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lecture and readme: Pushed the basic updates (dates/lecturers) for 20…
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@@ -46,3 +46,4 @@ __pycache__ | |
# Other files | ||
*.db | ||
*.cspell/ | ||
.DS_Store |
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@@ -1,25 +1,4 @@ | ||
\begin{frame}{Who? - Lecturers} | ||
%Melanie Bianca Sigl | ||
\begin{columns}[T] | ||
\begin{column}{0.2\textwidth} | ||
\vspace{-1em} | ||
\begin{figure}[T] | ||
\centering | ||
\includegraphics[width=0.55\textwidth]{img/melanie_b_sigl.jpg} | ||
\end{figure} | ||
\end{column} | ||
\begin{column}{0.8\textwidth} | ||
\textbf{Melanie Bianca Sigl, M.Sc.} | ||
\begin{itemize} | ||
\item External Ph.D. candidate at Computer Science 6 (Data Management) | ||
\item Managing Consultant at PRODATO Integration Technology GmbH | ||
\item E-Mail: \texttt{\href{mailto:[email protected]}{[email protected]}} | ||
\item Website: \url{https://www.cs6.tf.fau.eu/person/melanie-sigl/} | ||
\end{itemize} | ||
\end{column} | ||
\end{columns} | ||
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\vspace{2em} | ||
\begin{frame}{Who? - Lecturer} | ||
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||
%Dominik Probst | ||
\begin{columns}[T] | ||
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@@ -37,7 +16,7 @@ | |
\item Ph.D. candidate | ||
\item Computer Science 6 (Data Management) | ||
\item E-Mail: \texttt{\href{mailto:[email protected]}{[email protected]}} | ||
\item Website: \url{https://www.cs6.tf.fau.de/person/dominik-probst/} | ||
\item Website: \url{https://www.cs6.tf.fau.eu/dp} | ||
\end{itemize} | ||
\end{column} | ||
\end{columns} | ||
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@@ -69,6 +48,9 @@ | |
\item \textbf{Mandatory requirements:} | ||
\begin{itemize} | ||
\item Successful completion of the module \glqq Konzeptionelle Modellierung\grqq~(KonzMod) | ||
\begin{itemize} | ||
\item Or a similar course teaching the basics of databases and SQL | ||
\end{itemize} | ||
\end{itemize} | ||
\item \textbf{Useful prerequisites:} | ||
\begin{itemize} | ||
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@@ -100,15 +82,15 @@ | |
\vspace*{-1\multicolsep} | ||
\begin{multicols}{2} | ||
\begin{enumerate} | ||
\item Introduction {\color{gray} - D. Probst} | ||
\item Data {\color{gray} - M. B. Sigl} | ||
\item Preprocessing {\color{gray} - D. Probst} | ||
\item Data Warehousing {\color{gray} - M. B. Sigl} | ||
\item Mining Frequent Patterns {\color{gray} - D. Probst} | ||
\item Classification {\color{gray} - M. B. Sigl} | ||
\item Cluster Analysis {\color{gray} - D. Probst} | ||
\item Outlier Analysis {\color{gray} - M. B. Sigl} | ||
\item {\color{gray}Guest lecture by Dr. Katharina Strohriegl (Brose Fahrzeugteile GmbH Co. KG)} | ||
\item Introduction | ||
\item Data | ||
\item Preprocessing | ||
\item Data Warehousing | ||
\item Mining Frequent Patterns | ||
\item Classification | ||
\item Cluster Analysis | ||
\item Outlier Analysis | ||
\item {\color{gray}Guest lecture by ???} | ||
\end{enumerate} | ||
\end{multicols} | ||
\vspace*{-1\multicolsep} | ||
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@@ -169,32 +151,32 @@ | |
\begin{itemize} | ||
\item \textbf{Lecture} - Start in Calendar Week 16 (Today) | ||
\begin{itemize} | ||
\item Friday, 12:15 - 13:45 (H8) \\ | ||
{\color{gray}Lecturers: M. B. Sigl and D. Probst} | ||
\item Monday, 10:15 - 11:45 (H20) \\ | ||
{\color{gray}Lecturer: D. Probst} | ||
\end{itemize} | ||
\end{itemize} | ||
\end{column} | ||
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||
\begin{column}{0.5\textwidth} | ||
\begin{itemize} | ||
\item \textbf{Exercises} - Start in Calendar Week 18 | ||
\item \textbf{Exercises} - Start in Calendar Week 17 (Optional) | ||
\begin{itemize} | ||
\item Tuesday, 12:15 - 13:45 (0.031-113) \\ | ||
{\color{gray}Tutors: Lucas Weber} | ||
\item Wednesday, 12:15 - 13:45 (H4) \\ | ||
{\color{gray}Tutors: Supraja Ramesh} | ||
\item Thursday, 16:15 - 17:45 (H8) \\ | ||
{\color{gray}Tutors: D. Probst} | ||
\item Friday, 14:15 - 15:45 (H5) \\ | ||
{\color{gray}Tutors: M. B. Sigl and D. Probst} | ||
\item Monday, 16:15 - 17:45 (H4) \\ | ||
{\color{gray}Tutor: Dominik Probst} | ||
\item Tuesday, 12:15 - 13:45 (H18) \\ | ||
{\color{gray}Tutor: Lucas Weber} | ||
\item Wednesday, 08:15 - 09:45 (H4) \\ | ||
{\color{gray}Tutor: Anugya Sahu} | ||
