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20810085 SIMULATION METHODS FOR ELECTRONIC & ELECTRIC SYSTEMS in Electronic engineering for industry and innovation LM-29 RIGANTI FULGINEI FRANCESCO
(syllabus)
1. Algorithms and artificial intelligence
- Introductory notes on algorithms and problem solving from an engineering point of view - Why AI: classification, clustering and prediction - Methods of searching for the optimum. - Programming languages and development environments: python, matlab, C
2. Application of artificial intelligence in industrial and information engineering
- Application of Evolutionary Calculation for the optimization of the performance of renewable energy sources - Applications of Neural Networks for the prediction of energy needs (seasonality). - Neural, genetic and swarm intelligence models applied to the modeling of materials and devices. - Application of AI and machine learning in design
3. Applications of AI to music and art in general
- ML techniques for musical composition. - Generative artificial intelligence in the visual arts - Development of applications for graphics engines
(reference books)
Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2021). Dive into deep learning. arXiv preprint arXiv:2106.11342. Available online: https://d2l.ai/
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