1. uit.no
  2. nyheter
  3. kortnytt
  4. Fall semester 2026: New bachelor and master course offered

Fall semester 2026: New bachelor and master course offered

The Department of Computer Science will in the fall semester 2026 offer a new bachelor level course INF-2204 Computer Systems Experiments, Methodologies, Performance Measurements and Evaluation. In addition we offer the course INF-3010 Energy Informatics - Smart Energy and Power Systems Modelling, which was last given as an ordinary course back in autumn 2022.
Ilustration photo: Smart Energy and Power Systems IoT Smart City Concept.
Ilustration photo: Smart Energy and Power Systems IoT Smart City Concept. Foto: mostphotos.com
Hopp til artikkelens forfatter(e)
Portrettbilde av Fuglesteg, Jan
Fuglesteg, Jan jan.fuglesteg@uit.no Studierådgiver
Publisert: 16.06.26 19:24 Oppdatert: 22.06.26 08:53
Energi Studentliv / Studier Teknologi

INF-2204 Computer Systems Experiments, Methodologies, Performance Measurements and Evaluation
Associate Professor Issam Rais Department of computer science (UiT) will be responsible for the course. The language of instruction is English and all of the syllabus material is in English.

Target group
Students who started on the 5-year Integrated master in computer Science program fall semester 2024 or earlier and have not taken the 20 credit INF-2201 (OS course) are required to take both INF-2203 and INF-2204 since the latter will be recommended prerequisites for taking mandatory master's courses later in the program. It is also mandatory for students starting on the program from fall semester 2025 or later.

Even if it is not mandatory to take the course for the bachelor students who started fall semester 2024 or earlier we still recommend the students to choose it as an elective course. Bachelor students who plan to take a 2-year master's degree in computer science at IFI are strongly recommended to take INF-2204 since this course will be recommended as prerequisite knowledge for taking mandatory master's courses later in the program.

The course is not offered to bachelor students in Mo i Rana.

The course is not approved for use in a 2-year master's program in computer science.

Recommended prerequisites
INF-2200 Computer architecture and organization, INF-2203 Operating Systems Fundamentals

Course content
Conducting systems experiments, including performance measurements and analysis of the results, are necessary to understand the behaviors and properties of systems, including scaling and energy efficiency. The systems include operating systems, databases, compilers, networking systems, distributed systems, concurrent systems, and parallel systems. The aim is to learn how to correctly design experiments, do performance measurements, and evaluate the results.

Course objectives and other course info: https://uit.no/utdanning/emner/emne/923464/inf-2204
Tentative lecture plan and course timeline: https://tp.educloud.no/uit/app/schedule?semester=26h&scheduleType=course&filterOpen=true&summary=true&tab=calendar&course=INF-2204%C2%A41


INF-3010 Energy Informatics - Smart Energy and Power Systems Modelling
Associate Professor Chiara Bordin, Department of computer science (UiT) will be responsible for the course. The language of instruction is English and all of the syllabus material is in English.

Target group is master level students at both the 2-year and 5-year master program. The course is categorized as an elective course in both these programs and can also be a specialisation for the 5-year program. The course is also very relevant for master students at other departments at the Faculty of Science and Technology.

Course content
This course covers the Energy Informatics discipline through the use of mathematical optimization as a background. The course will discuss how mathematical optimization, in the context of computer science, can contribute to more effectively manage smart energy and power systems. The content of this course can be summarized as follows. An introduction to energy systems and power systems will be provided, together with a broad overview of topics where the most relevant energy and power systems challenges and opportunities can be identified. Afterwards, the fundamental concepts of mathematical optimization will be presented, with focus on applications for energy and power systems related problems. Finally, broader perspectives of smart energy and power systems modelling in the context of Energy Informatics will be addressed. This will lead to discussions on relevant links that exist at the intersection of energy systems, power systems, economics, computer engineering, social science, computer science, applied mathematics.

Recommended prerequisites:
Basic knowledge in physics, linear algebra or discrete mathematics; and basic programming skills in Python.

Course objectives and other course info: https://uit.no/utdanning/emner/emne/923470/inf-3010
Tentative lecture plan and course timeline: https://tp.educloud.no/uit/app/schedule?semester=26h&scheduleType=course&filterOpen=true&summary=true&tab=calendar&course=INF-3010%C2%A41

For this course a PhD Version of the course is available and can be considered relevant for the PhD training Component. PhD students must register for the exam through the Studentweb within September 1st, 2026.

Kortnytt fra Institutt for informatikk
Fuglesteg, Jan jan.fuglesteg@uit.no Studierådgiver
Vi anbefaler
Gruppebilde, fem personer, foran en projektorskjerm.
– Kan føre til store endringer i måten vi lærer på
Oversiktsbilde av hus og kirke i Bossekop
Da samisk ble redningen, og undergangen for Altas første lærerskole
Fem glade UiT-studenter og vinnere av Norges beste studentbedrift 2026
UiT-studenter vant Norgesmesterskapet for studentbedrifter
Professor Robert Jenssen fotografert ved Labyrinten ved UiT i Tromsø.
Skal diskutere Norge og Japans fremtidige KI-samarbeid
ju
30
Robotikk, sensorer og databehandling / Sensors and Data Acquisition in Robotics NORSK: Ønsker du å lære om hvordan du kan bygge sensorsystemer, som kan tas i bruk innen robotikk og mekatronikk? University of Alcalá (UAH) holder en workshop i juli hvor du kan bygge kompetanse og kunnskap på dette feltet. ENGLISH: Do you want to learn how to build sensor systems that can be utilised in robotics and mechatronics? The University of Alcalá (UAH) is arranging a workshop in July where you can develop skills and knowledge in this field.
jul
06
Innføring i programvaredefinert nettverkssamarbeid / An introduction to Software-Defined Networking NORSK: Med dagens utvikling innen kunstig intelligens og maskinlæring kreves det at kommunikasjonsplattformer og nettverksarkitektur oppgraderes i et høyt tempo. I juli holder Universitetet i Alcalá et kurs om ny utvikling på dette feltet.   ENGLISH: With today’s development of artificial intelligence and machine learning, communication platforms and network architecture are required to be upgraded at a rapid pace. In July 2026, the University of Alcalá will host a course about new development in this field.
Siste nytt fra UiT
Et knippe rektorer og politikere viser hjertetegn med hendene på en scene med masse glade, forventningsfulle studenter i bakgrunnen.
Hjertelig velkommen til studiestart 10. august
Folk samlet i trapp for å bli tatt bilde av
Samlet forskere fra hele verden for å bygge bro mellom teori og praksis
Person i sentrum av klasserom omgitt av publikum
Førebudde seg på det utenkjelege
Elvebåt i elvekanten
ERC Advance Grant til UiT: Hvordan påvirker klimaendringer lakseelvene?