Course

Data and Physics Driven Modelling (MOD900)

Background formation PhD course. The course is intended to enhance the background level of the student to a suitable level to conduct Research on the candidate's topic.


Dette er emnebeskrivelsen for studieåret 2025-2026

Fakta

Emnekode

MOD900

Vekting (stp)

10

Semester undervisningsstart

Spring

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Spring

Content

The purpose of this course is to broaden the PhD Fellow's knowledge beyond the main PhD dissertation topic. The PhD Fellow will, on his/her own accord, work through the curriculum with the intent of developing a broad and solid understanding of modeling as it applies to computational engineering approaches. The candidate will also do independent research in the topic area.

Learning outcome

Knowledge:

  • Upon completion of the course the PhD candidate should understand the fundamental principles of data science and modeling as applied to computational engineering as well as understand how principles applies within research.

Skills:

  • Skills needed to build a good basic model and to use it in generating new informed insights
  • Be able to apply and construct models and to use the most important elements at different level of scale in the face of uncertainty.

General competence:

  • The PhD candidate should understand fundamental logical principles and analyses and be able to communicate their choices and recommendations clearly.

Forkunnskapskrav

Ingen

Exam

Form of assessment Weight Duration Marks Aid
Oral exam 1/1 Passed / Not Passed All


Individual oral exam

Vilkår for å gå opp til eksamen/vurdering

Achieve a grade B or better in MOD500, MOD550 or PET685

Fagperson(er)

Course coordinator:

Reidar Brumer Bratvold

Head of Department:

Alejandro Escalona Varela

Method of work

Lectures and independent work

Åpent for

PhD Students

Emneevaluering

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1