Course
Data and Physics Driven Modelling (MOD900)
Dette er emnebeskrivelsen for studieåret 2021-2022
Semesters
Fakta
Emnekode
MOD900
Vekting (stp)
10
Semester undervisningsstart
Spring
Undervisningsspråk
English
Antall semestre
1
Vurderingssemester
Spring
Timeplan
Litteratur
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 decision and data science as it applies to energy resources. 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 decision and data science as applied to energy resource engineering as well as understand how principles applies within research. The candidate should have a deep and broad understanding of how to apply these principles to support energy resources related decision making.
Skills:
- Skills needed to build a good basic decision model and to use it in generating powerful insights into the decision situation
- Be able to apply and construct decision models and to use the most important elements in decision analysis relevant to engineering type decision-making 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 | Exam system | Withdrawal deadline | Exam date |
|---|---|---|---|---|---|---|---|
| Project work | 1/1 | Passed / Not Passed | — | — | — | ||
| Portfolio | 1/1 | Passed / Not Passed | — | — | — |
Portfolio assessment:
- Achieve a grade of B or better in one of the courses MOD500, MOD550, PET685, or PET585
- Pass a project related to the course to be determined by the PhD student’s advisor
Vilkår for å gå opp til eksamen/vurdering
Achive a grad B or better in MOD500, MOD550, PET685 and PET585, Achieve a grade B or better in MOD500, MOD550 or PET685
Fagperson(er)
Head of Department:
Alejandro Escalona VarelaCourse coordinator:
Enrico RiccardiMethod of work
Lectures and independent work
Åpent for
PhD Students
The course description is retrieved from FS (Felles studentsystem). Version 1
