Degree | Type | Year | Semester |
---|---|---|---|
2503852 Applied Statistics | OT | 4 | 2 |
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
There are no formal prerequisites. Recommendations:
Humanity's vision of the Universe changed radically in the 20th century. The evolution of detection techniques has increased the number of objects visible in the sky from a few hundred to many billions. In addition, objects can be observed through electromagnetic radiation in a wide range of wavelengths, from radio and infrared to the visible band and X-rays. Experimental techniques from elementary particle physics have been adapted to extend observations of celestial objects, for example through higher energy photons (gamma rays). These techniques also allow, for the first time, the observation of the sky through non-electromagnetic messengers, that is, charged particles ("cosmic rays") and, very recently, neutrinos. Finally, gigantic, highly accurate laser interferometers have recently observed gravitational waves, providing another way of observing celestial objects.
All of these ways of looking at the Universe are producing enormous amounts of data that must be filtered, calibrated, analyzed, and compared with theoretical predictions. This requires data reduction in high throughput systems and simulations in high performance systems, combined with sophisticated statistical analysis and uncertainty estimation. Big Data and Artificial Intelligence techniques are being increasingly applied in the field. The objective of the course is to explore these techniques in the context of the Degree.
The course will be organized in 5 modules of 2-3 week duration. The introduction to each module will be given in Lectures. Afterwards the students will work on understanding a number of Case Studies, taking a critical look at existing solutions and proposing improvements.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Lectures | 15 | 0.6 | 1, 8, 2, 3, 6, 4 |
Type: Supervised | |||
Case Studies | 25 | 1 | 1, 8, 2, 3, 7, 5, 6, 4 |
Type: Autonomous | |||
Development of solutions and programs | 50 | 2 | 1, 8, 2, 3, 7, 5, 6, 4 |
Study | 45 | 1.8 | 1, 8, 2, 3, 4 |
Tutorials with professors | 5 | 0.2 | 1, 8, 2, 3, 7, 5, 6, 4 |
This subject does not provide for the single assessment system.
The more theoretical aspects will be evaluated through a Continuous Evaluation Assessment of 2 hour duration. The more practical aspects will be evaluated through Presentations and Participation in Debates, each of about 2 hour duration.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Continuous Assessment Tests | 14% | 2 | 0.08 | 1, 2, 7, 4 |
Presentations and participation in debates | 86% | 8 | 0.32 | 1, 8, 2, 3, 7, 5, 6, 4 |
Física per a la ciència i la tecnologia Electricitat i magnetisme / La llum / Física moderna : mecànica quàntica, relativitat i estructura de la matèria / Paul A. Tipler, Gene Mosca ; obra coordina per David Jou i Mirabent i Josep Enric Llebot Rabagliati. 2nd ed. Barcelona: Editorial Reverté, 2010. (versión electrónica disponible a través de la Biblioteca de la UAB).
Statistical Data Analysis, G. Cowan, ISBN: 0198501552, 1998.
Python Pocket Reference, O’Reilly, Mark Lutz, ISBN: 0596158084, 2009.
Fundamental Astronomy, Hannu Karttunen, Pekka Kröger, Heikki Oja, Markku Poutanen, Karl Johan Donner. ISBN: 978-3-662-53045-0, 2016
Particle Physics Reference Library: Volume 2: Detectors for Particles and Radiation
Full Text Access:
DOAB Directory of Open Access Books 2020 http://web.b.ebscohost.com/pfi/ExternalLinkOut/PubFinderLinkOut?sid=857a256b-c942-49c2-b16a-ae47c0e48468@pdc-v-sessmgr03&vid=5&Url=https%3a%2f%2flibrary.oapen.org%2fbitstream%2f20.500.12657%2f41753%2f1%2f2020_Book_ParticlePhysicsReferenceLibrar.pdf&Kbid=edp26617004&PackageId=5937&LinkedFrom=PublicationDetail
Springer Physics and Astronomy eBooks 2020 English/International 2020 http://web.b.ebscohost.com/pfi/ExternalLinkOut/PubFinderLinkOut?sid=857a256b-c942-49c2-b16a-ae47c0e48468@pdc-v-sessmgr03&vid=5&Url=https%3a%2f%2flogin.are.uab.cat%2flogin%3furl%3dhttps%3a%2f%2flink.springer.com%2f10.1007%2f978-3-030-35318-6&Kbid=edp26617004&PackageId=3488474&LinkedFrom=PublicationDetail
SpringerOpen Books 2020 http://web.b.ebscohost.com/pfi/ExternalLinkOut/PubFinderLinkOut?sid=857a256b-c942-49c2-b16a-ae47c0e48468@pdc-v-sessmgr03&vid=5&Url=https%3a%2f%2flogin.are.uab.cat%2flogin%3furl%3dhttps%3a%2f%2flink.springer.com%2f10.1007%2f978-3-030-35318-6&Kbid=edp26617004&PackageId=2884047&LinkedFrom=PublicationDetail
Author:
Fabjan
Niko, editor
ISBN:
978-3-030-35317-9
978-3-030-35318-6
Publisher Information:
Springer International Publishing
Resource Type:
Book
Subjects:
English Language
Any type of spreadsheet (LibreOffice Calc, Google Sheets, Microsoft Excel, etc.)
Online pages that generate graphics (desmos.com, geogebra, etc.)
python
Jupyter notebooks