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+\documentclass{beamer}
+
+\usepackage[fontsize=20pt]{fontsize}
+\usepackage{graphicx}
+\usepackage{tikz}
+\usepackage{changepage} % Add to your preamble
+\usepackage{svg}
+\usepackage[polish]{babel}
+
+
+\graphicspath{ {./images/} }
+\usetheme{Warsaw}
+
+
+
+%Information to be included in the title page:
+
+% Custom title page layout adjustments
+\title{\large Porównanie wydajności i możliwości współczesnych silników do gier komputerowych}
+\author{Krzysztof Rudnicki}
+\institute{
+ \textbf{Promotor} \\
+ dr inż. Michał Chwesiuk
+}
+\date{\scriptsize \today} % Adjust the font size here
+
+
+\setbeamertemplate{footline}[frame number]{}
+\beamertemplatenavigationsymbolsempty
+\setbeamertemplate{headline}{}
+
+
+
+
+
+
+\begin{document}
+
+\begin{frame}
+ \vspace{-0.5cm} % Adjust vertical space above title
+ \maketitle
+ % Alternatively, use a completely custom layout:
+ %\begin{center}
+ % {\Large\inserttitle\par}
+ % \vskip1em
+ % {\insertauthor\par}
+ % \vskip1em
+ % {\insertinstitute\par}
+ % \vskip1em
+ % {\insertdate\par}
+ %\end{center}
+\end{frame}
+
+\begin{frame}
+\frametitle{Plan prezentacji}
+\tableofcontents
+\end{frame}
+
+\section{Definicje}
+\begin{frame}
+ \frametitle{Gra komputerowa}
+ \large Aplikacja dostępna na platformie "Steam" oznaczona typem "Game"
+\end{frame}
+\begin{frame}
+\frametitle{Silnik do gier}
+\large Oprogramowanie zaprojektowane i stworzone do kreacji gier komputerowych
+\end{frame}
+
+\begin{frame}
+ \frametitle{Nowoczesne}
+ \large Ponad 1000 gier w tej dekadzie na platformie "Steam"
+\end{frame}
+
+
+{
+ \setbeamercolor{footline}{fg=white}
+\usebackgroundtemplate{\includegraphics[width=\paperwidth, height=\paperheight]{steamdb_main.png}}
+\begin{frame}
+\end{frame}
+}
+
+
+{
+\usebackgroundtemplate{\includegraphics[width=\paperwidth, height=\paperheight]{steamdb_filter.drawio.pdf}}
+\begin{frame}
+\end{frame}
+}
+
+\begin{frame}
+ \frametitle{Wybrane silniki - start}
+ \begin{center}
+ \includegraphics[width=0.8\paperwidth, height=0.8\paperheight]{usedEngines.pdf}
+\end{center}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Wybrane silniki}
+ \begin{itemize}
+ \item Wyeliminowanie nie generycznych - Ren'Py, RPGMaker
+ \item Wybór najpopularniejszych - Unity, Unreal
+ % Prawie 25k i ponad 7.5k
+ \end{itemize}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Wydajność silnika}
+ \begin{itemize}
+ \item Klatki na sekundę (FPS)
+ \item Zużycie CPU, GPU, RAM i VRAM
+ \item Liczba draw calls
+ \item Czas ładowania assetów
