EPN-V2

DAVE3700 Mathematics 3000 Course description

Course name in Norwegian
Matematikk 3000
Study programme
Bachelor's Degree Programme in Civil Engineering
Bachelor's Degree Programme in Software Engineering
Bachelor’s Programme in Electrical Engineering
Bachelor's Degree Programme in Energy and Environment in buildings
Bachelor's Degree Programme in Biotechnology and Applied Chemistry
Bachelor's Degree Programme in Mechanical Engineering
Elective modules TKD, Bachelor, Engineering Disciplines
Weight
10.0 ECTS
Year of study
2019/2020
Curriculum
FALL 2019
Schedule
Programme description
Course history

Introduction

Ny eksamen våren 2020: Individuell skriftlig hjemmeeksamen på 4 timer.

[Tidligere: Individuell skriftlig eksamen på 3 timer.]

Eksamensresultat kan påklages.

Recommended preliminary courses

Work and teaching methods used in the course are seminars, self-study and group work. Students are given practical exercises in using simple statistical analysis and interpreting results.

Required preliminary courses

Alle hjelpemidler tillatt.

[Hjelpemidler vedlagt eksamensoppgaven, samt håndholdt kalkulator som ikke kommuniserer trådløst og som ikke kan regne symbolsk. Dersom kalkulatoren har mulighet for lagring i internminnet skal minnet være slettet før eksamen. Stikkprøver kan foretas.]

Learning outcomes

En intern sensor. Ekstern sensor brukes jevnlig.

Teaching and learning methods

Ivar Johannesen

Course requirements

Matematikk 1000 og Matematikk 2000 (alle studieprogram), men er uavhengig av Matematikk 3000 og kan derfor tas i 4. semester hvis studieporteføljen for øvrig gir rom for dette.

Assessment

Ordinære differensiallikninger med variable koeffisienter.

Laplacetransformer

Fourierrekker

Partielle differensiallikninger

Permitted exam materials and equipment

Research methods and statistics play a key role in behaviour and social research, and a basic understanding of methodological and statistical concepts is necessary to be able to read research articles and assess the quality of data and findings.

Grading scale

Passed the course PSYK2100

Examiners

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student can

  • describe general research methodology
  • describe basic research designs and the different types of validity
  • explain the application of descriptive statistics
  • describe the general principles of statistical hypothesis testing
  • explain Type l and Type II errors
  • explain different types of basic statistical analyses and their application

Skills

The student can

  • assess research results from published studies and the validity of the findings
  • design a good study and complete simple statistical analyses of his/her own data

Competence

The student can

  • communicate the basic principles of research methodology, hypothesis testing and statistics