Coding Theory

2025/2026

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • algebraic and combinatorial foundations of codes and decoding
  • clear mathematical exposition and collaborative learning via student-led lectures and handouts

Skills

  • can explain classical code families (Hamming, BCH, Reed–Solomon, cyclic) and prove basic properties (distance, dimension)

Competences

  • know core definitions (code, Hamming distance, rate, relative distance) and standard bounds (Singleton, Hamming, Gilbert–Varshamov, Plotkin)
  • produce a mathematically sound handout and deliver a clear lecture on a focused topic in coding theory

 

THE BELOW COMPETENCE OBJECTIVES APPLY FOR STUDENTS AT MASTER LEVEL, WHO FOLLOWS COURSES AT BACHELOR LEVEL:

  • Be able to reflect on the discipline's approach to academic problems at a high level and the discipline’s relationship to other subject areas.
  • Be able to involve the knowledge area in solving complex problems and thus achieve a new understanding of a given subject area.

Type of instruction

Lectures, groupwork, reviews.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams

Name of examCoding Theory
Type of exam
Active participation/continuous evaluation
Reexam: Oral examination
ECTS5
Permitted aidsPlease see the semester description / module description
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleKodningsteori
Module code26KMAT2CODET
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Education ownerMaster of Science (MSc) in Mathematics
Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyThe Faculty of Engineering and Science