+ \item Czas odpowiedzi na interakcję gracza
+ \end{itemize}
+\end{frame}
+\begin{frame}
+ \frametitle{Możliwości Silnika}
+ \begin{itemize}
+ \item Renderowanie grafiki
+ % Ray tracing, HDR lighting, dynamic shadows, particle systems, animacja
+ \item Silnik Fizyczny
+ \item Multiplatformowość (VR)
+ % Linux, Windows, MacOS, Android, IOs, Xbox, PlayStation, Nintendo, VR
+ \item Skryptowanie logiki gier (AI)
+ \item Gry online
+ \item Sklepy z assetami
+ \end{itemize}
+ \end{frame}
+ \section{Narzędzia}
+ \frametitle{Unity Profiler}
+ {
+ \setbeamercolor{footline}{fg=white}
+ \usebackgroundtemplate{
+ \includegraphics[width=\paperwidth, height=\paperheight]
+ {unity_profiler.png}}
+ \begin{frame}
+ \end{frame}
+ }
+
+ \frametitle{Unreal Profiler}
+ {
+ \setbeamercolor{footline}{fg=white}
+ \usebackgroundtemplate{
+ \includegraphics[width=\paperwidth, height=\paperheight]
+ {unreal_profiler.jpg}}
+ \begin{frame}
+ \end{frame}
+ }
+
+ \frametitle{Nvidia nsight}
+ {
+ \setbeamercolor{footline}{fg=white}
+ \usebackgroundtemplate{
+ \includegraphics[width=\paperwidth, height=\paperheight]
+ {nvida_nsighty.jpg}}
+ \begin{frame}
+ \end{frame}
+ }
+
+ \begin{frame}
+ \frametitle{Nsight - Analiza FPS}
+ \center
+ \includegraphics[width=1\textwidth]{fps_overview.png}
+ % Ile klatek pokazaliśmy na ile
+ % ile trwała średnio klatka
+ % Ile trwała najkrótsza klatka
+ % Ile trwała najdłuższa klatka
+ % Przeciętne klatki na sekundę dla pokazanego wycinka
+ % Tyle lub mniej czasu trwało 99% klatek
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Nsight - Analiza FPS}
+ \center
+ \includegraphics[width=1\textwidth]{stutter_row.png}
+ % Wykrywanie "zawieszek"
+ % Wykrywamy klatki których długość
+ % jest znacznie dłuższa od długości mediany pobliskich 19 klatek
+ % zawieszka musi być dłuższa niż 4 milisekundy
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Nsight - Analiza FPS}
+ \center
+ \includegraphics[width=1\textwidth]{dx12_frame_health.png}
+ % Możemy sprawdzić jaka klatka miała zawieszkę
+ % I jaka metoda w api tę zawieszkę spowodowała
+ \end{frame}
+
+
+ \begin{frame}
+ \frametitle{Nsight - Zużycie VRAM}
+ \center
+ \includegraphics[width=1\textwidth]{memory_utilization_gpu_vram.png}
+ % Zielony -> ile pamięci mamy dostępnej
+ % Pomarańczowy -> ile pamięci zużyliśmy
+ % VidMm Device Suspension -> okresy czasku kiedy przetransferowano
+ % Jeden duży zasób pamięci
+ % Demoted Memory -> w GPU mamy local memory (szybsze) i global memory
+ % (wolniejsze) to może nam mówić o "wyciekach" pamięci
+ % źle zooptymalizowanej pamięci itd.
