72796 - Data Intensive Applications

Academic Year 2022/2023

  • Docente: Gianluca Moro
  • Credits: 6
  • SSD: ING-INF/05
  • Language: Italian
  • Moduli: Gianluca Moro (Modulo 1) Roberto Pasolini (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Cesena
  • Corso: First cycle degree programme (L) in Computer Science and Engineering (cod. 8615)

Learning outcomes

At the end of the course the student is able to design and develop intelligent applications of corporate interest by processing structured and unsctructured data with modern data science methods and fundamental machine learning technologies.

Course contents

The course covers the fundamentals of machine learning from basic algorithms to neural networks for developing AI applications in python.

Course Content Details


Lectures and Laboratories

course web site (https://virtuale.unibo.it/course/view.php?id=37961)

The material view does not require the enrolment to the course (in this case access the course web site selecting "spontaneous registration")


  • Materials and bibliographic references supplied by the teacher

Suggested course book

Teaching methods

Lectures are followed by aided laboratory practicals on real case studies.

Assessment methods

Group work with individual oral discussion.

Teaching tools

  • slides of lectures and laboratory practicals available in advance
  • python and jupyter open source technologies fully available in the school laboratories
  • aided laboratory activities linked also to open cloud computing such as colab or binder to perform them online remotely
  • example of a laboratory practical available with colab

Links to further information


Office hours

See the website of Gianluca Moro

See the website of Roberto Pasolini