.latexmkrc

@@ -1,3 +1,4 @@
 $pdflatex="pdflatex -shell-escape -interaction=nonstopmode -synctex=1 %O %S";
 $out_dir = 'build';
 $pdf_mode = 1;
+

Makefile

@@ -1,25 +1,19 @@
 PRESENTATIONS := $(patsubst src/%/presentation.tex,build/presentation_%.pdf,$(wildcard src/*/presentation.tex))
 HANDOUTS := $(patsubst build/presentation_%.pdf,build/presentation_%_handout.pdf,$(PRESENTATIONS))
 
-RC_PDFLATEX := $(shell grep '$$pdflatex' .latexmkrc \
-	       | sed -e 's/.*"\(.*\)".*/\1/' -e 's/%S//' -e 's/%O//')
-
 .PHONY: all
 all: $(PRESENTATIONS) $(HANDOUTS)
 
 build/presentation_%.pdf: src/%/presentation.tex build/prepared
-	TEXINPUTS=./lib/cel-slides-template-2025:$(dir $<):$$TEXINPUTS \
-		latexmk -outdir=build/$* $<
-	cp build/$*/presentation.pdf $@
+	TEXINPUTS=./lib/cel-slides-template-2025:$$TEXINPUTS latexmk $<
+	mv build/presentation.pdf $@
 
 build/presentation_%_handout.pdf: src/%/presentation.tex build/prepared
-	TEXINPUTS=./lib/cel-slides-template-2025:$(dir $<):$$TEXINPUTS \
-		latexmk -outdir=build/$*_handout \
-		-pdflatex='$(RC_PDFLATEX) %O "\def\ishandout{1}\input{%S}"' $<
-	cp build/$*_handout/presentation.pdf $@
+	TEXINPUTS=./lib/cel-slides-template-2025:$$TEXINPUTS latexmk -pdflatex='pdflatex %O "\def\ishandout{1}\input{%S}"' $<
+	mv build/presentation.pdf $@
 
 build/prepared:
-	mkdir build
+	mkdir -p build
 	touch build/prepared
 
 .PHONY: clean

src/2026-01-16/presentation.tex

@@ -30,10 +30,7 @@
 \usepackage{tikz}
 \usepackage{tikz-3dplot}
 \usetikzlibrary{spy, external, intersections, positioning}
-
-\ifdefined\ishandout\else
-\tikzexternalize
-\fi
+%\tikzexternalize[prefix=build/]
 