+ % Allokacja pamięci -> zielone aplikacja, szare -> system
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Nsight - Zużycie VRAM}
+ \center
+ \includegraphics[width=1\textwidth]{memory_utilization_resource_migrations.png}
+ % W kolejności co najwięcej zużyło zasobów
+ % Konkretnie ile i kiedy
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Nsight - Zużycie VRAM}
+ \center
+ \includegraphics[width=1\textwidth]{memory_utilization_memory_transfer.png}
+ % W kolejności co najwięcej zużyło zasobów
+ % Konkretnie ile i kiedy
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Jak porównywać?}
+ \begin{itemize}
+ \item Stworzenie gry na obu
+ \item Porównywanie istniejących gier
+ \item Porównanie samych edytorów
+ \end{itemize}
+ \end{frame}
+
+ {
+ \setbeamercolor{footline}{fg=white}
+ \usebackgroundtemplate{
+ \includegraphics[width=\paperwidth, height=\paperheight]
+ {maxresdefault (1).jpg}}
+ \begin{frame}
+ \end{frame}
+ }
+
+ \begin{frame}
+ \frametitle{Wybór gatunku}
+ FPS:
+ \begin{itemize}
+ \item Wystarczająco skomplikowany
+ \item Grafika
+ \item Fizyka
+ \item Klasyczny benchmark
+ % Wolfenstein, Doom, Quake, Crysis
+ \end{itemize}
+ \end{frame}
+ \begin{frame}
+ \frametitle{Problem}
+ Inklinacja Silnika \\
+ \begin{itemize}
+ \item $ \frac{2478}{39713} \approx 6\% $ gier Unity to FPS \\
+ \item $ \frac{1765}{11158} \approx 15\% $ gier Unreal to FPS \\
+ \end{itemize}
+ Źródło: steamdb.info
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Wybór gatunku}
+ Bullet hell:
+ \begin{itemize}
+ \item Wystarczająco skomplikowany
+ \item Grafika
+ \item Czas jest ważny
+ % W Bullet hell czas jest ważny, gra musi być płynna
+ \end{itemize}
+ \end{frame}
+
+ {
+ \setbeamercolor{footline}{fg=white}
+ \usebackgroundtemplate{
+ \includegraphics[width=\paperwidth, height=\paperheight]
+ {maxresdefault.jpg}}
+ \begin{frame}
+ \end{frame}
+ }
+ \begin{frame}
+ \frametitle{Wyzwania}
+ \begin{itemize}
+ \item Sprzęt
+ % Ten sam, jeden i ten sam komputer użyty w procesie kreacji obu
+ \item Umiejętności
+ % Nie mam
+ \item Podobne wersje silnika
+ % Użyje ostatniego LTS
+ \item Inklinacja Silnika \\ (3\% Unity, 2.4\% Unreal)
+ % ??? Ch
+ % 1577 FPS UNITY, 271 FPS UNREAL
+ % 39713 Total Unity, 11158 Total Unreal (proporcjonalnie 2 razy więcej :<)
+ \end{itemize}
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Ocena łatwości użycia}
+ \begin{itemize}
+ \item Dokumentacja
+ \item Intuicyjność
+ \item Materiały
+ \item Zasoby (Assety)
+ \item Dostępne funkcje
+ \end{itemize}
+ \end{frame}
+
+
+
+ \begin{frame}
+ \frametitle{Po stworzeniu}
+ Przejść obie gry, monitorując przy użyciu Nvidia Nsight i porównać wyniki
+ \end{frame}
+
+
+ \section{Źródła}
+\begin{frame}
+ \frametitle{Źródła}
+ \begin{itemize}
+ \item \href{https://steamdb.info/}{https://steamdb.info/}
+ \item \href{https://docs.nvidia.com/nsight-systems}{https://docs.nvidia.com/nsight-systems}
+ \item An Overview Study of Game Engines, Faizi Noor Ahmad
+ \item Game Engine Architecture, Jason Gregory
