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@@ -546,17 +546,24 @@ \subsubsection{Unit II --- Representation Learning for Microstructures
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
 \subsubsection{Unit III --- Learning from Processing Data (Weeks
-7--9)}\label{unit-iii-learning-from-processing-data-weeks-79}
+7--8)}\label{unit-iii-learning-from-processing-data-weeks-78}
 
 \paragraph{Week 7 -- Time-series and process
 monitoring}\label{week-7-time-series-and-process-monitoring}
 
-\emph{Lecture: Tuesday, 26.05.2026, 14:15-15:45 (cancelled -
-Pfingstdienstag) \textbar{} Exercise: Thursday, 28.05.2026, 16:15-17:45}
+\emph{Lecture: Tuesday, 26.05.2026, 14:15-15:45 (self-study ---
+Pfingstdienstag public holiday) \textbar{} Exercise: Thursday,
+28.05.2026, 16:15-17:45 (in class)}
 
 \textbf{Slides:}
 \href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit07_time_series/01_intro.html}{Open}
 
+\begin{quote}
+\textbf{Self-study lecture:} the Tuesday slot is cancelled
+(Pfingstdienstag). Work through the slide deck independently; the
+Thursday exercise runs in class and consolidates the material.
+\end{quote}
+
 \begin{itemize}
 \tightlist
 \item
@@ -584,62 +591,26 @@ \subsubsection{Unit III --- Learning from Processing Data (Weeks
   Real-time anomaly detection from processing history
 \end{itemize}
 
-\textbf{Exercise:}\\
-Predict a process outcome from time-series data using regression or
-simple RNNs.
+\textbf{Exercise:} Predict a process outcome from time-series data using
+regression or simple RNNs.
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
-\paragraph{Week 8 -- Generalization, robustness, and process
-windows}\label{week-8-generalization-robustness-and-process-windows}
+\paragraph{Week 8 -- Inverse problems and process
+maps}\label{week-8-inverse-problems-and-process-maps}
 
-\emph{Lecture: Tuesday, 02.06.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 04.06.2026, 16:15-17:45 (cancelled - Fronleichnam)}
+\emph{Lecture: Tuesday, 02.06.2026, 14:15-15:45 (in class) \textbar{}
+Exercise: Thursday, 04.06.2026, 16:15-17:45 (self-study --- Fronleichnam
+public holiday)}
 
 \textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit08_generalization_robustness/01_intro.html}{Open}
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit08_inverse_problems/09_inverse_problems.html}{Open}
 
-\begin{itemize}
-\tightlist
-\item
-  Sensitivity to noise and parameter drift.
-\item
-  Overfitting in process--property models.
-\item
-  Robustness as a design criterion.
-\end{itemize}
-
-\textbf{Summary:}
-
-\begin{itemize}
-\tightlist
-\item
-  Shift from raw performance to \textbf{model reliability}
-\item
-  Bias--variance tradeoff and generalization to factory-floor data
-\item
-  Robust validation: K-fold and stratified cross-validation on small
-  datasets
-\item
-  \textbf{Process robustness} via sensitivity analysis
-\item
-  \textbf{Process windows}: parameter regions insensitive to industrial
-  noise
-\end{itemize}
-
-\textbf{Exercise:}\\
-Analyze model robustness under perturbed process conditions.
-
-\begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
-
-\paragraph{Week 9 -- Inverse problems and process
-maps}\label{week-9-inverse-problems-and-process-maps}
-
-\emph{Lecture: Tuesday, 09.06.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 11.06.2026, 16:15-17:45}
-
-\textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit09_inverse_problems/09_inverse_problems.html}{Open}
+\begin{quote}
+\textbf{Self-study exercise:} the Thursday slot is cancelled
+(Fronleichnam). The exercise is provided for independent work; a
+solution is released afterwards.
+\end{quote}
 
 \begin{itemize}
 \tightlist
@@ -668,24 +639,26 @@ \subsubsection{Unit III --- Learning from Processing Data (Weeks
   operating regions
 \end{itemize}
 
-\textbf{Exercise:}\\
-Construct a simple ML-based process map; compare constrained vs
-unconstrained models.
+\textbf{Exercise:} Construct a simple ML-based process map; compare
+constrained vs unconstrained models.
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
-\subsubsection{Unit IV --- Uncertainty, Surrogates, and Automation
+\subsubsection{Unit IV --- Characterization, Automation, and Uncertainty
 (Weeks
-10--12)}\label{unit-iv-uncertainty-surrogates-and-automation-weeks-1012}
+9--11)}\label{unit-iv-characterization-automation-and-uncertainty-weeks-911}
 
-\paragraph{Week 10 -- ML for characterization
-signals}\label{week-10-ml-for-characterization-signals}
+\paragraph{Week 9 -- ML for characterization
+signals}\label{week-9-ml-for-characterization-signals}
 
-\emph{Lecture: Tuesday, 16.06.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 18.06.2026, 16:15-17:45}
+\emph{Lecture: Tuesday, 09.06.2026, 14:15-15:45 \textbar{} Exercise:
+Thursday, 11.06.2026, 16:15-17:45}
 
 \textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit10_characterization_signals/10_characterization_signals.html}{Open}
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit09_characterization_signals/10_characterization_signals.html}{Open}
+
+Companion deck (within Week 9): \textbf{Transformers for materials} ---
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit09b_transformers_for_materials/transformers_for_materials.html}{Open}
 
 \begin{itemize}
 \tightlist
@@ -714,19 +687,19 @@ \subsubsection{Unit IV --- Uncertainty, Surrogates, and Automation
   physics
 \end{itemize}
 
