AI in the Context of Computer Engineering

2023/2024

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 Engineering 
  • Can identify a suitable method and apply it to solve a concrete problem within the field of Computer Engineering 
  • 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 §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

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