Introduction to Artificial Intelligence (AI) DAT105

Upon successfull completion of the course, the student should have the following learning outcomes:

Knowledge

Know what AI is, and the differences between AI and AGI.
Know basic terminology within the AI-domain: deep learning, generative AI or large language models (LLM).
Know some of the main requisites to develop AI systems such as ChatGPT.
Know some of the current limitations of AI systems.
Know what the current main types of generative AI applications are.
Know what the main available tools for generative AI are.
Know what the best practices for generative AI tools are.
Know what the ethical implications of using AI systems are.
Know some of the legal limitations and implications of using AI systems.

Skills

Be able to assess if AI is appropriate for the problem under consideration.
Be capable of being critical about the output of an AI system.
Be able to use generative AI tools.
Be able to choose the right AI tool for your problem.
Be able to understand common AI concepts and talk about them.

This is an online course which is structured through flexible modules that contain several short video lectures. The lectures is in English, and are subtitled in Norwegian. Optional gatherings/Q&A-sessions on campus will be offered.

The final project will be available through most of the semester, so that you can work on it at the same time as you follow the lectures. The project assignment is individual and students are expected to deliver substantially different reports, either in the form of different problem choices or different proposed methodology to solve similar problems.
 
The student is expected to choose a problem deemed relevant in their area of expertise (job, study…), and propose a solution using the AI knowledge and tools learnt during the course. Initial problem examples and expected types of solutions will be provided by the instructor. An initial assessment of the problem will be available for those students that want to ensure their problem choice is relevant. If a student is facing difficulties, the instructor will provide support to define the problem.
 
The project can be written in english or norwegian.

Higher Education Entrance Qualification (GSK = grunnleggende studiekompetanse) or prior learning (realkompetanse).

Read more about the admission requirements here: Universitet og høgskole - Samordna opptak. If you apply on the basis of formal competence , the necessary documentation must be uploaded at the same time as you apply.

Admission based on prior learning (realkompetanse)

If you wish to apply for admission to higher education, are aged 25 or over and do not have higher education entrance qualifications, you may apply on the basis of prior learning. The University of Stavanger itself has the authority to assess what qualifications that are required. Please upload a CV and work-certificate.

Applicants with a foreign education 

You must document their higher education entrance qualification according to the GSU-list. You can find more information about the GSU-list here: https://www.nokut.no/en/foreign-education/GSU-list/ by choosing the country where your education is taken. The language requirement is mandotary for English and Norwegian.

You must upload an offical translated diploma in either English or a Scandinavian language before submission.

Language requirements

Applicants with Norwegian or English as a second language must document sufficient knowledge of Norwegian or English.

To learn more about the language requirement go to Samordnaopptak https://www.samordnaopptak.no/info/utenlandsk_utdanning

You can also go to NOKUT to see which countries require an English test (GSU list) GSU-listen | Nokut.

If you do not meet the language requirements above you may apply on the basis of prior learning. If the default language at work is english, please upload a document from your manager/HR manager that confirms your language proficiency.