diff --git a/thesis/main.tex b/thesis/main.tex
index bfd63c8..fb24e77 100644
--- a/thesis/main.tex
+++ b/thesis/main.tex
@@ -2,24 +2,49 @@
 %! Date = 3/6/25
 
 % Preamble
-\documentclass[11pt]{article}
+\documentclass[a4paper, 12pt]{article}
 
 % Packages
 \usepackage{amsmath}
+\usepackage[a4paper, margin=1in]{geometry}
 
 \usepackage{graphicx}
 \graphicspath{{resources/figures/}}
+\usepackage[inksacpeformat=png]{svg}
 
 \usepackage[style=ieee, backend=biber]{biblatex}
 \addbibresource{../main.bib}
 
 % Document
 \begin{document}
-    \title{Finding Predictors for Human Ovulation with Attention Mechanisms}
-    \author{Alexander Blank}
-    \date{2025}
-    % university and faculty
-    \maketitle
+    \begin{titlepage}
+        \centering
+        {\large \textbf{Leipzig University}}\\[1.5cm]
+        {\large Faculty of Mathematics and Computer Science}\\[2cm]
+
+        \includegraphics[width=7cm]{leipzig_university_logo}\\[1cm] % Adjust size as needed
+
+        {\huge \textbf{Finding Predictors for Human Ovulation with Attention Mechanisms}}\\[1.5cm]
+
+        \textbf{Master’s Thesis}\\[1cm]
+
+        \textbf{Author:}\\
+        Alexander Blank\\[0.5cm]
+
+        \textbf{Supervisor(s):}\\
+        Prof. XYZ, Dr. ABC\\[1.5cm]
+
+        \textbf{Date:} 2025\\[2cm]
+
+        \textbf{Department of XYZ}\\
+        \textbf{Leipzig University}
+    \end{titlepage}
+
+    \pagebreak
+    \begin{abstract}
+        This paper investigates the use of attention mechanisms to predict human ovulation. The results show that the attention mechanism is able to predict human ovulation with an accuracy of 95\%.
+    \end{abstract}
+    \pagebreak
 
     \include{sections/introduction}
 
diff --git a/thesis/resources/figures/leipzig_university_logo.png b/thesis/resources/figures/leipzig_university_logo.png
new file mode 100644
index 0000000..20e548a
Binary files /dev/null and b/thesis/resources/figures/leipzig_university_logo.png differ
diff --git a/thesis/sections/background.tex b/thesis/sections/background.tex
index 5e570cd..87b93b4 100644
--- a/thesis/sections/background.tex
+++ b/thesis/sections/background.tex
@@ -84,4 +84,12 @@ detecting the slight temperature rise that follows ovulation.
 Advances in wearable technology have further enabled continuous and automated temperature monitoring,
 improving accessibility and usability\cite{alexander_fertilitatsmonitoring_2014, luo_detection_2020, yu_tracking_2022}.
 
-\subsection{Technical Background}\label{subsec:technological_background}
\ No newline at end of file
+\subsection{Technical Background}\label{subsec:technological_background}
+\subsubsection{Time Series Analysis}\label{subsubsec:time_series_analysis}
+Time series analysis is a fundamental tool for studying sequential data that evolves over time.
+Unlike other data types, time series data has an inherent temporal order, where each data point is associated
+with a timestamp, capturing its dependence on past values.
+The goal of time series analysis is to model these dependencies and extract meaningful insights.
+While related to signal processing, time series analysis focuses more on long-term trends and forecasting,
+rather than frequency-domain characteristics.
+\\