Onlinekurs II: Introduction to Legal Data Science

• Ich finde die Ausgestaltung als Onlinekurs sehr innovativ und spannend, da man wirklich im Selbststudium arbeiten kann und völlig zeitund ortsunabhängig ist. Es fördert damit das autonome Lernen der Studierenden. Verglichen mit anderen Dozierenden an der RWF wirkt diese Ausgestaltung geradezu fortschrittlich. Die Benutzeroberfläche des Onlinekurses ist sehr angenehm und benutzerfreundlich. Einziger Verbesserungsvorschlag: die einzelnen Typos auf den Folien bzw. Videos noch zu verbessern;)
• I like the structure of the course: the videos for every section and the exercises at the end of them. It would've been great though, if the slides from the videos were available to download.
• It's online course and time-flexible, so I can arrange the schedule according to my own pace.
• maybe more information on the exam would be great, and in addition if there were like reminders a day before meetings, that there is a meeting that is voluntarily.
• Some videos contain quite a lot of information. I would personally prefer it if there were more videos that contain a little bit less information. Also, sometimes new functions are used without being properly introduced which makes it more difficult to understand them. I would also say, that the niveau of the videos and the exercises is quite different. Some exercises are rather easy, whereas others take a lot of time to complete. This is not an issue per se, I thought it might be of interest though.

All materials will be available on: Open edX
 

We will hold a kick-off meeting via Zoom on Wednesday, February 25, at 3:00 PM (CET) to introduce the course, set out the exam conditions, and answer any initial questions. The Zoom link for the meeting is provided on the course materials indicated above.

This online course aims to introduce students to legal data science and teach them competences in the statistical software R and basic statistics. The course is designed for law students who are interested in expanding their skillset to data science and intend to use these skills to conduct simple legal data science projects, for example as part of their master's thesis or dissertation.


The course is conducted solely online and will be self-paced.

Course structure:

• What is Legal Data Science?
• R Basics
• Analyzing Data and Data Visualization in R
• Descriptive Statistics in R
• Statistical Inference in R
• Linear regression in R
• Tidy Data
• Text as Data Basics

The students

• know how legal data science shapes legal science, jurisprudence and lawmaking;
• know basic concepts and methods of statistics;
• have basic data science skills in R;
• have the competence to carry out simple statistical analyses with legal data in R.

As the course is conducted online and using the statistical software R, students should have access to a notebook on which they can install the statistical software R and R Studio.

No programming skills necessary; all essential basics are taught in the course.

Online Course II does not build on Online Course I, so it can be taken independently.

For further information, contact the course staff (oc2@ius.uzh.ch).