--- /dev/null
+\documentclass{article}
+
+\usepackage{a4wide} % For better page usage
+\usepackage{hyperref}
+
+\hypersetup{%
+ pdfauthor={Mart Lubbers},
+ pdfsubject={Short review},
+ pdfcreator={Mart Lubbers},
+ pdfproducer={Mart Lubbers},
+ hidelinks
+}
+
+\author{Mart Lubbers (s4109503)}
+\title{Batcher's Odd-Even Merging Network Revealed}
+\date{2016{--}06{-}01}
+
+\begin{document}
+\maketitle
+\subsubsection*{Summary \& Evidence}
+%Summary (as briefly as you can - two or three sentences)
+
+%Evidence (what evidence is offered to support the claims?)
+
+\subsubsection*{Strengths \& Weaknesses}
+%Strength (what positive basis is there for publishing/reading it?)
+
+%Weaknesses
+
+\subsubsection*{Evaluation}
+%Evaluation (if you were running the conference/journal where it was published,
+%would you recommend acceptance?)
+
+%Comments on quality of writing
+
+\subsubsection*{Discussion}
+%Queries for discussion
+\begin{itemize}
+ \item
+ \item
+ \item
+\end{itemize}
+
+\end{document}
--- /dev/null
+\documentclass{article}
+
+\usepackage[a4paper]{geometry}
+\usepackage{hyperref}
+
+\hypersetup{%
+ pdfauthor={Mart Lubbers},
+ pdfsubject={Short review},
+ pdfcreator={Mart Lubbers},
+ pdfproducer={Mart Lubbers},
+ hidelinks
+}
+
+\author{Mart Lubbers (s4109503)}
+\title{Model Learning}
+\date{2016{--}06{-}01}
+
+\begin{document}
+\maketitle
+\subsubsection*{Summary \& Evidence}
+%Summary (as briefly as you can - two or three sentences)
+The article is a survey on the current state of the art on model learning.
+Model learning is the process in which a model is constructed by asking
+membership queries.
+
+%Evidence (what evidence is offered to support the claims?)
+At first a brief introduction on the algorithms is given and after that the
+current state of the art is given. By showing several case studies and
+exploring the field and its challenges the current state is described. Moreover
+the survey presents the latest improvements on the classical model learning
+algorithms. While the field is still in infancy there are already some
+promising results.
+
+\subsubsection*{Strengths \& Weaknesses}
+%Strength (what positive basis is there for publishing/reading it?)
+The paper is very readable and introduces the reader gradually to the subject
+by showing, possibly simplified, descriptions of the algorithms. Via the
+interesting case studies the reader is getting even more excited for the field.
+
+%Weaknesses
+Weaknesses are rare in this paper. The paper shows largely examples from the
+Radboud University in Nijmegen.
+
+\subsubsection*{Evaluation}
+%Evaluation (if you were running the conference/journal where it was published,
+%would you recommend acceptance?)
+For a general computer science journal I would accept this paper because it
+gives a nice update on the state of the art and is very readable for someone
+with no particular background information in the subject. However, the paper
+does not present a new idea so it might not be suitable for a specialized
+journal.
+
+%Comments on quality of writing
+There have been various typographical and/or typesetting found in the paper.
+Also in some diagrams color is used whereas some people still print their
+papers and thus miss crucial information if only greyscale printing is done.
+
+\subsubsection*{Discussion}
+%Queries for discussion
+\begin{itemize}
+ \item More examples from other regions and/or universities should be given.
+ \item The basic information about Mealy machines could also be left out.
+\end{itemize}
+
+\end{document}