Beamer Presentation

If you're looking to get started with a LaTeX presentation, this template is for you!

You can customise the look and feel of your presentation by choosing your preferred combination of Theme and Color Theme.

Click the image above to get started, and try changing the theme to "Madrid" to get the look shown.

For more hints and tips on creating presentations with Beamer, checkout Part 3 of our free introduction to LaTeX course.

Source

\documentclass % % Choose how your presentation looks. % % For more themes, color themes and font themes, see: % http://deic.uab.es/~iblanes/beamer_gallery/index_by_theme.html % \mode  < \usetheme% or try Darmstadt, Madrid, Warsaw, . \usecolortheme % or try albatross, beaver, crane, . \usefonttheme % or try serif, structurebold, . \setbeamertemplate<> \setbeamertemplate[numbered] > \usepackage[english] \usepackage[utf8] \usepackage[T1] \title[Your Short Title] \author \institute \date \begin \begin \titlepage \end % Uncomment these lines for an automatically generated outline. %\begin % \tableofcontents %\end \section \begin \begin \item Your introduction goes here! \item Use \texttt to organize your main points. \end \vskip 1cm \begin Some examples of commonly used commands and features are included, to help you get started. \end \end \section Examples> \subsection \begin \begin \item Use \texttt for basic tables --- see Table~\ref, for example. \item You can upload a figure (JPEG, PNG or PDF) using the files menu. \item To include it in your document, use the \texttt command (see the comment below in the source code). \end % Commands to include a figure: %\begin %\includegraphics[width=\textwidth] %\caption<\labelCaption goes here.> %\end \begin \centering \begin Item & Quantity \\\hline Widgets & 42 \\ Gadgets & 13 \end \caption<\labelAn example table.> \end \end \subsection \begin Let $X_1, X_2, \ldots, X_n$ be a sequence of independent and identically distributed random variables with $\text[X_i] = \mu$ and $\text[X_i] = \sigma^2 < \infty$, and let \[ S_n = \frac = \frac\sum_^ X_i \] denote their mean. Then as $n$ approaches infinity, the random variables $\sqrt(S_n - \mu)$ converge in distribution to a normal $\mathcal(0, \sigma^2)$. \end \end