Machine Intelligence

2022/2023

Content, progress and pedagogy of the module

Machine intelligence refers to advanced computing technologies that enable a machine or system to interact with the environments or solve complex problems in an intelligent way with no need for a predefined set of rules.  Such systems rely on machine learning and artificial intelligence methods among others.

The project module aims to extend the knowledge and skills of students for applying the related technologies and methods to real-world problems.

Learning objectives

Knowledge

Students must have knowledge about

  • Machine learning and its application to real-world problems and systems
  • Discrete time stochastic linear dynamic systems
  • Various machine intelligence techniques used in selected engineering disciplines and applications

Skills

  • Must be able to analyze a given engineering problem and identify suitable methods to solve the problem
  • Must be able to design and implement algorithms for a given problem  
  • Must be able to characterize the performance of machine intelligence systems

Competences

  • Must have competences in discussing scientific topics within machine intelligence
  • Must have competences in developing machine learning solutions for selected engineering problems
  • Must have competences in analyzing and designing solutions to problems involving stochastic signals and systems 

Type of instruction

As described in §17

Exam

Exams

Name of examMachine Intelligence
Type of exam
Oral exam based on a project
ECTS10
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 titleMaskinintelligens
Module codeESNESK1P1
Module typeProject
Duration1 semester
SemesterAutumn
ECTS10
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