-\textbf{Exercise:}\\
-Apply PCA/NMF to spectral datasets; interpret components physically.
+\textbf{Exercise:} Apply PCA/NMF to spectral datasets; interpret
+components physically.
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
-\paragraph{Week 11 -- Automation in microscopy and
-characterization}\label{week-11-automation-in-microscopy-and-characterization}
+\paragraph{Week 10 -- Automation in microscopy and
+characterization}\label{week-10-automation-in-microscopy-and-characterization}
 
-\emph{Lecture: Tuesday, 23.06.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 25.06.2026, 16:15-17:45}
+\emph{Lecture: Tuesday, 16.06.2026, 14:15-15:45 \textbar{} Exercise:
+Thursday, 18.06.2026, 16:15-17:45}
 
 \textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit11_automation/11_automation.html}{Open}
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit10_automation/11_automation.html}{Open}
 
 \begin{itemize}
 \tightlist
@@ -759,14 +732,14 @@ \subsubsection{Unit IV --- Uncertainty, Surrogates, and Automation
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
-\paragraph{Week 12 -- Uncertainty-aware regression \& Gaussian
-Processes}\label{week-12-uncertainty-aware-regression-gaussian-processes}
+\paragraph{Week 11 -- Uncertainty-aware regression \& Gaussian
+Processes}\label{week-11-uncertainty-aware-regression-gaussian-processes}
 
-\emph{Lecture: Tuesday, 30.06.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 02.07.2026, 16:15-17:45}
+\emph{Lecture: Tuesday, 23.06.2026, 14:15-15:45 \textbar{} Exercise:
+Thursday, 25.06.2026, 16:15-17:45}
 
 \textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit12_uncertainty_gp/12_uncertainty_gp.html}{Open}
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit11_uncertainty_gp/12_uncertainty_gp.html}{Open}
 
 \begin{itemize}
 \tightlist
@@ -780,22 +753,22 @@ \subsubsection{Unit IV --- Uncertainty, Surrogates, and Automation
   Connection to materials acceleration platforms.
 \end{itemize}
 
-\textbf{Exercise:}\\
-Compare GP regression and NN ensembles for a process-parameter problem.
+\textbf{Exercise:} Compare GP regression and NN ensembles for a
+process-parameter problem.
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
 \subsubsection{Unit V --- Physics, Trust, and Synthesis (Weeks
-13--14)}\label{unit-v-physics-trust-and-synthesis-weeks-1314}
+12--13)}\label{unit-v-physics-trust-and-synthesis-weeks-1213}
 
-\paragraph{Week 13 -- Physics-informed and constrained
-ML}\label{week-13-physics-informed-and-constrained-ml}
+\paragraph{Week 12 -- Physics-informed and constrained
+ML}\label{week-12-physics-informed-and-constrained-ml}
 
-\emph{Lecture: Tuesday, 07.07.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 09.07.2026, 16:15-17:45}
+\emph{Lecture: Tuesday, 30.06.2026, 14:15-15:45 \textbar{} Exercise:
+Thursday, 02.07.2026, 16:15-17:45}
 
 \textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit13_pinns/13_pinns.html}{Open}
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit12_pinns/13_pinns.html}{Open}
 
 \begin{itemize}
 \tightlist
@@ -807,19 +780,19 @@ \subsubsection{Unit V --- Physics, Trust, and Synthesis (Weeks
   Failure modes of unconstrained models.
 \end{itemize}
 
-\textbf{Exercise:}\\
-Train a constrained model for a processing or characterization task.
+\textbf{Exercise:} Train a constrained model for a processing or
+characterization task.
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
 
-\paragraph{Week 14 -- Integration, limits, and
-reflection}\label{week-14-integration-limits-and-reflection}
+\paragraph{Week 13 -- Integration, limits, and
+reflection}\label{week-13-integration-limits-and-reflection}
 
-\emph{Lecture: Tuesday, 14.07.2026, 14:15-15:45 \textbar{} Exercise:
-Thursday, 16.07.2026, 16:15-17:45}
+\emph{Lecture: Tuesday, 07.07.2026, 14:15-15:45 \textbar{} Exercise:
+Thursday, 09.07.2026, 16:15-17:45}
 
 \textbf{Slides:}
-\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit14_reflection/14_reflection.html}{Open}
+\href{https://pelzlab.science/public_presentations/ml_for_characterization_and_processing/unit13_reflection/14_reflection.html}{Open}
 
 \begin{itemize}
 \tightlist
@@ -831,8 +804,20 @@ \subsubsection{Unit V --- Physics, Trust, and Synthesis (Weeks
   Where ML genuinely changes materials processing.
 \end{itemize}
 
-\textbf{Exercise:}\\
-Mini-project presentations and critical discussion.
+\textbf{Exercise:} Mini-project presentations and critical discussion.
+
+\begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}
+
+\paragraph{Week 14 -- Buffer, review, and mini-project
+work}\label{week-14-buffer-review-and-mini-project-work}
+
+\emph{Tuesday, 14.07.2026, 14:15-15:45 \textbar{} Thursday, 16.07.2026,
+16:15-17:45}
+
+No new material. Reserved as a buffer to absorb schedule slippage from
+the Week 7 / Week 8 public-holiday self-study sessions, for review of
+difficult topics on request, and for mini-project consultation and
+presentations.
 
 \begin{center}\rule{0.5\linewidth}{0.5pt}\end{center}