DM558: Introduction to Computer Science

Study Board of Science

Teaching language: Danish or English depending on the teacher
EKA: N330028102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Bachelor

STADS ID (UVA): N330028101
ECTS value: 10

Date of Approval: 25-04-2019


Duration: 1 semester

Version: Approved - active

Comment

The course is co-read with DM534: Introduction to Computer Science (5 ECTS)

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 assingments

EKA

N330028102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

10

Additional information

Mandatory assignments in the form of multiple choice tests made during the course.
See dansih version for further information regarding reexamination.

Indicative number of lessons

86 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
Rolf Fagerberg rolf@imada.sdu.dk Algoritmer

Timetable

Administrative Unit

Institut for Matematik og Datalogi (datalogi)

Team at Educational Law & Registration

NAT

Offered in

Odense

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