Advanced Data Analysis

Course objectives

After taking this course, you have acquired knowledge and understanding of:

- the formulation of research proposals, including design, methodology, procedure and data analysis

- advanced issues in computational methods, specifically: data modeling and visualization; machine learning; text analysis.

Additionally, you have acquired the competences to:

- conduct advanced analyses in computational research and analytical

methods, including: data modelling and visualization; text analysis; machine learning.

Moreover, you will be able to:

- reflect critically on the validity and scientific and societal relevance of text and data analysis results.

Finally, you will have acquired the skills to:

- Communicate the results of data analysis in a clear and accurate way

to an academic audience using appropriate visualizations in a written report and oral presentation.

Each week, students will participate in four meetings, for which attendance will be required:

- An interactive lecture introducing the main methodology taught in that week;

- Two computer practicals in which students practice the main techniques

and work on their assignments;

- A closing workshops where students present their (draft) assignments and give each other feedback.

See the daily schedule at the end of this document for more information.