DM500: Study Introduction for Computer Science

The Study Board for Science

Teaching language: Danish or English depending on the teacher
EKA: N330050112, N330050122, N330050102
Assessment: Second examiner: None, Second examiner
Grading: Pass/Fail
Offered in: Odense
Offered in: Autumn
Level: Bachelor

STADS ID (UVA): N330050101
ECTS value: 5

Date of Approval: 03-03-2022


Duration: 1 semester

Version: Archive

Entry requirements

The course can only be followed if it is a constituent course in your course of study.

Academic preconditions

None

Course introduction

The aim of the course is that the student experiences a scholarly identity creating and retaining introduction to his study program. The course develops the student’s study competences through introduction to study strategies and active participation in scholarly activities. 

Throughout the course the student establishes his personal learning plan to organize his learning process, and is associated to a study group, which constitutes itself by a study group contract. Throughout the course the student is involved in problem solving anchored in topics from the student’s introductory courses.

Expected learning outcome

Intended learning outcomes - after completing the course the student is expected to be able to: 
  • Applies study and learning strategies to organize hers/his own learning in relation to the intended learning outcomes, learning activities and assessment tasks.
  • Establishes working relationships to his fellow students and describes his role as an active participant in the study program’s social and academic learning activities
  • Specifies and analyzes a problem in pre-formulated form and communicates the solving process and the result of the process.
  • Identifies different science representations (textual, auditory, visual, symbolic, iconic, graphical, tabular, static or dynamic) and applies them in problem solving.
  • Understand the SDGs and their relationship with academic studies
  • Understand issues and dilemmas related to achieving the SDGs
  • Work academically, critically reflected, and interdisciplinary with the SDGs
  • Reflect on the relevance of the SDGs to Computer science as well as in relation to other disciplines.

Content

The following main topics are contained in the course:
  • Study group: Work in collaborative groups, communication, planning, conflict management, group forming and constitution and study group contract
  • The student’s learning: Introduction to itslearning, study and learning strategies, harmonization of expectations, ethical standards in academia and the student’s personal learning plan.
  • Problem solving anchored in topics from the student’s introductory courses.
  • A research-based introduction to the Sustainable Development Goals and their relevance to academic studies
  • Introduction to the SDGs and their historical and political context
  • Specific issues related to the SDGs
  • Dilemmas raised by the work to achieve the SDGs
  • Multidisciplinary platform to work with the SDGs
  • Experience working critically and reflected with the SDGs.

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Autumn

Tests

Mandatory assignments in study introduction

EKA

N330050112

Assessment

Second examiner: None

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

Allowed

ECTS value

1

Additional information

The assignment consists of:

  1. Submitted study group contract which must be approved.
  2. An e-test which must be completed with at least 80% correct answers. The test can be taken several times before the deadline. Every time the test is submitted, feedback is given to the student.

Exam element b)

Timing

Autumn

Tests

Mandatory assignment in the Sustainable Development Goals (SDGs)

EKA

N330050122

Assessment

Second examiner

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

Allowed

ECTS value

1

Additional information

The exam consists of completing E-learning modules during the autumn. It is stated in the plans in itslearning when the different modules must be completed. To pass, all modules must be completed.

Exam element c)

Timing

Autumn

Tests

Take home-exam

EKA

N330050102

Assessment

Second examiner: None

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

Aids allowed

ECTS value

3

Indicative number of lessons

39 hours per semester

Teaching Method

The teaching method is based on three phase model.
  • Intro phase: 3 hours
  • Skills training phase: 36 hours, hereof: Tutorials: 36 hours.

Teacher responsible

Name E-mail Department
Søren Sten Hansen shan@sdu.dk Det Naturvidenskabelige Fakultetssekretariat

Additional teachers

Name E-mail Department City
Camilla Gundlach cgk@sdu.dk Det Naturvidenskabelige Fakultetssekretariat
Simone Louise Sørensen simone@sdu.dk Det Naturvidenskabelige Fakultetssekretariat

Timetable

Administrative Unit

Institut for Matematik og Datalogi (datalogi)

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
If a transitional arrangement has been made for a course, it will be stated in the list. 
See transitional arrangements for all courses at the Faculty of Science.