ITEVU4120 – The value of data in decision-making

Course content

This course provides an overview of methods and technologies for collection, management, processing and use of data in decision-making processes and in artificial intelligence. The course is an overall introduction and forms the basis for a series of courses with more in-depth study of selected areas, e.g. in machine learning/deep learning and representation of knowledge through digital twins. The course will have a special focus on the importance of data and machine learning for green transformation and sustainability.

Learning outcome

After taking this course you'll:

• have knowledge of important issues related to what data is, where data comes from and how data can be managed
• have knowledge of important challenges and opportunities related to the use of data and machine learning in decision-making processes and in artificial intelligence
• through selected examples have gained an overview of how methods, algorithms, structures and systems can be put together into solutions

Admission to the course

In order to take the course, Higher Education Entrance Qualification is required. In addition, it is assumed that applicants have a professional educational maturity corresponding to a bachelor's degree in science. Some EVU-courses will also require or build on certain prior knowledge in order for participants to fully benefit from the teaching. Although such prior knowledge is not a requirement for admission, we would advise against applying for courses where you lack recommended prior knowledge. For those courses where this is relevant, it will be stated in the course description.

Apply for admission

1. The link above will direct you to the admission portal EVUweb.
2. Choose "University of Oslo" as institution.
3. Click on "Register application".
4. Log in with ID-porten, Feide eller eIDAS.
5. Add or change user information and create user.
6. Follow the instructions of the application form and submit application.

Formal prerequisite knowledge

Higher Education Entrance Qualification

Teaching

Theaching is done through lectures and group work over 3 work days.

Examination

Project assignment which counts 100 % towards the final grade.

When writing a project assignment make sure to familiarize yourself with the rules for use of sources and citations. Breach of these rules may lead to suspicion of attempted cheating.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

More about examinations at UiO

• Use of sources and citations
• Special exam arrangements due to individual needs
• Withdrawal from an exam
• Illness at exams / postponed exams
• Explanation of grades and appeals
• Resitting an exam
• Cheating/attempted cheating

You will find further guides and resources at the web page on examinations at UiO.