Teaching

Artificial Intelligence Systems

Undergraduate Course, ITBA University, Computer Engineering Department, 2020

Introduction to Artificial Intelligence. Definition of Intelligence. A*. Genetic Algorithms. Perceptron. Multilayer Perceptron. Optimization. PCA. Cross-Validation and Performance Metrics. Oja and Sanjer. Deep Learning. Autoencoders. Variational Autoencoders. GANs. CNN.

Scientific Data Science

Graduate course, ITBA University, Data Science Specialization, 2019

Time Series Analysis. Scientific Python. Spectral Filters. Spatial Filters. Segmentation. Time Series Features. Feature Engineering. Neuro inspiration to Neural Networks. Deep Learning. Classification, Regression and Generation.