template.pptx (on the GitHub repository). The presentation have to be sent to the following mail address before midnight of Wednesday 13th: gnbschool2023.bioengsport@gmail.com
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Each form will be assessed (0-10 pts) and the average of the 6 google forms will be calculated.
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Five teams will be selected as finalists and will present their work on Thursday afternoon. The presentation of each team will be 6-minutes long.
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Each presentation will be assessed by the Award Committee, constituted by prof. Burattini, prof. Camomilla and prof. Knaflitz. The three best teams will be awarded (1st 500€, 2nd 300€, 3rd 200€).
It is required to have a laptop in which all the following software enviroments/toolboxes/packages must be installed. IMPORTANT: Download and installation should be done before starting the hands-on sessions.
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MATLAB: We suggest using the release 2023a. “Signal Processing Toolbox” and “Image Processing Toolbox” are required.
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R & RStudio: “ https://github.com/irinagain/iglu ” package is required.
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Web software: http://www.oxynet.net.
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Python: We suggest using a recent Python version, such as Python 3.x, as many libraries and notebooks are exclusively compatible with this version.
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Jupyter Notebook or JupyterLab: You will need to have Jupyter Notebook or JupyterLab installed on your computer. You can install it using pip (if you are using Python 3.x) with the following commands: “pip install jupyterlab” or “pip install notebook”. Once installation is complete, you can launch Jupyter Notebook or JupyterLab by executing the commands
jupyter notebookorjupyter labfrom a terminal window. Libraries “mplsoccer” (https://mplsoccer.readthedocs.io/en/latest/) and “pandas” (https://pandas.pydata.org/) are required. -
If you don't have an appropriate Python version on your machine or encounter any issues accessing or using the free Google Colab resource, you can access it at: https://colab.research.google.com/.