AI in the Context of Computer Engineering

2022/2023

Content, progress and pedagogy of the module

Learning objectives

Knowledge

The student should have knowledge about:

  • How different Artificial Intelligence methods, incl Machine Learning, can be used to solve a concrete problem within the field of Computer Engineering
  • Specific in-depth knowledge about at least one advanced method or technology applied in the field of Computer engineering, such as modelling and performance analysis of networks and distributed systems; computer vision; sound technology.

Skills

  • Can explain the process of and criteria for choosing an approach within the AI toolbox to solve a concrete problem within the field of Computer EngineeringĀ 
  • Can identify a suitable method and apply it to solve a concrete problem within the field of Computer EngineeringĀ 
  • Can analyse the performance and discuss the results, advantages and disadvantages of the chosen AI method

Competences

  • Must be able to analyze a selected problem within Computer Engineering field and apply one of the methods from AI toolbox to produce a new knowledge and/or solution

Type of instruction

As descript in Ā§17

Exam

Exams

Name of examAI in the Context of Computer Engineering
Type of exam
Oral exam based on a project
ECTS20
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleAI i konteksten af computerteknologi
Module codeESNNDSK3P8
Module typeProject
Duration1 semester
SemesterAutumn
ECTS20
Language of instructionEnglish
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