One of the cornerstones in modern engineering is automatic interpretation of measurable signals. As an example consider recycling of glass bottles. When you place a used bottle in a reverse vending machine in your local grocery store, a sensor(here a camera) takes a picture of the bottle and automatically extracts characteristics (known as features) such as dimensions, shape, color etc. These features are then fed to a classification process where they are compared with prototypical features stored in a database. The classifier then makes a decision regarding the type of bottle and whether it is broken or not.
The purpose of this project module is for the students to work with a concrete problem where they first extract relevant features from some input signal, e.g., audio or video, and then classify the input into a number of different categories.
Academically supervised student-governed problem oriented project work.
Lectures together with teacher/supervisor guided self-studies and/or mini projects.
Name of exam | Bachelor's Project: Informatics |
Type of exam | Master's thesis/final project |
ECTS | 20 |
Assessment | 7-point grading scale |
Type of grading | External examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Danish title | Bachelorprojek: Informationsbehandlende systemer |
Module code | ESNEITB6P8 |
Module type | Project |
Duration | 1 semester |
Semester | Spring
|
ECTS | 20 |
Language of instruction | Danish and English |
Empty-place Scheme | Yes |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Study Board | Study Board of Electronics and IT |
Department | Department of Electronic Systems |
Faculty | The Technical Faculty of IT and Design |