IKT464 Advanced ICT Project (Spring 2027)
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Ole-Christoffer Granmo
- Lecture Semester:
- Autumn and Spring
- Teaching language:
- English
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
- Artificial Intelligence and The Internet of Things, Master's Programme
- Artificial Intelligence, 5-year master programme
Teaching language
Learning outcomes
On successful completion of this course, the student should
- be able to design, analyse, and implement advanced systems, or solve an advanced problem.
- have comprehensive knowledge of and the ability to independently work out solutions within the sub-area the student chooses to specialize in.
- be able to identify relevant literature and apply theoretical models to the problems at hand.
Contents
The course is based upon ongoing research in the department or relevant needs of the industry and deepens expertise within a focused application- or research area. Individually or in small groups, students specialize in topics that are approved by members of the academic staff. The topics should be relevant for the specialization profile the students have chosen. The students may be required to present scientific papers.
In addition to the pre-approved course topics, it is possible to propose a certain topic that a student can work on from research groups at UiA or from the industry. The course responsible person must approve the topic based on two requirements:
1. The topic should be within the ICT domain and the technical depth of the topic is at the Master level.
2. There is a permanent employee who is the supervisor of the topic.
Teaching and learning methods
Examinations
Graded portfolio assessment, individually or in groups. Groups are given joint grades.
Information about the content of the portfolio will be given in Canvas by the start of the semester. There will not be arranged a postponed exam for the portfolio.