Description

This is a fundamental course that covers basic concepts on algorithms, data structures and databases. This course spans two different tracks: one for students who have a major in Computer Science and another track for the rest.
During the first weeks, the course is different for both tracks. For the former, it introduces students to CS-specific advanced topics for Data Science, while for the latter it requires the students to cover basic material on algorithms, data structures and databases in a guided, yet autonomous learning manner.

The last part of the course (corresponding to the last 5 weeks) is common and it is structured as project-based learning. A statement about an end-to-end Data Science project will be delivered and students will need to create the required software infrastructure, using adequate tools.

The objective is to help students get a rigorous and strong knowledge required by the following master courses (for students with a minor in CS) or investigate further CS-specific topics for Data Science (for students with a major in CS). Last, but not least, the course promotes adopting good habits when creating software projects for Data Science in the final project.