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13 Courses

ICT

Introduction to Python

Python is a general-purpose, versatile, and powerful programming language. It’s a great first language because it’s concise and easy to read. Whatever you want to do, Python can do it. From web development to machine learning to data science, Python is the language for you.

ICT

AI and HPC in AAL

Introduction to the concepts of AI and HPC with application to AAL with practical examples in Python

ICT

Machine Learning in AAL

Do you want to become a master in machine learning?.Then start today!, it would take you four hours to learn the basics of Machine learning. Imagine, for the time you spend watching youtube useless videos you can learn how they built their recommendation system. How do you get commercials for hotels after searching them on booking? Is this question still a mystery, then you need an  introduction to machine learning.

ICT

Neural Networks and Deep Learning for AAL

The main goal of this course is to introduce students to the foundational concept of neural networks and deep learning.

By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.


ICT

Stream processing in Apache Flink for AAL

Introduction to the concepts of processing of stream data

ICT

Data VIsualuzation

Introduction to the concepts of AI and HPC with application to AAL with practical examples in Python

ICT

Datasets and preprocessing in AAL

The main goal of this course is to introduce students to some of the most important and widely used preprocessing techniques, as well as the tools they can use to apply them to AAL datasets.

ICT

Explainable AI in AAL

The main goal of this course is to introduce students to techniques that can be used to explain Artificial Intelligence models, with a specific focus on their application on models that analyze and classify data from AAL systems. It also aims to demonstrate the Python tools and libraries that can make this application easier and available to a wide variety of machine learning models

ICT

Smart Housing and AAL Principles

The objective of the unit is to introduce the concept of AAL to the students. The students will be introduced to the advanced concepts of sensor data
acquisition and processing from both hardware and software point of view.

Students will learn thoroughly the concepts of sensing and smart environments and be able to apply these concepts in the design and building phases.
Students will learn how to overcome the challenges in the design and implementation of a successful
ambient assisted living system.