I will teach how to organize, transform, analyse and visualize data, as well as how to effectively communicate the outcomes of the workflow, with a strong focus on network data.

The course will be multi-task (learn, make, use, watch, glance, read, dig, listen; see more below) and multi-teacher (I will be assisted by other real and virtual teachers). Some basics in programming, linear algebra and matrix theory, and statistics are desirable.

Play

  1. A not-so-short introduction to the science of data
  2. Network science
  3. Communication

Task-tag legend

You will go through different tasks: learn, make, use, watch, glance, read, dig, listen. A legend is below:

Books

Download the bibliography

Datasets

Data challenges

Data challenges have 3 components:

The following are examples of data challenges you are invited to try:

  1. Are female dolphins more social than male dolphins? (markup, markdown)
  2. Which are the most powerful countries in the European natural gas market? (markup, markdown)
  3. Detect the most dangerous terrorists involved in Madrid train bombing attack of 2011 (markup, markdown)
  4. Discover the most interdisciplinary and autarchic disciplines in science (markup, markdown)
  5. Detect communities in a Karate club friendship network (markup, markdown)
  6. Attack the resilience of the Madrid train bombing terror network (markup, markdown)
  7. Are relationships among dolphins assortative by sex? And by degree? (markup, markdown)

Exam

The exam consists of a project and an oral exam. The project consists of two data challenges (see above some examples), one focused on data science and one focused on network science, chosen by the student.

The project must be done individually. It must use methods, languages and software tools seen during the course (not necessarily all, but most of them) in an integrated and fluent way. The project must contain:

All materials must be sent to the teacher at least one week before the date of the oral exam, using a ZIP archive, by e-mail if less than 10MB, or otherwise it must be saved on a server (for example WeTransfer) by sending the link to download it.

During the oral examination, students must discuss, in a maximum time of 30 minutes, the project using a presentation on a personal laptop. The presentation will be public. Both the project and the presentation skills will be evaluated.

The exams are set as per the academic calendar and will take place in Udine (typically in “Sala Riunioni” of Department of Mathematics, Computer Science and Physics).