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Large Language Models in Software Engineering - Einzelansicht

  • Funktionen:
  • Zur Zeit keine Belegung möglich
Veranstaltungsart Seminar Veranstaltungsnummer
SWS 2 Semester WiSe 2024/25
Einrichtung Institut für Informatik und Computational Science   Sprache englisch
Belegungsfrist 01.10.2024 - 10.11.2024   
Gruppe 1:
     Zur Zeit keine Belegung möglich
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine anzeigen
Seminar Di 10:00 bis 12:00 wöchentlich 22.10.2024 bis 04.02.2025  2.70.0.10 Devkate 24.12.2024: Akademische Weihnachtsferien
31.12.2024: Akademische Weihnachtsferien
Kurzkommentar

Moodle Link - https://moodle2.uni-potsdam.de/course/view.php?id=42951

Kommentar

In this seminar, students will actively engage through presentations and discussions on recent research exploring the applications and challenges of Large Language Models (LLMs) in various domains of software engineering. Each student will select a research paper either from a provided list or one of their choosing and present its findings. The focus will be on critically analyzing the capabilities, limitations, and potential pitfalls of LLMs, particularly in areas such as code understanding and generation, software testing and vulnerability detection, software requirement specification, and architectural design. After the presentation, students will have to submit an academic written report. 

Voraussetzungen

Students should have a basic understanding of software engineering concepts, typically gained through modules like Software Engineering 1. While prior knowledge of LLMs and their functionality is beneficial, students who do not have this background must be willing to acquire the necessary understanding of LLM concepts throughout the seminar.

Leistungsnachweis

In this seminar,

Each student will present a research paper either selected from a provided list or chosen independently, along with active participation in discussions. (30 minutes presentation + 10 minutes discussion)

This will be followed by the submission of a written report for evaluation. (approx 10 pages)

Lerninhalte

In this seminar The students will

  • Develop strong presentation skills, including the ability to simplify and explain technical terms and concepts for a broader audience.
  • Gain confidence in their ability to discuss, engage with, and respond to counter questions from their peers.
  • Improve their ability to adapt technical information into accessible content while maintaining academic rigor.
  • Are enabled to critically analyze research papers on LLMs, presenting complex software engineering topics in a clear and understandable way.

Strukturbaum
Die Veranstaltung wurde 2 mal im Vorlesungsverzeichnis WiSe 2024/25 gefunden:
Vorlesungsverzeichnis
Mathematisch-Naturwissenschaftliche Fakultät
Institut für Informatik und Computational Science
Bachelor of Science
Computational Science (Prüfungsversion ab WiSe 2019/20)
I. Grundlagenmodule Informatik/Computational Science
INF-6030 - Wissenschaftliches Arbeiten  - - - 1 offens Buch
Computational Science (Prüfungsversion ab WiSe 2013/14)
VI. Akademische Grundkompetenzen
Wissenschaftliches Arbeiten  - - - 2 offens Buch