DM549: Discrete Methods for Computer Science

Study Board of Science

Teaching language: Danish or English depending on the teacher
EKA: N330006112, N330006102
Assessment: Second examiner: None, Second examiner: External
Grading: Pass/Fail, 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Bachelor

STADS ID (UVA): N330006101
ECTS value: 10

Date of Approval: 25-04-2019


Duration: 1 semester

Version: Archive

Comment

The course is co-read with DM547 and MM537.

Entry requirements

None

Academic preconditions

See danish version

Course introduction

See Danish version

Expected learning outcome

See Danish version

Content

See Danish version

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Autumn

Tests

Mandatory assignments

EKA

N330006112

Assessment

Second examiner: None

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

1

Additional information

The examination form for re-examination may be different from the examination form for the ordinary exam.

Exam element b)

Timing

January

Tests

Written exsame

EKA

N330006102

Assessment

Second examiner: External

Grading

7-point grading scale

Identification

Student Identification Card

Language

Normally, the same as teaching language

Duration

4 hours

Examination aids

Allowed, a closer description of the exam rules will be posted in itslearning.

ECTS value

9

Additional information

The examination form for re-examination may be different from the examination form for the ordinary exam.

Indicative number of lessons

84 hours per semester

Teaching Method

At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.

In the intro phase a modified version of the classical lecture is employed, where the terms and concepts of the topic are presented, from theory as well as from examples based on actual data. In these hours there is room for questions and discussions. In the training phase the students work with data-based problems and discussion topics, related to the content of the previous lectures in the intro phase. In these hours there is a possibility of working specifically with selected difficult concepts. In the study phase the students work independently with problems and the understanding of the terms and concepts of the topic. Questions from the study phase can afterwards be presented in either the intro phase hours or the training phase hours.

Activities during the study phase:
  • Solve assignments
  • Read the assigned literature
  • Practice to apply the acquired knowledge


Teacher responsible

Name E-mail Department
Lene Monrad Favrholdt lenem@imada.sdu.dk Algoritmer

Timetable

Administrative Unit

Institut for Matematik og Datalogi (datalogi)

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

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