30060 - Bio-Demographic Lab

Academic Year 2022/2023

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)

Learning outcomes

At the end of the course the student - knows how to integrate methodological knowledge with phenomenal interpretation - is able to carry out the various phases of statistical analysis of biodemographic phenomena - knows how to present the results of the analyzes carried out both in written and oral form

Course contents

  • Analysis and development of the various phases of statistical analysis of bio-demographic phenomena
  • Data acquisition and preparation
  • Graphical data visualization (relationship between variables, spatial and network data)
  • Use of the software R (commands and packages frequently used in the bio-demographic field)
  • Interpretation and presentation of descriptive analyses and statistical models

 

Readings/Bibliography

Quantitative Social Science: An Introduction. Kosuke Imai, Princeton University Press

https://press.princeton.edu/books/hardcover/9780691167039/quantitative-social-science

Fundamentals of Data Visualization, Claus O. Wilke

https://clauswilke.com/dataviz/

Data Visualization: A Practical Introduction. Kieran Healy, Princeton University Press Link

https://socviz.co/

Data Visualisation: A Handbook for Data Driven Design. Andy Kirk, Sage

https://uk.sagepub.com/en-gb/eur/data-visualisation/book266150

Other resources will be made available on Virtuale

Teaching methods

Lectures and hands-on in the lab

Non-attending students are asked to contact the teacher for specific indications regarding the materials.

Assessment methods

Preparation and presentation of a report (for more information contact the teacher)

Teaching tools

Computer lab; scripts and datasets will be made available on Virtual

Office hours

See the website of Saverio Minardi