\item Wednesday, 16:15 - 17:45 (H4) \\ | ||
{\color{gray}Tutor: Karan Pahlajani} | ||
\end{itemize} | ||
\end{itemize} | ||
\end{column} | ||
\end{columns} | ||
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\begin{block}{Registration for Exercises} | ||
Registration for exercises is mandatory to ensure an appropriate support to questions regarding setting of exercises should they arise. | ||
{\color{faured}Registration opens at April 21th, 14:00 o'clock via StudOn.} | ||
{\color{faured}Registration opens at April 15th, 12:00 o'clock via StudOn.} | ||
\end{block} | ||
\end{frame} | ||
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@@ -204,22 +186,22 @@ | |
\centering | ||
\begin{tabular}{|p{4em}|p{25em}|p{21em}|} | ||
\hline | ||
\rowcolor{faugray!62}\textbf{Calendar Week} & \textbf{Lecture} & \textbf{Exercise} \\ \hhline{*{3}{:=}:} | ||
\cellcolor{faugray!25}16 & Prologue + Introduction & \cellcolor{gray!50} \\ \hline | ||
\cellcolor{faugray!25}17 & Data & | ||
Introduction to python \& pandas {\color{gray}(optional)} \\ \hline | ||
\cellcolor{faugray!25}18 & \multirow{2}{*}{Preprocessing} & \multirow{3}{*}[-0.6em]{Data Analysis \& Data Preprocessing} \\ | ||
\cellcolor{faugray!25}19 & & \\ \hhline{|--|~|} | ||
\cellcolor{faugray!25}20 & \textcolor{gray}{Guest lecture (Brose Fahrzeugteile GmbH Co. KG)} +\newline Data Warehousing & \\ \hline | ||
\cellcolor{faugray!25}21 & \multirow{2}{*}{Frequent Pattern} & \cellcolor{gray!50} \\ \hhline{|-|~|-|} | ||
\cellcolor{faugray!25}22 & & \multirow{2}{*}{Frequent Pattern} \\ \hhline{|-|-|~|} | ||
\cellcolor{faugray!25}23 & \multirow{2}{*}{Classification} & \\ \hhline{|-|~|-|} | ||
\cellcolor{faugray!25}24 & & \multirow{3}{*}{Classification} \\ \hhline{|-|-|~|} | ||
\cellcolor{faugray!25}25 & \multirow{2}{*}{Cluster Analysis} & \\ \hhline{|-|~|} | ||
\cellcolor{faugray!25}26 & & \\ \hline | ||
\cellcolor{faugray!25}27 & \multirow{2}{*}{Outlier Analysis} & \multirow{2}{*}{Clustering} \\ \hhline{|-|~|} | ||
\cellcolor{faugray!25}28 & & \\ \hline | ||
\cellcolor{faugray!25}29 & \textcolor{gray}{Current Research at CS6 and Exam Q\&A} & \cellcolor{gray!50} \\ \hline | ||
\rowcolor{faugray!62}\textbf{Calendar Week} & \textbf{Lecture} & \textbf{Exercise} \\ \hhline{*{3}{:=}:} | ||
\cellcolor{faugray!25}16 & Prologue + Introduction & \cellcolor{gray!50} \\ \hline | ||
\cellcolor{faugray!25}17 & Data & | ||
Introduction to python \& pandas {\color{gray}(optional)} \\ \hline | ||
\cellcolor{faugray!25}18 & \multirow{2}{*}{Preprocessing} & \multirow{3}{*}[-0.6em]{Data Analysis \& Data Preprocessing} \\ | ||
\cellcolor{faugray!25}19 & & \\ \hhline{|--|~|} | ||
\cellcolor{faugray!25}20 & \textcolor{gray}{Guest lecture} +\newline Data Warehousing & \\ \hline | ||
\cellcolor{faugray!25}21 & \cellcolor{gray!50} & \cellcolor{gray!50} \\ \hline | ||
\cellcolor{faugray!25}22 & \multirow{2}{*}{Frequent Pattern} & \cellcolor{gray!50} \\ \hhline{|-|~|-|} | ||
\cellcolor{faugray!25}23 & & \multirow{2}{*}{Frequent Pattern} \\ \hhline{|-|-|~|} | ||
\cellcolor{faugray!25}24 & \multirow{2}{*}{Classification} & \\ \hhline{|-|~|-|} | ||
\cellcolor{faugray!25}25 & & \multirow{3}{*}{Classification} \\ \hhline{|-|-|~|} | ||
\cellcolor{faugray!25}26 & \multirow{2}{*}{Cluster Analysis} & \\ \hhline{|-|~|} | ||
\cellcolor{faugray!25}27 & & \\ \hline | ||
\cellcolor{faugray!25}28 & \multirow{2}{*}{Outlier Analysis \textcolor{gray}{+ Exam Q\&A }} & \multirow{2}{*}{Clustering} \\ \hhline{|-|~|} | ||
\cellcolor{faugray!25}29 & & \\ \hline | ||
\end{tabular} | ||
\end{frame} | ||
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@@ -228,7 +210,7 @@ | |
\begin{columns} | ||
\begin{column}{0.7\textwidth} | ||
\begin{itemize} | ||
\item Register at: \url{https://www.studon.fau.de/crs4941254_join.html} | ||
\item Register at: \url{https://www.studon.fau.de/crs5533883_join.html} | ||
\item Main source for resources. E.g.: | ||
\begin{itemize} | ||
\item Zoom access data | ||
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@@ -243,7 +225,7 @@ | |
\end{column} | ||
\begin{column}{0.3\textwidth} | ||
\begin{center} | ||
\qrcode{https://www.studon.fau.de/crs4941254_join.html} | ||
\qrcode{https://www.studon.fau.de/crs5533883_join.html} | ||
\end{center} | ||
\end{column} | ||
\end{columns} | ||
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\date[SS2023]{Summer semester 2023} | ||
\date[SS2024]{Summer semester 2024} |