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Mit 1.10.2022 ist die Fakultät für Physik in der TUM School of Natural Sciences mit der Webseite https://www.nat.tum.de/ aufgegangen. Unter Umstellung der bisherigen Webauftritte finden Sie weitere Informationen.

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Master Practical Course - Legal Data Analysis Lab (IN2106, IN4316)

Lehrveranstaltung 0000003916 im WS 2023/4

Basisdaten

LV-Art Praktikum
Umfang 6 SWS
betreuende Organisation Informatik 19 - Professur für Legal Tech (Prof. Grabmair)
Dozent(inn)en Matthias Grabmair
Termine

Zuordnung zu Modulen

weitere Informationen

Lehrveranstaltungen sind neben Prüfungen Bausteine von Modulen. Beachten Sie daher, dass Sie Informationen zu den Lehrinhalten und insbesondere zu Prüfungs- und Studienleistungen in der Regel nur auf Modulebene erhalten können (siehe Abschnitt "Zuordnung zu Modulen" oben).

ergänzende Hinweise The analysis of legal data/text and the design and development of systems that provide valuable functionality to legal practitioners pose various challenges. These include noisy raw data that must be carefully preprocessed, ill-defined tasks for which only small datasets exist and for which learning supervision and evaluation is difficult to obtain, and domain-specific information of various kinds that must be taken into account at many stages of the process.This lab course provides students with an opportunity to gain practical experience in working with legal data in small teams. The instructors will be offering projects centered around a research question/hypothesis. They will typically involve one or more datasets from a legal domain, one or more formal tasks, and one or more methods to be tried. Over the course of the semester, teams will develop an experimental system/prototype and evaluate it, thereby producing new insight about that hypothesis.After an initial introduction of the legal informatics topic, students will be matched into teams and assigned projects. Teams will meet with their project mentors regularly to present work updates, discuss progress, and define action items. At the end of three milestone intervals, teams will present their progress to the whole cohort and discuss all projects with their peers.
Links E-Learning-Kurs (z. B. Moodle)
Zusatzinformationen
TUMonline-Eintrag
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