HMS0508 – Good Use of Artificial Intelligence
Course content
Learning outcome
After completing the course, you will be able to:
- Explain what artificial intelligence is, and give examples of systems that use it.
- Explain what makes artificial intelligence generative, and describe how language models work.
- Explain which rules apply at the Faculty of Mathematics and Natural Sciences regarding data security and personal information.
- Explain the challenges that AI technology brings with regard to copyright.
- Describe the five levels of the SOLO taxonomy, and give examples of learning-enhancing uses of AI when a student is at each level.
- Explain why naive use of AI can be harmful for learning.
- Give examples of good use of language models at a specific level of the SOLO taxonomy.
Admission to the course
Teaching
The course is offered as digital self-study in Canvas.
Please note that the course has a digital online exam, and you must be both registered for teaching and registered for the exam for the correct semester in order to receive a passing result in Student Web.
Examination
The self-study course includes an integrated digital exam that must be passed in order to pass the course. Please note that you must be both registrered for teaching and registered for the exam in HMS0508 for the correct semester to receive a passing result in StudentWeb.
The digital exam consists of multiple-choice questions and can be taken many times. When the exam is approved in Canvas, you will receive an email with a course certificate, but the course is not considered passed until the result is visible under “Results” in StudentWeb.
Students who have not passed HMS0508 – Good use of Artificial Intelligence will not receive an approved degree from the Faculty of Mathematics and Natural Sciences if HMS0508 is mandatory in the programme or a required prerequisite for courses in the degree.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- 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.