- 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")
Readings/Bibliography
- Materials and bibliographic references supplied by the teacher
Suggested course book
- Data Science from Scratch, Joel Grus, O’Reilly Media, 2019 early edition freely available (previous edition 2015). Italian edition 2021, Data Science con Python. Dai Fondamenti al Machine Learning. Scientific Editor Gianluca Moro. Published by EGEA.
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
https://virtuale.unibo.it/course/view.php?id=37961
Office hours
See the website of Gianluca Moro
See the website of Roberto Pasolini