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            <title>Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2025/2026</title>
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            <description>Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2025/2026

Instructors:

	*  Anna Monreale
		*  KDDLab, Università di Pisa
		*  &lt;anna.monreale@unipi.it&gt;   

	*  Francesca Naretto
		*  KDDLab, Università di Pisa
		*  &lt;francesca.naretto@unipi.it&gt;   


News

	*  [08.09.2025] - Lecture of the first week will be canceled, so they will start on 22nd September 2025</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Tue, 20 Jan 2026 16:11:02 +0000</pubDate>
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            <title>Algorithms and data structures for data-intensive applications</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/digitalhealth/0002a</link>
            <description>Algorithms and data structures for data-intensive applications

Teacher: Paolo Ferragina e Giovanni Manzini

CFU: 9.

Language: English.

Degree: Informatics for Digital Health




Goals

The goal of this course is to enrich and strengthen the knowledge about basic algorithms and data structures, learned in undergraduate courses, with further models, methodologies, tools, and techniques to design, analyze, experiment, and improve solutions for managing massive datasets of multimodal types: integ…</description>
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            <pubDate>Tue, 09 Jul 2024 12:47:45 +0000</pubDate>
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            <title>Optimization for Health Care Systems</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/digitalhealth/0008a</link>
            <description>Optimization for Health Care Systems</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 12 Jul 2024 08:14:59 +0000</pubDate>
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            <title>0011a: Assistive Technologies</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/digitalhealth/0011a</link>
            <description>0011a: Assistive Technologies

Practical Info

	*  Pealse lokk at this site for the purpose, the recommended prerequisites, and the program.
	*  Course coordinator:  Stefano Chessa  Co-instructors:  Susanna Pelagatti ,  Barbara Leporini e Marco Righi.
	*  Office hours (ricevimento): by appointment (to be arranged via email)</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 16 Apr 2026 08:15:54 +0000</pubDate>
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            <title>Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2024/2025</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/digitalhealth/dad_2024-2025</link>
            <description>Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2024/2025

Instructors:

	*  Anna Monreale
		*  KDDLab, Università di Pisa
		*  &lt;anna.monreale@unipi.it&gt;   

	*  Francesca Naretto
		*  KDDLab, Università di Pisa
		*  &lt;francesca.naretto@unipi.it&gt;   


News

Learning Goals

	*  Fundamental concepts of data knowledge and discovery.</description>
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            <pubDate>Mon, 08 Sep 2025 15:42:40 +0000</pubDate>
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            <description>Prova</description>
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            <pubDate>Tue, 09 Jul 2024 08:12:15 +0000</pubDate>
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