TK8116
Multivariat data- og meta-modellering
Sist undervist 2019
Høst
Trondheim
Engelsk
Om emnet
Faglig innhold
Foreleses høst 2018
Læringsmål
Preparing for Big Data Cybernetics: How to discover the Real World
KNOWLEDGE: In-depth knowledge of techniques for multivariate analysis of data. Knowledge of data-driven modelling (metamodelling).
SKILLS: Be able to build models based on experimental data using the aforementioned methods.
GENERAL COMPETENCE: Skills in applying this knowledge and proficiency in new areas and complete advanced tasks and projects. Skills in communicating extensive independent work, and master the technical terms of multivariate analysis. Ability to contribute to innovative thinking and innovation processes.
Læringsformer og aktiviteter
Lectures, mandatory group work and project.
Compulsory assignments
• Exercise