course-details-portlet

AM512030 - Sustainability Analytics

About

New from the academic year 2024/2025

Examination arrangement

Examination arrangement: Portfolio
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio 100/100

Course content

This course introduces Sustainability Analytics (SA), a new interdisciplinary research field, which aims to offer data-driven decision support for sustainable development of operations in private and public sectors. The digital transformation with its changes through combination of information, computing, communication and connectivity technologies, offers new possibilities for developing data-driven machine learning solutions to support the creation of decision support systems and guide the industry in a more sustainable direction.

This course is interdisciplinary, combining data science, sustainability science, and management science.

Learning outcome

On satisfactory completion of this course, you should be able to:

  1. Define and explain central concepts, technologies and methods proposed for sustainability analytics
  2. Define key components of sustainability analytics decision support systems
  3. Describe and apply systems engineering in developing decision support systems
  4. Describe key challenges and concerns related to decision support system development
  5. Analyze sustainability challenges using key analytics methods, tools and approaches
  6. Plan, design, implement and test a sustainability analytics decision support system for organizational problem solving

Learning methods and activities

Lectures, self-study, pen-and-paper exercises, computer exercises, and project work.

Further on evaluation

There will be no re-sit exam in this course. If students want to improve their grade on the next ordinary exam, they only need to submit the final report.

Specific conditions

Admission to a programme of study is required:
International Business and Marketing (860MIB)

Course materials

Course literature will be announced at the start of the course.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of International Business

Examination

Examination arrangement: Portfolio

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio 100/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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