IKT464 Advanced ICT Project
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Per-Arne Andersen
- Lecture Semester:
- Spring, Autumn
- Teaching language:
- English
- Duration:
- 1 term
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
EnglishCourse 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.
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.
Teaching methods
Combination of lectures, assignments, paper studies, lab, report writing, and self-study. The tasks are done individually or in small groups of 2 students with group supervision. The workload for the average student is approximately 200 hours.
Evaluation
The person responsible for the course decides, in cooperation with the student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.
Offered as Single Standing Module
Yes, if there are places available.
Admission Requirement if given as Single Standing Module
Admission requirements for the course are the same as for the master’s programme in ICT.
Assessment methods and criteria
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.