Big Data and Artificial Intelligence for Environmental, Ecological and Biological Science: An Introduction
The “Big Data and Artificial Intelligence for Environmental, Ecological and Biological Science: An Introduction” course, coded BIO-3032, unfolds in a structured, multi-faceted approach to facilitate a profound understanding of Big Data and AI, emphasizing their pivotal roles in ecological and biological sciences. It encompasses 10 ECTS, translating to a comprehensive 300 hours of student engagement across various learning modalities, thoughtfully designed to cater to diverse learning preferences and promote an inclusive educational environment.
Provided by: UiT The Arctic University of Norway
The course provides an introduction to Big Data and AI, focusing on data extraction, analysis, and predictive analysis. Students will learn about different data formats and techniques for converting data, as well as testing, correlation, clustering, and data visualization. The course covers open-access data and FAIR principles and uses real-world big data sets related to environmental, ecological and biological sciences. Students will create AI algorithms to analyze big data. The course emphasizes collaboration and group work, preparing students for careers at the intersection of science and society.
Tromsø University, Tromsø & Online
Deep tech fields
Artificial Intelligence & Machine Learning (including Big Data)
Analyse big data; Data mining; Principles of artificial intelligence; Algorithms; Python (computer programming); Data visualisation; Sustainability analytics