نظرة عامة على البرنامج

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

Instructors

• Anna Monreale
• Francesca Naretto

News

• Lecture of the first week will be canceled, so they will start on 22nd September 2025
• All Students must fill the document for exam information

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

Office Hours

• 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)

Learning Material

Textbook

• Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Introduction to Data Mining. Addison Wesley, ISBN -7, 2006
• Jake VanderPlas. Python Data Science Handbook: Essential Tools for Working with Data. 1st Edition

Slides

• The slides used in the course will be inserted in the calendar after each class

Past Exercises and Past Exams of Similar Courses

• Exercises on Clustering: ex._clustering.pdf
• Exercise for DT learning simulation: dt-learning-simulation.pdf learnedtree.pdf
• Some text of past exams of a similar course: 2017-1-19.pdf, 2017-9-6.pdf, -dm1-seconda.pdf, dm2solutions.pdf

Software

• Python - Anaconda (at least 3.7 version)
• Scikit-learn: python library with tools for data mining and data analysis
• 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

Class Calendar (2025/2026)

First Semester

Exams

The exam consists of:

• a group project (in teams of two or three)
• an oral exam that includes a discussion of the project and an assessment of the theoretical knowledge acquired

Alternatively, students who do not complete or submit the project within the established deadlines will be required to take a written exam and an oral exam covering all course topics.

Project

A project consists in data analyses based on the use of data mining tools. The project has to be performed by a team of 2 max 3 students. It has to be performed by using Python. The guidelines require to address specific tasks. Results must be reported in a unique paper. The total length of this paper must be max 25 pages of text including figures.

Deadline

January 5th, 2026

Delivery Instructions

The final deadline of the project is 5th January 2026 at 23:59. This deadline is STRICT. No extension is possible because then the winter session of exams starts. Groups that will not deliver the project by 5th January will need to do the written exam during the exam sessions. Each group must deliver by email a zipped folder named DM_GroupID.zip and containing 4 folders and 1 pdf file.

Previous Years

Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2024/2025