+ \end{itemize}
+ \end{frame}
+
+ \begin{frame}
+ \frametitle{Źródła obrazów}
+ \begin{itemize}
+ \item Crysis - kanał youtube \href{https://www.youtube.com/watch?v=vGjOALIrL_U}{Thronefull}
+ \item BulletHell - kanał youtube \href{https://www.youtube.com/watch?app=desktop&v=h-wr6LoETA0}{Beat that boss}
+ \end{itemize}
+ \end{frame}
+
+\end{document}
\ No newline at end of file
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diff --git a/NotProgramming/SDM2/presentations/my_thesis/obrazki_do_pokazania/6.png b/NotProgramming/SDM2/presentations/my_thesis/obrazki_do_pokazania/6.png
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diff --git a/NotProgramming/SDM2/presentations/my_thesis/script.txt b/NotProgramming/SDM2/presentations/my_thesis/script.txt
new file mode 100644
index 00000000..2ae14544
--- /dev/null
+++ b/NotProgramming/SDM2/presentations/my_thesis/script.txt
@@ -0,0 +1,15 @@
+Dzień dobry państwu, nazywam się Krzysztof Rudnicki i chciałbym opowiedzieć o mojej pracy magisterskiej pod promotorstwem Pana doktora Michała Chwesiuka, o tytule Porównanie wydajnośći i możliwości współczesnych silników gier komputerowych
+
+Jeżeli pojawią się jakieś pytania to można je jak najbardziej zadawać w trakcie
+
+Plan prezentacji wygląda następująco, najpierw omówię krótko co
+rozumiem pod pojęciem silnika do gier,
+jakie są współczesne silniki do gier,
+które z nich będę porównywał,
+czym są możliwości i wydajności tych silników
+i jak zamierzam je porównywać
+
+Chciałbym aby po tej prezentacji wiedzieli Państwo więcej o tym jak można
+porównywać silniki graficzne niż przed nią
+
+
diff --git a/NotProgramming/SPD/lab2_spd/lab2.drawio b/NotProgramming/SPD/lab2_spd/lab2.drawio
new file mode 100644
index 00000000..a7b7307a
--- /dev/null
+++ b/NotProgramming/SPD/lab2_spd/lab2.drawio
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+
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diff --git a/NotProgramming/SPD/lab2_spd/lab2_1.drawio b/NotProgramming/SPD/lab2_spd/lab2_1.drawio
new file mode 100644
index 00000000..b025fbca
--- /dev/null
+++ b/NotProgramming/SPD/lab2_spd/lab2_1.drawio
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+
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diff --git a/NotProgramming/SPD/lab2_spd/lab2_2.drawio b/NotProgramming/SPD/lab2_spd/lab2_2.drawio
new file mode 100644
index 00000000..c1c34522
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diff --git a/NotProgramming/SPD/lab2_spd/lab2_3.drawio b/NotProgramming/SPD/lab2_spd/lab2_3.drawio
new file mode 100644
index 00000000..9f6b5f1e
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diff --git a/NotProgramming/SPD/lab2_spd/lab4 b/NotProgramming/SPD/lab2_spd/lab4
new file mode 100644
index 00000000..ba265b2b
--- /dev/null
+++ b/NotProgramming/SPD/lab2_spd/lab4
@@ -0,0 +1,34 @@
+
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diff --git a/NotProgramming/SPD/lab4_spd/main.py b/NotProgramming/SPD/lab4_spd/main.py
new file mode 100644
index 00000000..b50d9926
