Modern methods of artificial intelligence
Physics and astrophysics first cycle
Objectives and competences
Students will be introduced to the basics of machine learning and data analysis techniques. They will be able to utilise these techniques on a broad range of real world data, from images to texts.
Prerequisites
Linear Algebra (1FAF02)
Mathematical physics I (1FAF11)
Computer programming (1FAF09)
Content
- Data Structure and regression + binary classification.
- Artificial Neural Network: How to build it? Understanding the inner workings. Backpropagation.
- Convolutional Neural Network: What is convolution and how modern systems ‘see’ images.
- Natural Language Processing: How AI systems process and understand your texts?
Intended learning outcomes
At the end of the course the student will:
1. Learn the building blocks of modern AI algorithms.
2. Learn on how to apply of those algorithms on real-world datasets.
3. Apply the learned techniques from this course to the participant's own use case.
Assessment
- Attendance to lectures and labwork
- Homework
- Final project and its presentation
Lecturer's references
Dr. Saptashwa Bhattacharyya je docent za področje fizike na Univerzi v Novi Gorici.
Saptashwa Bhattacharyya is an assistant professor of physics at the University of Nova Gorica.
ABE, K., BHATTACHARYYA, Saptashwa, ECKNER, Christopher, PÉREZ ROMERO, Judit, STANIČ, Samo, VOROBIOV, Serguei, ZAHARIJAS, Gabrijela, ZAVRTANIK, Danilo, ZAVRTANIK, Marko, ŽIVEC, Miha, et al. Galactic transient sources with the Cherenkov Telescope Array Observatory. Monthly notices of the royal astronomical society. 2025, vol. 540, issue 1, str. 205-238. DOI: 10.1093/mnras/staf655.
ABE, S., BHATTACHARYYA, Saptashwa, ECKNER, Christopher, PÉREZ ROMERO, Judit, STANIČ, Samo, VODEB, Veronika, VOROBIOV, Serguei, ZAHARIJAS, Gabrijela, ZAVRTANIK, Danilo, ZAVRTANIK, Marko, ŽIVEC, Miha, et al., CTAO Consortium. Dark matter line searches with the Cherenkov Telescope Array. Journal of cosmology and astroparticle physics. Jul. 2024, vol. 2024, no. 7, [article no.] 047, str. 1-61. DOI: 10.1088/1475-7516/2024/07/047.
ABE, K., BHATTACHARYYA, Saptashwa, PÉREZ ROMERO, Judit, STANIČ, Samo, VODEB, Veronika, VOROBIOV, Serguei, ZAHARIJAS, Gabrijela, ZAVRTANIK, Danilo, ZAVRTANIK, Marko, ŽIVEC, Miha, et al., CTA Consortium. Prospects for a survey of the galactic plane with the Cherenkov Telescope Array. Journal of cosmology and astroparticle physics. Okt. 2024, vol. 2024, no. 10, [article no.] 081, str. 1-68. DOI: 10.1088/1475-7516/2024/10/081.
STOPPA, F., BHATTACHARYYA, Saptashwa, RUIZ DE AUSTRI, R., VREESWIJK, P., CARON, S., ZAHARIJAS, Gabrijela, BLOEMEN, S., PRINCIPE, G., MALYSHEV, D., VODEB, Veronika, et al. AutoSourceID-Classifier : star-galaxy classification using a convolutional neural network with spatial information. Astronomy & astrophysics. 2023, vol. 680, [article no.] a109, str. 1-16. DOI: 10.1051/0004-6361/202347576.
BHATTACHARYYA, Saptashwa, MULEC, Janez, OARGA-MULEC, Andreea. Time-series analysis of oxygen as an important environmental parameter for monitoring diversity hotspot ecosystems : an example of a river sinking into the karst underground. Diversity. 2023, vol. 15, issue 2, str.15. DOI: 10.3390/d15020156.