[programming] language fixes in chapter and exercises

programming/lecture/programming.tex

@@ -254,7 +254,7 @@ type (figure~\ref{vectorfig} B).  The variable \varcode{test} in
 \begin{figure}[ht]
   \includegraphics[width=0.8\columnwidth]{scalarArray}
   \titlecaption{Scalars and vectors.}{\textbf{A)} A scalar variable
-    holds exactly on value. \textbf{B)} A vector can hold multiple
+    holds exactly one value. \textbf{B)} A vector can hold multiple
     values. These must be of the same data type (e.g. integer
     numbers). \matlab{} distinguishes between row- and
     column-vectors.}\label{vectorfig}
@@ -646,7 +646,7 @@ and should be always preferred over \code{length()}.
 
 Analogous to the data access in vectors we can address individual
 elements of a matrix by it's index.  Similar to a coordinate system
-each element is addressed using a n-tuple with $n$ the number of
+each element is addressed using an n-tuple with $n$ the number of
 dimensions (figure~\ref{matrixindexingfig},
 listing~\ref{matrixIndexing}). This type of indexing is called
 \codeterm{subscript indexing}. The first coordinate refers always to
@@ -910,10 +910,10 @@ this can save processing time.
 
 Previously we have introduced the data types for integer or floating
 point numbers and discussed that there are instances in which it is
-more efficient to use a integer data type rather than storing floating
+more efficient to use an integer data type rather than storing floating
 point numbers. The result of a Boolean expression can only assume two
 values (true or false). This implies that we need only a single bit to
-store this information as a 0 (false) and 1 (true). \matlab{} knows a
+store this information as 0 (false) or 1 (true). \matlab{} knows a
 special data type (\codeterm{logical}) to store the result of a
 Boolean expression. Every variable can be evaluated to true or false
 by converting it to the logical data type. When doing so \matlab{}