EPN-V2

SP2S6100 Psychosocial Functioning in a Socio-Ecological Framework Course description

Course name in Norwegian
Psykososiale vansker i individ- og systemperspektiv
Study programme
Special Needs and Inclusive Education 2
Weight
15.0 ECTS
Year of study
2025/2026
Curriculum
FALL 2025
Schedule
Programme description
Course history

Introduction

The work and teaching methods include self-study, seminars, group work, skills training, lectures and experience-based practical training. Experience-based practical training takes place in different practical training arenas.

Two seminar days, digital learning resources and conversation and observation assignments related to interprofessional group work and self-study are part of INTER1100 The Same Child - Different Arenas.

Required preliminary courses

The work and teaching methods vary between lectures, simulation and skills training, study groups, seminars and self-study.

Practical training

The students complete simulation and skills training in the administration of drugs, including:

  • Safe working method for inserting a peripheral venous catheter and intravenous injections and infusions, inhalation treatment, and the use of peroral, subcutaneous, intramuscular, nasal and sublingual administration methods
  • Safe management of high-risk materials (needles)
  • Safe work method for preparing and administering drugs

Learning outcomes

Etter fullført emne har studenten følgende læringsutbytte definert som kunnskap, ferdigheter og generell kompetanse:

Kunnskap

Studenten

  • har bred innsikt i ulike forståelsesmåter og perspektiver knyttet til psykososiale vansker i skolen
  • har oppdatert kunnskap om aktuelt regelverk og etiske hensyn i spesialpedagogisk arbeid i et inkluderende læringsmiljø
  • har inngående kunnskap om ulike kartleggingsstrategier relatert til psykososiale vansker og skolens læringsmiljø

Ferdigheter

Studenten

  • kan kritisk anvende hensiktsmessige kartleggingsstrategier i skolen for å avdekke utfordringer på individ- og systemnivå i skolen
  • kan planlegge, gjennomføre og vurdere spesialpedagogiske tiltak basert på relevante kartleggingsmetoder, for å forebygge og/eller avhjelpe psykososiale vansker
  • kan kritisk reflektere omkring strategier for samarbeid med eksterne miljøer rundt elever som viser psykososiale utfordringer

Generell kompetanse

Studenten

  • har innsikt og forståelse for ulike faktorer som hemmer og fremmer læring og psykisk helse i skolen
  • kan formidle kunnskap omkring miljøets betydning for utvikling og opprettholdelse av psykososiale vansker
  • kan planlegge og legge til rette for inkluderende praksiser i skolen, alene og som deltaker i en gruppe

Content

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

Knowledge The student is capable of:

  • using linear algebra to determine eigenvalues and solving systems of differential equations and solving second order linear differential equations with constant coefficients
  • discussing functions of multiple variables and apply partial derivatives to various problems
  • explaining convergence and power series representations of functions
  • explaining key concepts in set theory, probability theory, parameter estimation, hypothesis testing and choice of model
  • explaining normal, binomial, Poisson and exponential probability distributions, as well as typical problems to which they can be applied

Skills

The student is capable of:

  • calculating eigenvectors and diagonalising matrices
  • applying diagonalisation of matrices to solve systems of differential equations
  • determining the convergence of series using the ratio test, and finding the Taylor series of known functions
  • describing and discussing functions of multiple variables using e.g. level curves and partial derivatives
  • determining and classifying critical points of functions of two variables
  • applying statistical principles and concepts from their own field
  • basic calculus of probability with discrete and continuous probability distributions and parameter estimation
  • calculating confidence intervals and testing hypotheses
  • applying mathematical tools to matrices and functions of two variables

General competence

The student is capable of:

  • identifying the connection between mathematics and their own field of engineering
  • transferring a practical problem from their own field into mathematical form, so it can be solved analytically or numerically
  • using mathematical methods and tools that are relevant to the field
  • using statistical ways of thinking to solve problems in engineering and communicating them orally and in writing
  • solving problems in engineering by use of probability calculations, statistical planning of trials, data collection and analysis

Teaching and learning methods

Se programplanen

Course requirements

The following must have been approved in order for the student to take the exam:

  • a minimum attendance of 80% in teaching specified as ‘compulsory attendance’ in the lecture schedule programme (TP)
  • a minimum attendance of 90% in experience-based practical training with a scope of 10 days
  • supervision of a fellow student, 5 sessions of 45 minutes each, based on an adapted exercise plan Individual subject note that explains the reasoning behind the exercise plan and experience acquired through its implementation, 1,000 words (+/- 10%). The subject note will be subject to assessment
  • course in lifesaving first aid within the past year.

Coursework requirements for INTER1100 ‘The Same Child - Different Arenas’

  • Submitted individual log. Scope: 500 words (+/- 10 %). In order to write the log, the student must first attend a seminar over two days.

Assessment

Individual practical and oral exam, up to 30 minutes

Permitted exam materials and equipment

No aids are permitted.

Grading scale

This course, together with Mathematics 1000, will give students an understanding of mathematical concepts, issues and solution methods with the focus on applications. The course will also give students an understanding of concepts in statistics and probability theory, problems and solution methods with the focus on applications in their own field and in the engineering field in general.

Examiners

No requirements over and above the admission requirements.

Admission requirements

All papers are assessed by two examiners. A minimum of twenty per cent of the exam papers will be assessed by an external examiner. The external examiner's assessment shall benefit all the students.