Summary

Data Science rapidly gains relevance in software teams. Data science methods facilitate analyzing and predicting different quality aspects of the software product, process, and usage by combining results from different data sources such as versioning systems, issue tracking systems or static code analysis in an efficient way.

Description

The course provides insights in using data science and Big Data technologies for data-driven software development. Furthermore, it shows software engineering processes and best practices for a specific type of software: Machine Learning based software systems.

Data of the activity

Sponsors:

International Doctoral School (EIDUAL)

Teaches:

Dr. Silverio Martínez, Polytechnic University of Catalonia.

Date:

December 1 to 3, 2021 Schedule: (to be confirmed) 9:00-13:00 Wednesday, 9:00-12:00 Thursday Friday.

Directed to:

Preference will be given to PhD students in Computer Science at the UAL, and then to the rest of the applications received, in order of arrival.

No. of hours:

10 hours

Place:

University of Almeria (room assignment pending)

No. of places:

Undetermined

Certificate:

Issued by the organizers of the event
Registration