exercises end of chapter with chapter names

bootstrap/lecture/bootstrap.tex

@@ -1,7 +1,8 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\chapter{\tr{Bootstrap methods}{Bootstrap Methoden}}
+\chapter{Bootstrap methods}
 \label{bootstrapchapter}
+\exercisechapter{Bootstrap methods}
 
 Bootstrapping methods are applied to create distributions of
 statistical measures via resampling of a sample. Bootstrapping offers several

header.tex

@@ -290,14 +290,13 @@
 %
 \newboolean{showexercisesolutions}
 \setboolean{showexercisesolutions}{true}
-\newcommand{\exercisesolutions}{chapter}  % 0: here, 1: chapter, 2: end
+\newcommand{\exercisesolutions}{end}  % 0: here, 1: chapter, 2: end
 % we need this also as numbers:
 \ifthenelse{\equal{\exercisesolutions}{end}}{\newcommand{\exercisesolutionsnum}{2}}{%
   \ifthenelse{\equal{\exercisesolutions}{chapter}}{\newcommand{\exercisesolutionsnum}{1}}{%
     \newcommand{\exercisesolutionsnum}{0}}}
 \newcommand{\codepath}{}
 \newcommand{\setcodepath}[1]{\ifthenelse{\not\equal{\exercisesolutions}{here}}{\renewcommand{\codepath}{#1/}}{}\lstset{inputpath=#1}}
-\newcommand{\exercisesection}[1]{}
 \usepackage{mdframed}
 \usepackage{xstring}
 \newlistof{exercisef}{loe}{\tr{Exercises}{\"Ubungen}}
@@ -316,7 +315,11 @@
   \xpretocmd{\include}{\def\currentjobname{#1}\immediate\openout\solutions=\currentjobname-solutions}{}{}\fi%
 \ifnum\exercisesolutionsnum=2
   \def\currentjobname{\jobname}
-  \immediate\openout\solutions=\currentjobname-solutions\fi
+  \immediate\openout\solutions=\currentjobname-solutions
+  \def\exercisechapter#1{\immediate\write\solutions{\unexpanded{\section}{\thechapter. #1}}}
+\else
+  \def\exercisechapter#1{}
+\fi
 \newenvironment{exercise}[2]%
   { \setlength{\fboxsep}{2mm}%
     \newcommand{\saveenumi}{\theenumi}\renewcommand{\labelenumi}{(\alph{enumi})}%
@@ -330,7 +333,7 @@
         \newcommand{\exercisefile}{\protect\StrSubstitute{#1}{_}{\_}}%
         \newcommand{\exerciseoutput}{#2}%
       }{%
-        \immediate\write\solutions{\unexpanded{\exercisesection}{Exercise \thechapter.\arabic{exercisef}}}%
+        \immediate\write\solutions{\unexpanded{\subsection}{Exercise \thechapter.\arabic{exercisef}}}%
         \immediate\write\solutions{\unexpanded{\label}{solution\arabic{chapter}-\arabic{exercisef}}}%
         \immediate\write\solutions{\unexpanded{\lstinputlisting[belowskip=0ex,aboveskip=0ex,%
           nolol=true, title={\textbf{Source code:} \protect\StrSubstitute{#1}{_}{\_}}]}{\codepath#1}}%
@@ -367,8 +370,9 @@
     \or\(\equal{\exercisesolutions}{end}\and\not\isundefined{\chapternumber}\)}{%
     \immediate\closeout\solutions%
     \ifthenelse{\boolean{showexercisesolutions}}{%
-      \clearpage\section{Solutions to the exercises}%
+      \clearpage\ifthenelse{\equal{\exercisesolutions}{chapter}}%
-      \renewcommand{\exercisesection}[1]{\subsection{#1}}%
+        {\section{Solutions to the exercises}}%
+        {\chapter{Solutions to the exercises}}%
       \ifthenelse{\isundefined{\chapternumber}}{\lstset{inputpath=}}{}%
       \input{\currentjobname-solutions} }{}}{}}
 \newcommand{\printallsolutions}{\ifthenelse{\equal{\exercisesolutions}{end}}{%
@@ -376,7 +380,6 @@
     \ifthenelse{\boolean{showexercisesolutions}}{%
       \setcounter{secnumdepth}{0}\lstset{inputpath=}%
       \clearpage\chapter{Solutions to the exercises}%
-      \renewcommand{\exercisesection}[1]{\section{#1}}%
       \input{\currentjobname-solutions} }{}}{}}
 \setlength{\cftexercisefindent}{1.2em}
 \setlength{\cftexercisefnumwidth}{2.6em}

likelihood/lecture/likelihood.tex

@@ -1,7 +1,8 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\chapter{\tr{Maximum likelihood estimation}{Maximum-Likelihood-Sch\"atzer}}
+\chapter{Maximum likelihood estimation}
 \label{maximumlikelihoodchapter}
+\exercisechapter{Maximum likelihood estimation}
 
 A common problem in statistics is to estimate from a probability
 distribution one or more parameters $\theta$ that best describe the

pointprocesses/lecture/pointprocesses.tex

@@ -1,6 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \chapter{Spiketrain analysis}
+\exercisechapter{Spiketrain analysis}
 
 \enterm[Action potentials]{action potentials} (\enterm{spikes}) are
 the carriers of information in the nervous system. Thereby it is the

programming/lecture/programming.tex

@@ -1,6 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \chapter{Programming in \matlab}
 \label{programming}
+\exercisechapter{Programming in MATLAB}
 
 In this chapter we will cover the basics of programming in
 \matlab{}. Starting with the concept of simple variables and data

regression/lecture/regression.tex

@@ -1,4 +1,5 @@
-\chapter{\tr{Optimization and gradient descent}{Optimierung und Gradientenabstieg}}
+\chapter{Optimization and gradient descent}
+\exercisechapter{Optimization and gradient descent}
 
 To understand the behaviour of a given system sciences often probe the
 system with input signals and then try to explain the responses

statistics/lecture/statistics.tex

@@ -1,6 +1,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \chapter{Descriptive statistics}
+\exercisechapter{Descriptive statistics}
 
 Descriptive statistics characterizes data sets by means of a few measures.
 In addition to histograms that estimate the full distribution of the data,