BSc Project (Informatics)

2019/2020

Content, progress and pedagogy of the module

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.

Learning objectives

Knowledge

  • Must have knowledge about the building blocks in a generic classification system
  • Must be able to understand how a particular classification system e.g. the semester project of the student, relates to similar systems and to the surrounding society

Skills

  • Must be able to analyze a problem and, if possible, suggest a solution that uses relevant theories and methods within the fields of feature extraction and classification
  • Must be able to analyze a system that includes feature extraction and/or classification and identify relevant constraints and assessment criteria. This relates to the technical aspects of the system and (if relevant) the usefulness to society
  • Must be able to synthesize, i.e., design and implement, a system (or parts thereof) using relevant feature extraction and classification theories and methods
  • Must be able to evaluate a classification system (or parts thereof) with respect to the afore mentioned assessment criteria

Competences

  • Must be able to select and extract relevant features and apply these in a new context
  • Must be able to communicate the above knowledge and skills (using terminology of the field), both orally and in a written report

Type of instruction

Academically supervised student-governed problem oriented project work.

Lectures together with teacher/supervisor guided self-studies and/or mini projects.

Exam

Exams

Name of examBSc Project (Informatics)
Type of exam
Oral exam based on a project
ECTS20
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations.

Facts about the module

Danish titleBachelorprojekt (Informationsbehandlende systemer)
Module codeESNEITB6P4
Module typeProject
Duration1 semester
SemesterSpring
ECTS20
Language of instructionDanish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyTechnical Faculty of IT and Design