Bachelor Thesis in Artificial Intelligence
Level of Study
Will be offered for the first time spring 2024
Objectives and Content
The goal of the course is that the students should be able to conduct a self-contained discussion and analysis of an AI problem using the "toolbox" they have acquired through the bachelor's program.
The course consists of a general introduction to writing a bachelor's thesis in addition to a self-selected AI or AI and society problem / project description that will result in the completed thesis. The assignment should be based on a topic that will be discussed from a theoretical perspective, earlier research or a programming project. The Department of Information Science and Media Studies and the Department of Informatics contributes with a list of proposals for topics and issues
A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Kunnskap The candidate...
- can use theory and software development to understand and solve AI issues
- have knowledge of scientific writing and source usage
Dugleikar The candidate...
- can formulate, discuss and analyze an AI problem
- can write a clear and structured paper
- can obtain appropriate literature
- master written and oral presentation of own work
- can critically discuss others' work
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Open only to students at the Bachelor's programme in Artificial Intelligence
Teaching and learning methods
Group meeting 1 (3 hours), individual guidance (30 minutes), group meeting 2 with presentation and opposition (4 hours)
Compulsory Assignments and Attendance
- Approved project description, oral presentation and participation in 1st group meeting
- Approved first draft and participation in individual guidance
- Approved draft of the 2nd group meeting, as well as oral presentation and opposition to the collection
- Please note that only a quarter of the compulsory requirements will be approved, and that only one is valid during the semester.
Forms of Assessment
The grading system has a descending scale from A to E for passes and F for fail.
Spring. Assessment only in the teaching semester
The reading list will be ready before 1 June for the autumn semester and 1 December for the spring semester.
All courses are evaluated according to UiB's system for quality assurance of education.
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course coordinator and administrative contact person can be found on Mitt UiB.
The Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.