tutorial, CEITEC, 2023
J. Hruska and I created this tutorial as an introduction to processing of spectroscopic data in Python. It covers everything from loading the data, data exploration and visualization, preprocessing, feature extraction, up to classification. Several techniques are used; PCA, t-SNE, random forest, SVM, MLP.
Seminars, Brno University of Technology, Institute of Physical Engineering and Nanotechnology, 2023
2-3 guest lectures that cover introduction to Artificial Neural Networks (ANN) and ANN applications in physics. The last lecture will be on practical implementation in Python (topics are selected on the go; past years included: backprop. without libraries, object-oriented ANN code from scratch, classifier using Keras, basic data processing pipeline for spectroscopic data, …)
Seminars, Brno University of Technology, Institute of Physical Engineering and Nanotechnology, 2022
Theoretical seminars for introductory physics course (classical mechanics & thermodynamics).
Seminars, Brno University of Technology, Institute of Physical Engineering and Nanotechnology, 2022
Theoretical seminars for introductory physics course (electricity & magnetism).