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
|7-point grading scale
|Type of grading
|Criteria of assessment
|The criteria of assessment are stated in the Examination Policies and Procedures
|Bachelorprojek: Informationsbehandlende systemer
|Language of instruction
|Danish and English
|Location of the lecture
|Responsible for the module
|Study Board of Electronics and IT
|Department of Electronic Systems
|The Technical Faculty of IT and Design