Programplaner og emneplaner - Student
PHVIT9510 Concept and Theory Development in Health Sciences Course description
- Course name in Norwegian
- Begreps- og teoriutvikling i helsevitenskap
- Weight
- 5.0 ECTS
- Year of study
- 2020/2021
- Course history
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- Curriculum
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FALL 2020
- Schedule
- Programme description
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Introduction
A pass in the following courses:, VERN1500/VERND1500/VEPRAL1500, VERN2110/VERND2110, VERN2400/VERND2400
Approved required coursework in: VEPRA20/VEPRAD20,VERN2320/VERND2320 and VERNLEG1/VERNLEGD1.
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Required preliminary courses
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
- is capable of using the social educator work model
- is capable of applying knowledge of relevant illnesses and forms of treatment to observe and care for elderly and ill people in different phases of life
- has knowledge of preventive and health promoting work
- has good knowledge of habilitation and rehabilitation
- has good knowledge of basic infection control regimes
Skills
The student
- knows how to carry out basic care and nursing tasks
- is capable of participating in milieu therapy interventions to increase the patient/user’s self-efficacy and well-being
- has practical experience of habilitation and rehabilitation for people with different illnesses/diagnoses
- is capable of carrying out nursing procedures in accordance with a specific list of procedures
- is capable of applying hygiene principles in different situations
- is capable of administering prescribed drugs
- is capable of carrying out lifesaving first aid
- is capable of applying ergonomic principles
Competence
The student
- has knowledge of the laws and regulations that regulate services for users/patients
- has an overall understanding of people with various care needs
- is capable of planning and managing his/her own work
- is capable of reflecting on and assessing his/her own practice
- is capable of presenting and discussing relevant issues, challenges and ethical dilemmas in the professional practice of social educators
- is capable of cooperating and communicating with different users and experts/groups of experts
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Learning outcomes
The practical training requires active participation in work at the training establishment to ensure the optimal overall learning outcome.
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Teaching and learning methods
The following required coursework must be approved before a student can receive a final assessment:
- Participation at the practical training establishment (minimum attendance of 90%)
- Participation in teaching and seminars before and during practical training
- Submission of practical training documents
- assessed and found suited for the profession according to suitability criteria
If a period of practical training is assessed as 'fail', the following coursework must be reworked:
- Participation at the practical training establishment (minimum attendance of 90%)
- Submission of practical training documents
- assessed and found suited for the profession according to suitability criteria
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Course requirements
Individual portfolio exam
Portfolio requirements:
Part 101 Assessment of practical training.
Part 102 Written assignment relating to the practical training, maximum length: 2,000 words. A pass is required in part 101 to be able receive an assessment of part 102.
Resit/rescheduled exam:
Part 101 Assessment of practical training: Students who fail a period of practical training must retake the whole training period.
Part 102 Written assignment relating to the practical training: If a period of practical training is assessed as 'fail', a reworked version of the assignment must be submitted.
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Assessment
All
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Permitted exam materials and equipment
Pass/Fail
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Grading scale
Del 101 Faglærer etter innstilling fra praksislærer.
Del 102 En sensor.
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Examiners
The course will introduce students to basic bioinformatics including best practice when setting up and managing bioinformatics projects. The course covers introduction to high throughput sequencing technologies and will give students hands-on experience with the analysis of data from various sequencing platforms. Applications that are included in the practical part are processing of raw data reads, control of quantity and quality of data (FASTQC), expression analysis of small RNA sequencing data (miRNA) and transcriptome sequencing/microarray (mRNA-seq, cDNA) data, and detection of variation (e.g. SNPs) after resequencing (variant calling).
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Target group and admission
Admission requirements
This course is primarily aimed at PhD candidates admitted to the PhD programme in Health Sciences and PhD students from Memorial University, Newfoundland. General terms for admission to the course is a completed master's degree in molecular biology or equivalent qualification (e.g. completed MABIO4400). Priority will be given to PhD candidates from OsloMet and Memorial University, Newfoundland.
Note that all students must have a laptop not more than 2 years old (windows 7 or more recent or mac with OS X). The laptop must be able to connect to wireless network.