 \usepackage{pgfplots}
 \pgfplotsset{compat=newest}
@@ -142,7 +139,7 @@
     \end{gather*}
     \vspace*{-2mm}
     \begin{gather*}
-        P_X(n) = \frac{\lambda^n}{n!}e^{-\lambda} \\[2mm]
+        P_X(k) = \frac{\lambda^k}{k!}e^{-\lambda} \\[2mm]
         \phi_X(s) = \text{exp}\left(\lambda (e^{js} -1)\right)
     \end{gather*}
     \vspace*{-2mm}
@@ -163,7 +160,7 @@
             \vspace*{-6mm}
             \begin{gather*}
                 X \sim \text{Poisson}(\lambda) \\[3mm]
-                P_X(n) = \frac{\lambda^n \cdot e^{-\lambda}}{n!} \\[4mm]
+                P_X(k) = \frac{\lambda^k \cdot e^{-\lambda}}{k!} \\[4mm]
                 \phi_X(s) = \text{exp}\left(\lambda (e^{js} -1)\right)
             \end{gather*}
         \end{greenblock}
@@ -171,7 +168,7 @@
             \vspace*{-6mm}
             \begin{gather*}
                 \nsum_{k=0}^{n} \binom{n}{k}a^k b^{n-k} = (a+b)^n, \hspace{15mm}
-                \binom{n}{k} = \frac{n!}{(n-k)!k!}
+                \binom{n}{k} = \frac{n!}{(n-k!)k!}
             \end{gather*}
         \end{greenblock}
         \column{\kitthreecolumns}
@@ -231,11 +228,11 @@
             zweier Zufallsvariablen.
             \pause\begin{gather*}
                 X \sim \text{Poisson}(\lambda_1) \hspace{3mm}
-                    \Leftrightarrow \hspace{3mm} P_X(n)
-                    = \frac{\lambda_1^n \cdot e^{-\lambda_1}}{n!} \hspace{30mm}
+                    \Leftrightarrow \hspace{3mm} P_X(k)
+                    = \frac{\lambda_1^k \cdot e^{-\lambda_1}}{k!} \hspace{30mm}
                 Y \sim \text{Poisson}(\lambda_2) \hspace{3mm}
-                    \Leftrightarrow \hspace{3mm} P_Y(n)
-                    = \frac{\lambda_2^n \cdot e^{-\lambda_2}}{n!}
+                    \Leftrightarrow \hspace{3mm} P_Y(k)
+                    = \frac{\lambda_2^k \cdot e^{-\lambda_2}}{k!}
             \end{gather*}
             \pause\begin{align*}
                 P_Z(n) &= P_{X+Y}(n) = \nsum_{k=0}^{n} P_X(k)P_Y(n-k)
@@ -419,7 +416,7 @@
                 \begin{lightgrayhighlightbox}
                     Erinnerung: Unabhängige Ereignisse
                     \begin{align*}
-                        A,B \text{ \normalfont unabhängig}
+                        X,Y \text{ \normalfont unabhängig}
                         \hspace{5mm} \Leftrightarrow \hspace{5mm}
                         P(AB) = P(A)P(B)
                     \end{align*}
@@ -439,8 +436,7 @@
                 \begin{lightgrayhighlightbox}
                     Erinnerung: Varianz
                     \begin{align*}
-                        V(X) = E\big( \left(X - E(X)\right)^2 \big) =
-                        E(X^2) - E^2(X)
+                        V(X) = E\big( \left(X - E(X)\right)^2 \big) = E(X^2) - E^2(X)
                     \end{align*}
                     \vspace*{-13mm}
                 \end{lightgrayhighlightbox}

src/2026-01-30/gen_correlated_data.py

@@ -1,38 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from numpy.typing import NDArray
-import argparse
-
-
-def twodim_array_to_pgfplots_table_string(a: NDArray):
-    return (
-        " \\\\\n".join([" ".join([str(vali) for vali in val]) for val in a]) + "\\\\\n"
-    )
-
-
-def main():
-    # Parse command line arguments
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--correlation", "-c", type=np.float32, required=True)
-    parser.add_argument("-N", type=np.int32, required=True)
-    parser.add_argument("--plot", "-p", action="store_true")
-
-    args = parser.parse_args()
-
-    # Generate & plot data
-
-    means = np.array([0, 0])
-    cov = np.array([[1, args.correlation], [args.correlation, 1]])
-
-    x = np.random.multivariate_normal(means, cov, size=args.N)
-
-    print(twodim_array_to_pgfplots_table_string(x))
-
-    if args.plot:
-        plt.scatter(x[:, 0], x[:, 1])
-        plt.show()
-
-
-if __name__ == "__main__":
-    main()

src/2026-01-30/gen_histogram.py

@@ -1,40 +0,0 @@
-import argparse
-import numpy as np
-import matplotlib.pyplot as plt
-from scipy.special import binom
-
-
-def array_to_pgfplots_table_string(a):
-    return " ".join([f"({k}, {val})" for (k, val) in enumerate(a)]) + f" ({len(a)}, 0)"
-
-
-def P_binom(N, p, k):
-    return binom(N, k) * p**k * (1 - p) ** (N - k)
-
-
-def main():
-    # Parse command line arguments
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("-N", type=np.int32, required=True)
-    parser.add_argument("-p", type=np.float32, required=True)
-    parser.add_argument("--show", "-s", action="store_true")
-
-    args = parser.parse_args()
-
-    # Generate and show data
-
-    N = args.N
-    p = args.p
-
-    bars = np.array([P_binom(N, p, k) for k in range(N + 1)])
-
-    print(array_to_pgfplots_table_string(bars))
-
-    if args.show:
-        plt.stem(bars)
-        plt.show()
-
-
-if __name__ == "__main__":
-    main()