Graphical Models and Network Science
People
Course director
Artico I.
Assistant
Description
This course is a rapid introduction to the statistical modeling of social, biological and economical networks. Emphasis will be on statistical methodology and subject-matter-agnostic models, rather than on the specifics of different application areas. No prior experience with networks is expected, but familiarity with statistical modeling is essential.
PREREQUISITES
Introduction to Computational Science, Introduction to Data Science
REFERENCES
- Eric D. Kolaczyk and Gábor Csárdi, Statistical Analysis of Network Data with R (Springer, 2014; available electronically through SpringerLink)
Education
- Master of Science in Computational Science, Elective course, Lecture, 1st year
- Master of Science in Computational Science, Elective course, Lecture, 2nd year
- Master of Science in Financial Technology and Computing, Core course, Lecture, 1st year
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (4.0 ECTS)
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (4.0 ECTS)
