Course - Sustainability Analytics - AM512030
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:
- Define and explain central concepts, technologies and methods proposed for sustainability analytics
- Define key components of sustainability analytics decision support systems
- Describe and apply systems engineering in developing decision support systems
- Describe key challenges and concerns related to decision support system development
- Analyze sustainability challenges using key analytics methods, tools and approaches
- 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.
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Ålesund
- Economics and Administration
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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"