diff --git a/body.tex b/body.tex
index 67c1936..e09ac69 100644
--- a/body.tex
+++ b/body.tex
@@ -366,26 +366,17 @@ be used to identify and reject these false positive cases.
 
 \label{chap:methods}
 
-This chapter starts with the design of the source code; the
-source code is so much more than a means to an end. The thesis
-uses two data sets: MS COCO and SceneNet RGB-D; a section
-will explain how these data sets have been prepared.
-Afterwards the replication of the work of Miller et al. is
-outlined, followed by the implementation of the auto-encoder.
+This chapter explains the functionality of the Bayesian SSD and
+provides some information on the software and source code design.
+In particular, the model architecture of both vanilla SSD and
+Bayesian SSD, the calculation of model uncertainty, and relevant
+implementation details will be presented.
 
-\section{Bayesian SSD for Novelty Detection}
+\section{Bayesian SSD for Model Uncertainty}
 
 \subsection{Model Architecture}
 
-\subsection{Novelty Detection}
-
-\subsection{Implementation Details}
-
-\section{Auto-encoder for Novelty Detection}
-
-\subsection{Model Architecture}
-
-\subsection{Novelty Detection}
+\subsection{Model Uncertainty}
 
 \subsection{Implementation Details}