Data Science

Justification
Individuals who graduate in Computer Science and Artificial Intelligence are able to apply their knowledge to solve problems in different areas related to information technologies, providing the most appropriate solutions in each case.

The main contribution of the subject Data Science to the Degree in Computer Science and Artificial Intelligence is the extraction, processing and extraction of valuable information from data. In particular, the subject emphasizes all the stages of a data-driven solution, from the establishment of objectives to the final evaluation.

The subject contributes to the development of the following competence of the degree:

CE-CD-02. To specify, design and implement a complete process of knowledge extraction from data in an organization, using methods of extraction, transformation, integration, analysis and visualization of results.

Subject competencies
CE-CD-02. To specify, design and implement a complete process of knowledge extraction from data in an organization, using methods of extraction, transformation, integration, analysis and visualization of results.

Course content
Modeling
Data Sources
Data, Attributes, Profiling and Visualization
Data Quality: Missing values, outliers
Data Integration
Special Data

EVALUATION SYSTEM

Next, the qualification scheme in which the relationship between the competences and the activities subject to evaluation is detailed is shown:

SPECIFIC COMPETENCES: 100% of the total rating

CE-CD-02

Assignments: 70%
Final Exam: 30%
In order to pass the subject it is obligatory to carry out all the deliveries associated with individual work. In addition, the following conditions must be met:

Exceed a minimum qualification (at least 50%) with the assignments.
After the delivery dates of the activities, there is the possibility of making a deferred delivery. Delivery with delay is associated with a cut in the rating proportional to the time of the delay. The student has the opportunity to recover up to 75% of the qualification associated with individual work and group work during the exam period. This recovery will be done by completing and correcting individual work or partial deliveries of group work (as necessary).

In the face of the extraordinary call, the same qualification scheme is maintained.