--- /dev/null
+++ b/NotProgramming/SPD/lab4_spd/main.py
@@ -0,0 +1,128 @@
+import matplotlib.pyplot as plt
+
+# Prepare the datasets
+datasets_200Hz = []
+datasets_400Hz = []
+
+# Dataset 1: Wieloton 200 Hz, 7 (1400 Hz), 3 składowe
+# Starting x value is 1400 Hz
+datasets_200Hz.append({
+ 'name': '200 Hz, 7 (1400 Hz), 3 składowe',
+ 'x': [1400 + 0, 1400 + 50, 1400 + 100, 1400 + 150],
+ 'y': [200, 200, 215, 230]
+})
+
+# Dataset 2: Wieloton 200 Hz, 7 (1400 Hz), 7 składowych
+datasets_200Hz.append({
+ 'name': '200 Hz, 7 (1400 Hz), 7 składowych',
+ 'x': [1400 + 0, 1400 + 50, 1400 + 100, 1400 + 150],
+ 'y': [190, 190, 200, 195]
+})
+
+# Dataset 3: Wieloton 200 Hz, 10 (2000 Hz), 3 składowe
+# Starting x value is 2000 Hz
+datasets_200Hz.append({
+ 'name': '200 Hz, 10 (2000 Hz), 3 składowe',
+ 'x': [2000 + 0, 2000 + 50, 2000 + 100, 2000 + 150],
+ 'y': [225, 215, 220, 265]
+})
+
+# Dataset 4: Wieloton 200 Hz, 10 (2000 Hz), 7 składowych
+datasets_200Hz.append({
+ 'name': '200 Hz, 10 (2000 Hz), 7 składowych',
+ 'x': [2000 + 0, 2000 + 50, 2000 + 100, 2000 + 150],
+ 'y': [190, 205, 205, 210]
+})
+
+# Dataset 4: Wieloton 200 Hz, 10 (2000 Hz), 7 składowych
+datasets_200Hz.append({
+ 'name': 'Shouten - 7',
+ 'x': [1400 + 0, 1400 + 50, 1400 + 100, 1400 + 150],
+ 'y': [200, 207.5, 214, 222]
+})
+
+# Dataset 4: Wieloton 200 Hz, 10 (2000 Hz), 7 składowych
+datasets_200Hz.append({
+ 'name': 'Shouten - 10',
+ 'x': [2000 + 0, 2000 + 50, 2000 + 100, 2000 + 150],
+ 'y': [200, 205, 210, 215]
+})
+
+
+
+# Dataset 5: Wieloton 400 Hz, 7 (2800 Hz), 3 składowe
+# Starting x value is 2800 Hz
+datasets_400Hz.append({
+ 'name': '400 Hz, 7 (2800 Hz), 3 składowe',
+ 'x': [2800 + 0, 2800 + 100, 2800 + 200, 2800 + 300],
+ 'y': [405, 410, 410, 405]
+})
+
+# Dataset 6: Wieloton 400 Hz, 7 (2800 Hz), 7 składowych
+datasets_400Hz.append({
+ 'name': '400 Hz, 7 (2800 Hz), 7 składowych',
+ 'x': [2800 + 0, 2800 + 100, 2800 + 200, 2800 + 300],
+ 'y': [410, 420, 420, 425]
+})
+
+# Dataset 7: Wieloton 400 Hz, 10 (4000 Hz), 3 składowe
+# Starting x value is 4000 Hz
+datasets_400Hz.append({
+ 'name': '400 Hz, 10 (4000 Hz), 3 składowe',
+ 'x': [4000 + 0, 4000 + 100, 4000 + 200, 4000 + 300],
+ 'y': [407, 419, 425, 425]
+})
+
+# Dataset 8: Wieloton 400 Hz, 10 (4000 Hz), 7 składowych
+# Note: The last two 'Wynik [Hz]' values seem inconsistent.
+# They are much lower than expected based on prior values.
+# Assuming there might be typos, and they should be 2200 and 2400
+# instead of 220 and 240.
+datasets_400Hz.append({
+ 'name': '400 Hz, 10 (4000 Hz), 7 składowych',
+ 'x': [4000 + 0, 4000 + 100, 4000 + 200, 4000 + 300],
+ 'y': [405, 410, 415, 415] # Original data
+})
+
+datasets_400Hz.append({
+ 'name': 'Shouten - 7',
+ 'x': [2800 + 0, 2800 + 100, 2800 + 200, 2800 + 300],
+ 'y': [400, 414, 428, 443]
+})
+
+
+datasets_400Hz.append({
+ 'name': 'Shouten - 10',
+ 'x': [4000 + 0, 4000 + 100, 4000 + 200, 4000 + 300],
+ 'y': [400, 410, 420, 430] # Original data
+})
+
+# Plot the data for 200 Hz
+plt.figure(figsize=(12, 8))
