13 June 2015
Introduction to Social and Biological Networks
Network analysis can be used to study how pathogens spread in contact networks, or how behaviors to counter illnesses diffuse in social networks. This course introduces some essential network concepts and covers the basics of the Python programming language to analyze networks and to simulate epidemiological processes.
Jukka-Pekka Onnela (Harvard School of Public Health)
Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. They will acquire familiarity with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.
Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest, so they can more effectively address problems in health research. They will gain knowledge in modern, advanced methods useful for health professionals engaged in clinical practice, research and teaching.
This course introduces some essential network concepts and covers the basics of the Python programming language to analyze networks and to simulate epidemiological processes.
EUR 1200: For University students: Registration before 31 March 2015 €1,200. After 31 March 2015 €1,400.
EUR 1350: Registration before 31 March 2015 €1,350. After 31 March 2015 €1,550.
A limited number of Scholarships are available for current university students. Scholarships cover the cost of tuition, for at most one week. The request to be considered for a scholarship should be communicated no later than March 1, 2015.