Computer Vision

2023/2024

Recommended prerequisite for participation in the module

The module builds upon knowledge obtained during the 1st semester.

Content, progress and pedagogy of the module

The objective of this course module is to provide students with core competencies within the field of computer vision and hereby enabling them to design and implement software systems for automatic or semi-automatic analysis of an image or sequence of images

Learning objectives

Knowledge

  • Must have knowledge about the terminology within computer vision
  • Must be able to understand how a particular computer vision system e.g. the Semester project of the student, relates to similar systems and, if relevant, to the surrounding society
  • Must know how to formulate own competences related to PBL

Skills

  • Must be able to analyze a problem and (if possible) suggest a solution that uses relevant theories and methods from computer vision
  • Must be able to analyze a system that is based on computer vision and identify relevant constraints and assessment criteria.
  • Must be able to synthesize, i.e., design and implement, a system (or parts hereof) using relevant theories and methods (if possible) from computer vision
  • Must be able to evaluate a computer vision system (or parts hereof) with respect to the afore mentioned assessment criteria
  • Can reflect over own use of PBL methods and how these methods can be used in future projects and work situations

Competences

  • Must be able to communicate the above knowledge and skills (using proper terminology) both orally and in a written report
  • Must be able to select relevant computer vision theories, methods, and tools, and synthesize them in a new context to produce new knowledge and solutions

Type of instruction

Project work

Exam

Prerequisite for enrollment for the exam

  • An approved PBL competency profile is a prerequisite for participation in the project exam

Exams

Name of examComputer Vision
Type of exam
Oral exam based on a project
ECTS15
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleComputer vision
Module codeESNVGISK2P2
Module typeProject
Duration1 semester
SemesterSpring
ECTS15
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Education ownerMaster of Science (MSc) in Engineering (Vision, Graphics and Interactive Systems)
Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyThe Technical Faculty of IT and Design