+for dataset in datasets_200Hz:
+ if 'Shouten' in dataset['name']:
+ plt.plot(dataset['x'], dataset['y'], marker='s', color='red', label=dataset['name']) # Shouten datasets
+ else:
+ plt.plot(dataset['x'], dataset['y'], marker='o', label=dataset['name']) # Other datasets
+plt.xlabel('Frequency [Hz]')
+plt.ylabel('Result [Hz]')
+plt.title('Combined Graph of Results for 200 Hz')
+plt.legend()
+plt.grid(True)
+plt.savefig('results_200Hz.png') # Save the plot
+plt.show()
+
+# Plot the data for 400 Hz
+plt.figure(figsize=(12, 8))
+for dataset in datasets_400Hz:
+ if 'Shouten' in dataset['name']:
+ plt.plot(dataset['x'], dataset['y'], marker='s', color='red', label=dataset['name']) # Shouten datasets
+ else:
+ plt.plot(dataset['x'], dataset['y'], marker='o', label=dataset['name']) # Other datasets
+plt.xlabel('Frequency [Hz]')
+plt.ylabel('Result [Hz]')
+plt.title('Combined Graph of Results for 400 Hz')
+plt.legend()
+plt.grid(True)
+plt.savefig('results_400Hz.png') # Save the plot
+plt.show()
\ No newline at end of file
diff --git a/NotProgramming/SPD/lab4_spd/results_200Hz.png b/NotProgramming/SPD/lab4_spd/results_200Hz.png
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index 00000000..c04317ed
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diff --git a/NotProgramming/SPD/lab4_spd/results_400Hz.png b/NotProgramming/SPD/lab4_spd/results_400Hz.png
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index 00000000..6f8b2dae
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diff --git a/NotProgramming/SPD/spd3/cw1.png b/NotProgramming/SPD/spd3/cw1.png
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diff --git a/NotProgramming/SPD/spd3/main.py b/NotProgramming/SPD/spd3/main.py
new file mode 100644
index 00000000..fab8d2fa
--- /dev/null
+++ b/NotProgramming/SPD/spd3/main.py
@@ -0,0 +1,136 @@
+import matplotlib.pyplot as plt
+
+# Values 1
+x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
+y1 = [33.2, 35.48, 27.67, 19.41, 15.3, 15.44, 13.59]
+
+# Values 2
+x2 = [0.4, 0.5, 0.6, 0.7]
+y2 = [13.29, 11.25, 12.55, 13.26]
+
+# Values 3
+x3 = [0.4, 0.5, 0.6, 0.7]
+y3 = [22.06, 15.48, 18.74, 17.71]
+
+# Create the plot
+plt.figure(figsize=(10, 6))
+
+# Plot each line with different styles
+plt.plot(x1, y1, marker='o', linestyle='-', color='blue', label='symetrycznie 500 Hz')
+plt.plot(x2, y2, marker='s', linestyle='--', color='green', label='asymetrycznie 550 Hz')
+plt.plot(x3, y3, marker='^', linestyle='-.', color='red', label='asymetrycznie 450 Hz')
+
+# Add labels and title
+plt.xlabel('parametr g', fontsize=40)
+plt.ylabel('Prod detekcji syngalu [dB]', fontsize=40)
+plt.title('500 Hz', fontsize=48)
+
+# Add a legend
+plt.legend(fontsize=32)
+
+# Optional: Add gridlines
+plt.grid(True)
+plt.xticks(fontsize=32)
+plt.yticks(fontsize=32)
+
+# Display the plot
+plt.show()
+
+# Values 1
+x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
+y1 = [33.06, 35.28, 23.33, 17.14, 14.33, 10.01, 4.43]
+
+# Values 2
+x2 = [0.4, 0.5, 0.6, 0.7]
+y2 = [15.22, 8.16, 6.45, 6.27]
+
