Update ddasp_exercise_slides.tex

Author: fs446

slides/ddasp_exercise_slides.tex

@@ -51,14 +51,14 @@
 %\newcommand{\tw}{0.73}
 
 % ===== titlepage info =====
-\title[DDASP \#24512 - Tutorial]%
-{Selected Topics in Audio Signal Processing\\(Data-Driven Methods in Signal Processing) \#24512}
+\title[Data-Driven \#24512 - Tutorial]%
+{Data-Driven Methods in Signal Processing \#24512}
 
 \author[Schultz, Spors]{%
     \underline{\href{https://orcid.org/0000-0002-3010-0294}{Frank Schultz}}, \href{https://orcid.org/0000-0001-7225-9992}{Sascha Spors}}
 
-\date[Winter Term 2023/24]{%\raisebox{0mm}{\includegraphics[width=4.6cm]{logo.png}}\\
-  Exercise -- Winter Term 2023/24\\
+\date[Winter Term 2024/25]{%\raisebox{0mm}{\includegraphics[width=4.6cm]{logo.png}}\\
+  Exercise -- Winter Term 2024/25\\
   \tiny \url{https://github.com/spatialaudio/data-driven-audio-signal-processing-exercise}}
 
 \institute[]{Research Group Signal Processing and Virtual Acoustics\\
@@ -112,16 +112,17 @@
 \begin{frame}{Literature}
   check textbooks in our main library (check free ebook access within uni VPN)
   \begin{itemize}
-    \item \href{https://find.ub.uni-rostock.de/sk830}{SK830...SK840 statistics, (generalized) linear models, regression}
     \item ST 285...ST 306 machine learning, artifical intelligence, neural networks
+    \item \href{https://find.ub.uni-rostock.de/sk830}{SK830...SK840 statistics, (generalized) linear models, regression}
     \item QH 212...QH 236 statistics mainly for economy, (generalized) linear models, regression
   \end{itemize}
   \vspace{1cm}
   highly recommended textbooks / I like very much
   \begin{itemize}
-    \item K. P. Murphy (2022): "Probabilistic Machine Learning: An Introduction", MIT Press, 1st. ed.
+    \item K. P. Murphy (2022): "Probabilistic Machine Learning: An Introduction", MIT Press, 1st ed.
     \href{https://probml.github.io/pml-book/book1.html}{current draft as free pdf}
     \item \href{https://math.mit.edu/~gs/}{G. Strang} (2019): "Linear Algebra and Learning from Data", Wellesley, 1st ed.
+    \item S. Raschka, Y. Liu, V. Mirjalili (2022): "Machine Learning with PyTorch and Scikit-Learn", Packt, 1st ed.
   \end{itemize}
 \end{frame}