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About
Modules/Topics
This 9-month Advanced MSc programme (3 months of classes, 6 month- internship), with its two entries in Autumn and Spring, is designed to open your career to the Artificial Intelligence jobs marrying mathematics & computer science excellence industries are looking for.
In this Advanced MSc programme, students will:
· Learn how to build complex neural networks architectures and train them on GPU;
· Leverage high-performance for artificial intelligence algorithms (machine learning, deep learning) using advanced programming techniques;
· Handle complex data for applied artificial intelligence techniques such as computer vision or natural language processing (NLP);
· Learn how to leverage Deep Learning for computer vision applications
Signal processing, Bayesian and Artificial Neural Network approaches;
Linguistic resources, Text processing, Textometry, Text Mining;
Recurrent Neural Networks, LSTM, Residual Networks, Reinforcement Learning, Generative Networks;
Physics-inspired (PSO, Hill-Climbing, Simulated Annealing) and Biology-inspired (ant colony optimisation, Genetic) algorithms;
Spectral (Signal Processing, Wavelet analysis) and Bayesian approaches;
Causal loop diagrams, Stock and flow diagrams, Non-linear algebraic equations, Chaos Theory;
Applications of Inverse Problems to oceanography and meteorology data for modelling and prediction;
Related Courses
The BDVe project has received funding from the European Union’s Horizon 2020 programme (H2020-ICT-2016-2017) under grant agreement no. 732630
This project is part of BDV PPP