Green Transition (IND570)

In the course, students learn about practical methods for carrying out technical-economic calculations related to the green transition measures (e.g., reduction in GHGs emission).


Course description for study year 2024-2025

Facts

Course code

IND570

Version

1

Credits (ECTS)

10

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Content

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th for the autumn semester.

The course will offer tools for evaluating the effects of technological change and investments related to green transition and, thus, a real basis for decision-making. The aim is to learn practical methods for carrying out technical-economic analyses related to measures facilitating the green transition, such as renewable energy investments to reduce greenhouse gases (GHGs) emission. The subject will be project-oriented and will provide students competence in carrying out analyses in demand in industries and authorities related to the green transition.

Concrete examples of these analyses are expected to be carried out for the project, in addition to looking at the various aspects that influence the measures, such as regulation, and markets. The students will also have the opportunity to interact with several companies by discussing with them green transition challenges and opportunities.

Learning outcome

Knowledge

Upon completion of the course, students will have acquired a thorough understanding of:

  • Concepts and definitions related to the Green Transition:

    • What is it, why do we need it, and what can be done about it.
    • What incentives the agents have to address the Green Transition.
  • Tools used for analysing potential solutions to address the challenges within the Green Transition (e.g., Design Thinking, Life Cycle Analysis (LCA), Risk and Investment analysis)
  • Examples of current solutions (e.g., technologies) to carry out the Green Transition, including the incentives and barriers for adoption

Skills

Upon completion of the course, students will be able to:

  • Identify what are the incentives and barriers to address the Green Transition
  • Identify relevant variables and data for use in analysis of potential solutions for addressing the Green Transition
  • Identify relevant technical-economic calculation methods and tools for various issues related to the Green Transition from socio and business economic perspectives
  • Have experience of applying some tools (e.g., design thinking) for analysing potential solutions to address the Green Transition challenges
  • Have experience of proposing, reporting, and discuss solutions to Green Transition challenges

General competence

Upon completion of the course, students will be able to:

  • Identify relevant aspects related to assessments on environmental, social, and economic impacts of a production system
  • Collaborate in an interdisciplinary context
  • Carry out and report (techno-economic) analysis of potential solutions for interdisciplinary challenges
  • Critically discuss assessments on environmental, social, and economic impacts of a production system

Required prerequisite knowledge

None

Exam

Form of assessment Weight Duration Marks Aid
Portfolio assessment 1/1 1 Semesters Letter grades

Portfolio assessment is a form of examination where several work/assignments are delivered during the semester, but where these are then assessed together and given a common grade. The portofolio consists of several reports that are done in groups and that are delivered during the semester, and where these are then assessed together and given a joint grade. A grade is not given until all the work/assignments have been submitted and the folder as a whole is censored. There are no continuation options on the folder, students who want to improve their grade can do this the next time the subject has regular teaching.

Coursework requirements

2 assignments
Two mandatory submissions must be passed in order to deliver the final project report

Course teacher(s)

Course teacher:

Frida Layti

Course coordinator:

Ruth Beatriz Pincinato

Method of work

The course consists of lectures and group assignments (4 hours of lectures or equivalent per week).

Open for

Data Science - Master of Science Degree Programme Biological Chemistry - Master of Science Degree Programme City and Regional Planning - Master of Science Computational Engineering - Master of Science Degree Programme Datateknologi - master i teknologi/siv.ing. Energy, Environment and Society - Master's Degree Programme Change Management - Master's Degree Programme Miljøteknologi - master i teknologi/siv.ing. Industrial Economics - Master of Science Degree Programme Structural and Mechanical Engineering - Master of Science Degree Programme Industriell teknologi og driftsledelse - master i teknologi/siv.ing. Marine and Offshore Technology - Master of Science Degree Programme Petroleum Engineering - Master of Science Degree Programme Risk Analysis - Master of Science Degree Programme Robot Technology and Signal Processing - Master of Science Degree Programme Business Administration - Master of Science

Course assessment

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 subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

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