Applications of Numerical Analysis: Machine Learning for Atmospheric and Oceanic Bioaerosols 1100-MLAOB
Topics to be covered are listed below, each will be applied to specific problems related for bioaersol detection and typing:
1) Linear algebra concepts
2) Optimization techniques
3) Numerical methods for probability estimation
4) Monte Carlo methods
5) Machine learning algorithm implementations
These topics will be applied to specific problems in atmospheric physics.
Main fields of studies for MISMaP
mathematics
environmental protection
geography
biology
Prerequisites (description)
Course coordinators
Learning outcomes
This course will provide students with following learning outcomes, according to thedocumentation provided in following documentation: Efekty kształcenia zg. z charakterystyką II stopnia Polskiej Ramy Kwalifikacji dla kwalifikacji uzyskiwanych w ramach szkolnictwa wyższego – poziom 6-8 (http://www.kwalifikacje.gov.pl/images/Publikacje/Polska-rama-kwalifikacji.pdf)
1. Education / Wiedza: P8S-WG
2. Skills / Umiejętności: P6S-UU, P6S-UO, P7S-UW, P8S-UK
3 . Social competences / Kompetencje społeczne: P7S-KR, P8S-KK
Assessment criteria
The completion of this course will be assessed based on:
- 60% home exercises,
- 40% written exam result.
The topics for the exam will be given 3 weeks in advance and will cover the material realized during lectures.
During the exam session one written exam and one make-up exam are planned.
Attendance at lectures and tutorials is compulsory.
Bibliography
The list of references will be provided during the lectures.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: