Tentalabbet

TDDD89 · 6 credits · Advanced level (A1F) · Informationsteknologi, Datateknik, Datavetenskap

Scientific Method

Active · next start HT 2026

100%

passed the latest regular sitting

UPG2 · 19 Dec 2025 · 192 students

100%

passed the regular sittings, all sittings over the last 5 years

UPG2 · 816 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Part of 10 programmes

Hand-in or lab

UPG2 Seminars

  • G

Main rounds

100% passed · 816 students

  • 100%192
  • 100%163
  • 100%160
  • 100%171
  • 100%130

Later rounds

100% passed · 50 students

  • 100%14
  • 100%8
  • 100%28
  • Pass a later round: 100% (50 students), compared with 100% (816 students) on the ordinary exam
Show small sittings (11)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

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Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

UPG1 Hand-in assignment

  • G

Main rounds

100% passed · 768 students

  • 100%160
  • 100%153
  • 100%160
  • 100%168
  • 100%127

Later rounds

100% passed · 79 students

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  • 100%5
  • 100%24
  • Pass a later round: 100% (79 students), compared with 100% (768 students) on the ordinary exam
Show small sittings (19)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

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About the course

Aim

After the course, students shall be able to

  • Evaluate texts with respect to scientific and engineering standards.
  • Describe and select relevant scientific and engineering methods in the topic area for each student.
  • Compare and evaluate scientific and engineering methods in the topic area selected by each student.
  • Formulate a scientific text using generally accepted standards.
  • Formulate and criticize a plan for a scientific study.
  • Critically evaluate scientific works.
  • Seek information about and evaluate references in their own topic area.
  • Summarize scientific results in their topic area.
  • Assess and manage ethical issues and societal aspects of science and engineering in their topic area
  • Demomstrate insight that there exist several different forms, fields and career paths for professional work in computer science and engineering related areas, especially in research and development in an international context, in both industry, research organizations and academic institutions.

Content

  • Scientific methods: their purpose, quantiative methods, qualitative methods.
  • Engineering and science
  • Scientific writing
  • Literature search and summary
  • Critical analysis of scientific work: reliability and validity
  • Reference management: specificity and completeness.
  • Ethics in research
  • Societal aspects of research and technical development.
  • Perspectives to professional work in computer science and engineering related areas, especially in research and development in an international context, in both industry, research organizations and academic institutions.
Examiner
Christoph Kessler
Scheduled hours
36 h
Main field of study
Informationsteknologi, Datateknik, Datavetenskap
Syllabus on Studieinfo ↗