TK8116

Multivariat data- og meta-modellering

Sist undervist 2019

Høst

Trondheim

Engelsk

Oversikt

Ståprosent

84 %

6 poeng

Karakterfordeling
Ståprosent over tid

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