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Lehrende: Filippo Silano
Veranstaltungsart:
Vorlesung
Anzeige im Stundenplan:
Statistics for Lawye
Semesterwochenstunden:
2
Credits:
2,0
Unterrichtssprache:
Englisch
Min. | Max. Teilnehmerzahl:
5 | 20
Anmeldegruppe: englische FS-Veranstaltungen
Weitere Informationen:
Niveau B2
Kommentare/ Inhalte:
Statistics is the science of describing data and drawing inferences from them. This course’s commitment is to provide a solid introduction to the matter, aiming at endowing lawyers, prospective scholars, judges and policymakers with empirical methods functional to a deeper comprehension of legal phenomena.
In particular, lawyers, beyond applying positive jurisprudence, are potentially required to carry out statistical analysis to enhance the quality of their profession. Among others, the deployment of empirical tools might constitute the necessary condition to bring robust evidence at litigations and carrying out legal research on the impact of laws and regulation.
Ranging from a detailed overview of descriptive statistics and combinatorics to probability theory, the paramount Bayes’ theorem and inferential methods, this course provides a compelling introduction both to the matter’s principles and advances. From a legal standpoint, this class applies statistics to analyse both Common and Civil law cases, wherein empirical analysis covers a pivotal role in describing disputes.
Further, providing introductory tutorials in the programming language R, the class endeavours to embed theoretical statistical preparation in advances in data science.
Lernziel:
- Mastering the basics of statistics
- Providing an analytical mindset
- Interpreting paramount statistical indexes
- Applying probability distributions to legal/socio-economic issues
- Applying statistics to develop robust legal arguments
- Yielding skills functional to a private and public sector’s career
Vorgehen:
Being an undergraduate course, participants must not have prerequisites.
If you do not have R on your computer, please first install R 4.1.0 (link) and then the environment RStudio (link, please install RStudio Desktop).
Please note that R is freeware.
For any enquiries, please do not hesitate to contact me at the following e-mail adress: filippo.silano@uni-hamburg.de
Literatur:
The learning material upon which you are required to study are the slides.
The course is based upon the following texts:
Michael O Finkelstein and Bruce Levin, Statistics for Lawyers (Third Edition, Springer 2015)
Michael J Evan and Jeffrey S Rosenthal, Probability and Statistics – The Science of Uncertainty (Second Edition, Freeman 2010)
Zusätzliche Hinweise zu Prüfungen:
Students are required to pass a written examination taking place at the last scheduled lecture.
Further, absences must not exceed two lectures.
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