+# Values 3
+x3 = [0.4, 0.5, 0.6, 0.7]
+y3 = [13.0, 13.06, 7.8, 1.7]
+
+# Create the plot
+plt.figure(figsize=(10, 6))
+
+# Plot each line with different styles
+plt.plot(x1, y1, marker='o', linestyle='-', color='blue', label='symetrycznie 1500 Hz')
+plt.plot(x2, y2, marker='s', linestyle='--', color='green', label='asymetrycznie 1650 Hz')
+plt.plot(x3, y3, marker='^', linestyle='-.', color='red', label='asymetrycznie 1350 Hz')
+
+# Add labels and title
+plt.xlabel('parametr g', fontsize=40)
+plt.ylabel('Prod detekcji syngalu [dB]', fontsize=40)
+plt.title('1500 Hz', fontsize=48)
+
+# Add a legend
+plt.legend(fontsize=32)
+
+# Optional: Add gridlines
+plt.grid(True)
+plt.xticks(fontsize=32)
+plt.yticks(fontsize=32)
+
+# Display the plot
+plt.show()
+
+# Values 1
+x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
+y1 = [33.2, 35.48, 27.67, 19.41, 15.3, 15.44, 13.59]
+
+# Values 2
+x2 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
+y2 = [33.06, 35.28, 23.33, 17.14, 14.33, 10.01, 4.43]
+
+# Create the plot
+plt.figure(figsize=(10, 6))
+
+# Plot each line with different styles
+plt.plot(x1, y1, marker='o', linestyle='-', color='blue', label='symetrycznie 500 Hz')
+plt.plot(x2, y2, marker='s', linestyle='--', color='green', label='symetrycznie 1500 Hz')
+
+# Add labels and title
+plt.xlabel('parametr g', fontsize=40)
+plt.ylabel('Prod detekcji syngalu [dB]', fontsize=40)
+plt.title('500 Hz vs 1500 Hz', fontsize=48)
+
+# Add a legend
+plt.legend(fontsize=32)
+
+# Optional: Add gridlines
+plt.grid(True)
+plt.xticks(fontsize=32)
+plt.yticks(fontsize=32)
+
+# Display the plot
+plt.show()
+
+# Values 1
+x1 = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
+y1 = [33.2, 35.48, 27.67, 19.41, 15.3, 15.44, 13.59]
+
+# Values 2
+x2 = [0.005, 0.01, 0.02, 0.05, 0.1, 0.3]
+y2 = [81.59, 60.08, 68.48, 58.77, 53.6, 55.46]
+
+# Create the plot
+plt.figure(figsize=(10, 6))
+
+# Plot each line with different styles
+plt.plot(x1, y1, marker='o', linestyle='-', color='blue', label='pasmowy 500 Hz')
+plt.plot(x2, y2, marker='s', linestyle='--', color='green', label='pasmowo-zaporowy 500 Hz')
+
+# Add labels and title
+plt.xlabel('parametr g', fontsize=40)
+plt.ylabel('Prod detekcji syngalu [dB]', fontsize=40)
+plt.title('Porownanie szum pasmowy vs szum pasmowo zaporowy dla 500 Hz', fontsize=48)
+
+# Add a legend
+plt.legend(fontsize=32)
+
+# Optional: Add gridlines
+plt.grid(True)
+plt.xticks(fontsize=32)
+plt.yticks(fontsize=32)
+
+# Display the plot
+plt.show()
+
diff --git a/NotProgramming/SPD/spd_5/gco.png b/NotProgramming/SPD/spd_5/gco.png
new file mode 100644
index 00000000..ecffc876
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diff --git a/NotProgramming/SPD/spd_5/lab5.png b/NotProgramming/SPD/spd_5/lab5.png
new file mode 100644
index 00000000..8ecf74af
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diff --git a/NotProgramming/SPD/spd_5/main.py b/NotProgramming/SPD/spd_5/main.py
new file mode 100644
index 00000000..d3d6a5e8
--- /dev/null
