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  \huge{The Department of Mathematics}\\[0.1\baselineskip]
  \Large{2024--25--B term}\\[0.2\baselineskip]

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\begin{description}
  \item[Course Name]
    Branching Processes

  \item[Course Number]
    \LRE{201‭.2‭.1061}

  \item[Course web page]\mbox{}\\
    \url{https://math.bgu.ac.il//en/teaching/spring2025/courses/branching-processes}

  \item[Lecturer]
    Prof. Chen Dubi,
    \nolinkurl{<cdubi@bgu.ac.il>},
    Office 210

\item[Office Hours]
  \url{https://math.bgu.ac.il/en/teaching/hours}
\end{description}

\section*{Abstract}




\section*{Requirements and grading\footnote{Information may change during the first two weeks of the term. Please consult the webpage for updates}}






\section*{Course topics}

``Branching processes'' are a family of discrete valued random processes, characterized by a very strong correlation between the state of the process and the transition probabilities.

The original model was derived by Galtoe \& Watson during the late 19th century, in order investigate the dynamics of the aristocrat families in Victorian Britain, but soon found numerous applications in many scientific disciplines, such as computational biology, nuclear engineering, epidemiology and economics. In the course, we will introduce the basic concepts in branching processes, underlining the mathematical formalism, and discuss two applications: epidemiology (and the COVID pandemic in particular), and fission chain models in nuclear engineering.

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