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Vår 2026
INF-3210 Energy Informatics - Green Computing - 10 stp
The course is administrated by
Institutt for informatikk
Type of course
The course can be taken as a singular master-level course.
Course overlap
INF-3910-2 Computer Science Seminar: Green Computing 10 ects
Course contents
The course covers various aspects of green computing, particularly the principles and applications of energy- and resource-efficient computing, including green AI, edge intelligence, and datacenter. It consists of two parts. The first part, "Principles of energy- and resource-efficient computing systems," considers various energy- and resource-efficient techniques across different system stack levels, including computer architecture, runtime systems, libraries, frameworks, and algorithms. The second part, "Leveraging green computing towards sustainable development," considers green computing applications to monitor and reduce the environmental impact of ICT and other segments such as energy.
Admission requirements
Higher Education Entrance Requirement + Bachelor's degree in Computer Science or similar education. The Bachelor degree must contain a specialization in Computer Science worth the equivalent of not less than 80 ECTS credits. Application code: 9371 - Singular courses at master's level.
Objective of the course
Knowledge - the student has
- knowledge of the main topics of green computing at an introductory level
- knowledge of the central challenges of green computing
- knowledge of applications of energy- and resource-efficient computing systems, including Green AI and edge intelligence
- knowledge of leveraging computing systems towards sustainable development (e.g., energy-efficient data centers, observation systems for sustainable development, smart power grid)
Skills - the student can
- design and analyze algorithms and protocols for energy efficiency
- select development environments and tools to develop energy-aware applications and systems towards sustainable development
- present and discuss energy- and resource-aware computing systems and applications
General competence - the student know
- how to read literature, extract information from it, and present it coherently in public
- how to conduct technical reviews and come up with critiques to current solutions to open problems
- how to write technical reports
Language of instruction
The language of instruction is English, and all of the syllabus material is in English. Examination questions will be given in English but may be answered either in English or a Scandinavian language.
Teaching methods
Lectures: 30 hours, Colloquium: 30 hours, Laboratory guidance: 30 hours. These include review and critique of scientific papers, conducting experimental studies, and writing technical reports.