Update README.md

README.md

 # Scientific Data Processing With Python
 
-## What this course is about
+## About this course
+
+This course is part of the annual [HiPerCH workshop](https://www.hkhlr.de/en/events/hiperch-14-2022-09-12) offered by the Competence Center for High Performance Computing in Hessen ([HKHLR](https://www.hkhlr.de/)). It aims at teaching participants the basics of using the Python libraries Numpy and Pandas for data processing. For a detailed course description please refer to the [course website](https://www.hkhlr.de/en/articles/hiperch-14-module-1).
 
-...
 
 ## Getting the course material 
 
-The courese material can be obtained by cloning this repository. E.g. from within a terminal emulator of your choice execute:
+The course material can be obtained by cloning this repository. E.g. from within a terminal emulator of your choice execute:
 
 ```shell
 git clone https://git.rwth-aachen.de/hkhlr/scientific-data-processing-with-python.git
@@ -61,7 +62,7 @@ $ cd /path/to/course/directory                   # Make sure to navigate to the
 $ python3 -m venv .venv                          # Creates a virtual environment
 $ source .venv/bin/activate
 $ pip3 install --upgrade pip
-$ pip3 install -r requirements.txt
+$ pip3 install -r requirements.txt               # This file is located at the root of the directory containing this repository.
 $ jupyter nbextension enable splitcell/splitcell # This is required to view some of the slides in the Jupyter notebooks
 ```