ACIT4090 Globalisation of Technology Course description

No formal requirements over and above the admission requirements.

No formal requirements over and above the admission requirements.

Teaching approach is a combination of traditional weekly lectures and assignments, student- led seminars, and a final project. Lectures will present the core theory of the course content and homework will focus on theoretical knowledge. In student-led seminars, topical research papers will be presented and discussed. The final project exposes the student to a chosen real- world problem relevant to the course topic.

Practical training

The student will be exposed to programming with repositories such as ImageNet and ShapeNet and will have created solutions for real-world problems related to data-driven graphics and imaging.

• Individual student presentation (20 %)
• One individually written evaluation of another student presentation (1-2 pages) (10%)
• Individual final project report (between 25 and 35 pages) (70 %) All exams must be passed in order to pass the course.The assessment of the presentation cannot be appealed.

• A group project plan must be approved before the project starts. Students will receive feedback during the planning stage of the project. Groups carry out projects, which last for one month, according to the approved project plan.
• A 30-minute group project presentation is to be delivered in a mini-conference in class in the end of the semester.

All printed and written aids and a calculator that cannot be used to communicate with others.

For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

Two internal examiners. External examiner is used periodically.

We assume good background in programming, machine learning, and linear algebra. Knowledge of computer graphics and image processing is preferable, but not strictly required.