====== Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2025/2026======
**Instructors:**
  * **Anna Monreale**
    * KDDLab, Università di Pisa
    * [[anna.monreale@unipi.it]]   
  * **Francesca Naretto**
    * KDDLab, Università di Pisa
    * [[francesca.naretto@unipi.it]]   



====== News ======

  * [08.09.2025] ** Lecture of the first week will be canceled, so they will start on 22nd September 2025**
====== Learning Goals ======
     * Fundamental concepts of data knowledge and discovery.
     * Data Types in Healthcare Data and Public Databases
     * Data understanding
     * Data preparation
     * Clustering
     * Classification
     * Rule-based methods
     * Outlier Detection
     * Time Series Analysis
     * Sequential Pattern Mining
====== Hours and Rooms ======

**Classes**

^  Day of Week  ^  Hour  ^  Room  ^ 
|  Monday   |   09:00 - 11:00  |  Room FIB PS4  | 
|  Tuesday  |  14:00 - 16:00    |  Room C  | 
|  Friday   |  11:00 - 13:00 |  Room FIB PS4  | 



**Office hours - Ricevimento:**
Anna Monreale: TBD - Online using Teams or in my Office (Appointment by email).
Francesca Naretto: TBD  - Online using Teams or in my Office (Appointment by email).


A [[https://teams.microsoft.com/l/team/19%3AaixkwjuGSoUvrBNsO88NiDZsr8C2yIucNEonmj8ssSY1%40thread.tacv2/conversations?groupId=bfaf6e19-deca-4d53-921c-65b44db73608&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams Channel]] will be used ONLY to post news, Q&A, and other stuff related to the course. The lectures will be only in presence and will **NOT** be live-streamed.
====== Learning Material -- Materiale didattico ======

===== Textbook -- Libro di Testo =====

  * Pang-Ning Tan, Michael Steinbach, Vipin Kumar. **Introduction to Data Mining**. Addison Wesley, ISBN 0-321-32136-7, 2006
    * [[http://www-users.cs.umn.edu/~kumar/dmbook/index.php]]
    * Chapters 4,6 and 8 are also available at the publisher's Web site.
  *  Jake VanderPlas. **[[http://shop.oreilly.com/product/0636920034919.do| Python Data Science Handbook: Essential Tools for Working with Data.]]** 1st Edition. 
  *  For Python Notions: {{ :magistraleinformatica:dmi:python_basics.ipynb.zip | Very basic notions on Python}} 


===== Slides =====

  * The slides used in the course will be inserted in the calendar after each class. Most of them are part of the slides provided by the textbook's authors [[http://www-users.cs.umn.edu/~kumar/dmbook/index.php#item4|Slides per "Introduction to Data Mining"]].
   

  
===== Software=====

  * Python - Anaconda (at least 3.7 version!!!): Anaconda is the leading open data science platform powered by Python. [[https://www.anaconda.com/distribution/| Download page]] (the following libraries are already included)
  * Scikit-learn: python library with tools for data mining and data analysis [[http://scikit-learn.org/stable/ | Documentation page]]
  * Pandas: pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [[http://pandas.pydata.org/ | Documentation page]]

 
====== Class Calendar (2025/2026) ======

===== First Semester  =====

^ ^ Day ^ Topic ^ Learning material ^ References  ^ Teacher ^
|1.  |  22.09  | Overview. Introduction to Data Analyics for DH  + Data Types | |Chap. 1 Kumar Book |Monreale |

====== Exams ======
TBD

====== Previous years =====
[[DAD 2024-2025]]