# Programming and Implementation

## Python Introduction

Content:\
Interactive introduction to the basics of ``Python`` with ``Jupyter notebooks`` as well as ``basics of data processing, -preparation and -visualisation``.

Learning Objectives:\
The students are familiar with the `programming language Python`.

Link to the repository:\
Check out https://git.rz.tu-bs.de/ifn-public/ki4all/python-introduction or
```console
git clone https://git.rz.tu-bs.de/ifn-public/ki4all/python-introduction
```

Previous Microcredits: None

**Extent: 0.75 ECTS** \
**Responsible: IFN, TU BS**


## PyTorch and Tensorflow Introduction

Content:\
Use of deep ``neural networks`` to solve a ``multiclass classification problem``, familiarisation with recognised academic datasets such as ``MNIST`` and ``CIFAR-10``, introduction to the use of the deep learning libraries PyTorch and Tensorflow, use and adaptation of pre-trained models.

Learning Objectives:\
The students master the basics of the ``deep learning libraries`` ``PyTorch`` and ``Tensorflow``.
Also they assess the quality of ``deep learning models`` on appropriate data sets and with meaningful metrics.

Link to the repository:\
Check out https://git.rz.tu-bs.de/ifn-public/ki4all/pytorch-and-tensorflow-introduction or
```console
git clone https://git.rz.tu-bs.de/ifn-public/ki4all/pytorch-and-tensorflow-introduction
```

Previous Microcredits: None

**Extent: 0.75 ECTS** \
**Responsible: IFN, TU BS**