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\begin{document}

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\begin{center}
\LARGE{Leopold-Franzens Universität Innsbruck\\
Fakultät für Mathematik, Informatik und Physik}\\[3ex]
\large{Institut für Informatik}
\end{center}
\medskip

\begin{center}
\begin{tabular}{c c}
\hspace{-1.5cm}\includegraphics[height=3cm]{uibk_logo.jpg} &
\includegraphics[height=3cm]{EdgeAI_logo.png}
\end{tabular}
\vspace{1.5cm}


\textbf{\LARGE{Bachelorarbeit}}
\medskip\par
\textbf{\normalsize{zur Erreichung des akademischen Grades}} \\[3ex]
\textbf{\Large{Bachelor of Science}}
\vspace{2cm}

\textbf{\Large{Title of the work}}
\bigskip\par
von \par
\large{Student's Name}\\
(Matr.-Nr.: 0123456789)
\end{center}
\vspace{1cm}

\begin{tabular}{ll}
  Submission Date:  & \today \\
  Supervisor: & Max Mustermann, BSc MSc \\
\end{tabular}

\newpage
\setcounter{page}{1}
\pagenumbering{arabic}

\chapter*{Zusammenfassung}
\addcontentsline{toc}{chapter}{Zusammenfassung}

\begin{otherlanguage*}{english}
\end{otherlanguage*}


\chapter{Einleitung}
Goes here...

\chapter{Literatur Recherche}
Some citation \ldots \cite{karle2017semantify}.

\newpage
\chapter{Technologien}

\section{Graphbasierte Machine-Learning-Pipeline}
Graphbasierte Machine-Learning-Modelle nutzen Knoten und Kanten, um Beziehungen und Abhängigkeiten in Daten effizient zu erfassen und zu analysieren.

\begin{figure}[h]
	\centering
	\includegraphics[width=\textwidth]{images/Graph.png}
	\caption{Machine-Learning-Pipeline auf Graphen.}
	\label{fig:graph_pipeline}
\end{figure}

\newpage
\chapter{Umsetzung und Implementierung}
Lorem ipsum


\newpage
\chapter{Limitierungen}
Lipsum \ldots

\chapter{NodeJS Tool}

\newpage
\chapter{Zusammenfassung und Ausblick}

\newpage

%
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% ^.

\bibliographystyle{agsm} %apalike
\bibliography{literatur}


\end{document}
