INTRODUCTION

Time Series appear in various fields and their analyses play an important role in many applications. Over the last few years, many researchers have shifted from traditional techniques (i.e. autoregressive models) to deep learning techniques due to their promising applications. The course will start with an overview of Python tools that are necessary for time series analysis. The participants will then be exposed to traditional techniques before being introduced to the basic principles of recurrent neural networks (RNN, LSTM) and convolutional neural networks (CNN) that are used in times series analysis. Examples of applications from various fields will be presented and the participants will hands on Pythoin implementation of some algorithms.