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||BSc Project (Informatics)|
|Type of exam|
Oral exam based on a project
|Assessment||7-point grading scale|
|Type of grading||External examination|
|Criteria of assessment||The criteria of assessment are stated in the Examination Policies|
|Danish title||Bachelorprojekt (Informationsbehandlende systemer)|
|Language of instruction||Danish|
|Location of the lecture||Campus Aalborg|
|Responsible for the module|
|Study Board||Study Board of Electronics and IT|
|Department||Department of Electronic Systems|
|Faculty||Technical Faculty of IT and Design|