+++ b/NotProgramming/SPD/spd_5/main.py
@@ -0,0 +1,42 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Data
+delta_t = np.array([500, 200, 100, 50, 20, 10, 5, 3])
+ton_60_db = [60, 60, 59, 58, 50, 46, 42, 39]
+szum_20_db_per_hz = [20, 19, 18, 16, 12, 11, 8, 8]
+ton_60_db_minus = [ton - 60 for ton in ton_60_db]
+szum_20_db_per_hz_minus = [szum - 20 for szum in szum_20_db_per_hz]
+
+# Theoretical lines
+delta_t_line = np.logspace(np.log10(3), np.log10(500), 100)
+log_delta_t_line = np.log10(delta_t_line)
+
+# Equations in terms of log(delta_t)
+# For Broadband Noise: y = 10 * log10(delta_t) - 25
+y_broadband_line = 10 * log_delta_t_line - 25
+
+# For Pure Tone: y = 9 * log10(delta_t) - 19
+y_pure_tone_line = 9 * log_delta_t_line - 19
+
+# Plotting
+plt.figure(figsize=(10, 6))
+
+# Plot the experimental data
+plt.semilogx(delta_t, ton_60_db_minus, 'o', label='Ton eksperymentalny 60 dB')
+plt.semilogx(delta_t, szum_20_db_per_hz_minus, 's', label='Szum eksperymentalny 20 dB/Hz')
+
+# Plot the theoretical lines
+plt.semilogx(delta_t_line, y_pure_tone_line, label='Ton - krzywa teoretyczna')
+plt.semilogx(delta_t_line, y_broadband_line, label='Szum - krzywa teoereyczna')
+
+plt.xlabel('Czas trwania sygnału [ms]', fontsize=40)
+plt.ylabel('Poziom względny głośności [dB]', fontsize=40)
+plt.title('Głośnośc vs czas', fontsize=48)
+plt.legend(fontsize=32)
+plt.grid(True, which="both", ls="--")
+
+plt.xticks(fontsize=32)
+plt.yticks(fontsize=32)
+
+plt.show()
\ No newline at end of file
diff --git a/NotProgramming/SPD/spd_5/main2.py b/NotProgramming/SPD/spd_5/main2.py
new file mode 100644
index 00000000..a6c95e5d
--- /dev/null
+++ b/NotProgramming/SPD/spd_5/main2.py
@@ -0,0 +1,24 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Data (decreasing values)
+bandwidth = np.array([40, 100, 160, 300, 600, 1000])
+detection_threshold_600Hz = np.array([50, 30, 20, 12, 10, 8])
+detection_threshold_2200Hz = np.array([40, 25, 18, 10, 8, 7])
+detection_threshold_4400Hz = np.array([35, 22, 15, 9, 7, 6])
+
+# Plot
+plt.figure(figsize=(10, 6))
+plt.xscale('log')
+
+plt.scatter(bandwidth, detection_threshold_600Hz, label='600 Hz', marker='o')
+plt.scatter(bandwidth, detection_threshold_2200Hz, label='2200 Hz', marker='^')
+plt.scatter(bandwidth, detection_threshold_4400Hz, label='4400 Hz', marker='s')
+
+plt.xlabel('Szerokość pasma [Hz]')
+plt.ylabel('Próg detekcji interwału ciszy [ms]')
+plt.title('Górna częstotliwość odcięcia (GCO)')
+plt.legend(title='GCO')
+
+plt.grid(True)
+plt.show()
\ No newline at end of file
diff --git a/NotProgramming/SPD/spd_5/zad2.drawio b/NotProgramming/SPD/spd_5/zad2.drawio
new file mode 100644
index 00000000..87b0714b
--- /dev/null
+++ b/NotProgramming/SPD/spd_5/zad2.drawio
@@ -0,0 +1,43 @@
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diff --git a/NotProgramming/SPD/spd_5/zad3.drawio b/NotProgramming/SPD/spd_5/zad3.drawio
new file mode 100644
index 00000000..b025fbca
--- /dev/null
+++ b/NotProgramming/SPD/spd_5/zad3.drawio
@@ -0,0 +1 @@
+
\ No newline at end of file