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Application to establish MSc in Physical Activity and Health (Part 2)

1. Specification of the program description

The content and structure of the MSc in Physical Activity and Health, with specializations in “Exercise Physiology”, “Movement Science” and “Occupational Science” was tentatively described in part 1 of the application. This document describes it in more detail.

The master's program is not subject to national curricula laid down in regulations by the Ministry of Education and Research (KD).

2. Program description for MSc in Physical Activity and Health

2.1. Name of the program of study

Master of Science in Physical Activity and Health, with specializations in “Exercise Physiology”,

“Movement Science” and “Occupational Science”. A Norwegian name for the program is not applicable, as it is an international program.

2.2. Admission requirements

There will be a separate admission process for each specialization. 20 students will be admitted to each specialization; 60 for the whole MSc programme.

To be qualified, a Bachelor`s degree, or equivalent, within a relevant field to the MSc and the respective specialization, with an average mark of C or better, is required. Relevant fields are:

biochemistry, biology, biomedical science, exercise physiology, human movement science, nursing, occupational therapy, physiotherapy, sport sciences, and similar.

The geographical distribution of admitted students will be, 1/3 outside EU and 2/3 within EU for each specialization. Approximately, a 50-50 distribution of international and Norwegian students.

When there are more qualified applicants than can be accepted, they will be ranked after established procedures at NTNU.

2.3. Approved

The plan of study for MSc in Physical Activity and Health is approved by the Faculty of Medicine and Health Sciences in September 2018. The plan is applicable for the academic year 2019/20.

2.4. Introduction

The MSc in Physical Activity and Health, with the specializations: “Exercise Physiology”, “Movement Science” and “Occupational Science” will replace the three existing master-programmes: “Exercise Physiology”, “Bevegelsesvitenskap” and “Aktivitet og Bevegelse”.

The overarching emphasis of the program is to provide students with knowledge on how physical activity, in its various forms and settings, affects health, disease and mortality rates. Furthermore, how to intervene to improve health and physical activity levels and reduce disability of various populations.

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2.5. Learning outcomes

MSc in Physical Activity and Health Knowledge

The candidate

• has advanced knowledge about the relationship between physical activity, health, disease, participation and performance

• has thorough knowledge of relevant theories, study designs and methods in physical activity and health, and specialised insight in those particularly relevant for the chosen specialisation

• can apply knowledge to new areas in the field of physical activity and health Skills

The candidate

can retrieve, critically assess and discuss research, theories and methods within physical

activity and health, and particularly within the field of the chosen specialization

can choose appropriate study designs and research methods in physical activity and health

can collect and analyse data, and interpret, discuss and present scientific results, orally and

in writing, within a defined area in physical activity and health

can plan, organise and carry out an independent project under supervision and in

accordance with applicable norms for research ethics and juridical regulations General competence

The candidate

• can analyse academic, professional and research ethical problems relevant to physical activity and health

• can work independently and in groups to solve practical and theoretical problems

• can communicate extensive independent work in oral and written form to the scientific community and general population, and masters language and terminology in the field

• can contribute to development and dissemination of new and innovative solutions

Specialization in Exercise Physiology Knowledge

The candidate

has advanced knowledge about the beneficial effects of exercise physiology for successful aging, disease treatment and prevention, and prescribe effective training programs from top athletes to patient populations

has advanced knowledge of how exercise physiology can influence the cardiovascular, respiratory and neuromuscular system in our bodies, both for health and performance

has in depth insight in exercise physiology reaching from the molecular to whole body level, and have practical advanced knowledge relevant for the field

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Skills

The candidate

can identify and describe the limitations for the energy delivery and utilization, as well as the muscular and neural limitations for muscular strength from patient populations to athletes

can formulate a research question based on adequate insight into current skills within exercise physiology

can apply and adopt experimental methods to gain new skills within exercise physiology

Specialization in Movement Science Knowledge

The candidate

• has advanced knowledge about the physiological, mechanical and dynamic principles of movement and how these affect health and performance

• has advanced knowledge about how to change movement, technique, motor skills and performance

• has advanced knowledge about how physical activity and exercise affect health, capacity and performance

• has knowledge on how activity and movement evaluation can be used in early diagnosis, risk assessment, movement change, and intervention evaluation

Skills

The candidate

• can evaluate physiological, dynamic and mechanical principles of movement

• can measure, analyse, interpret and evaluate human movement, physical capacity and performance

• can use body worn sensors for monitoring and changing movement and physical activity

• can use theory and methodological knowledge to formulate researchable hypotheses relevant for the practical application of movement science

Specialization in Occupational Science Knowledge

After having completed the specialization in occupational science, students are expected to have advanced knowledge about human activity and the complex interplay between individual and societal factors which influence activity and its impact on health. Students are expected to critically apply this knowledge to examine and improve settings as well as individual conditions for every-day life, be able to identify facilitators and barriers for activity across a wide range of settings and situations. More specifically:

The candidate

• has advanced knowledge and insight into health-related aspects of every-day activity

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• can describe, and unravel the complex interplay between individual and societal factors for activity and health

• understands how activity can be promoted across settings of every-day life

• has advanced knowledge about the theoretical and methodological foundations of occupational science, including relevant knowledge about ethical and juridical guidelines.

Skills

After having completed the specialization in occupational science, students are expected to apply relevant methods for research and evaluation, work independently on solutions to problems linked to practice, and be able to translate this knowledge from different sources into effective measures and approaches to promote activity and health. More specifically:

The candidate

• can analyse, and suggest improvements for every-day settings for activity and health

• can critically evaluate, and consistently apply different sources of information

• can apply research methods, and apply research methods and knowledge to structure and communicate professional arguments

• can apply knowledge about how to organize, plan and document in working with projects and/or research

2.6. Duration, scope and level

The duration of the program is two years full-time with a workload equivalent to 120 ECTS. The students’ workload is estimated to 1680 work hours per year. The distribution of the work hours depends on which elective courses are chosen in the first year, as some include more lab hours and exercises than others do. The workload on the second year is fully related to the thesis work.

Courses included in the degree must be on master's level. Exceptions will be processed according to current regulations at NTNU - Faculty of Medicine and Health Sciences.

2.7. Program structure

There will be a separate admission process for each specialization. 20 students will be admitted to each specialization; 60 for the whole MSc.

Please see the figure below for an overview of the program structure. The first semester consists of the course Physical Activity and Health, which is compulsory for students in all specializations, two courses required by each specialization, and one elective course. The specialization courses for each specialization will be elective courses for the other two specializations, in addition to those listed on the right hand side on the figure.

The second semester consists of three courses that are compulsory for all students, and one optional course. Experts in teamwork and Statistics for medicine and health sciences are not specific for the MSc. The course Writing and communication are specific to the MSc, and compulsory for all admitted students. There are several relevant elective courses to choose from, listed on the right hand side.

The third and fourth semesters are devoted to the master’s thesis. The third semester also includes a seminar on research ethics.

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2.8. Learning methods

Teaching at the institution in the form of seminars, lectures, team-based learning, group work, a supervised MSc project, and more. The Specializations in Exercise Physiology and Movement Science include considerable lab work (e.g., measurements of cardiorespiratory fitness, muscle strength, neuromuscular activation, movement analyses, etc.).

2.9. Forms of assessment

There will be a range of assessment methods to evaluate the degree of achievement of learning outcomes as appropriate: individual written exams, home exam individually and in groups, essays, oral exam, portfolio assessments, laboratory reports and presentations.

2.10. Internationalization

The MSc in Physical Activity and Health will be international. We aim for 1/3 outside EU and 2/3 within EU for each specialization.

Our MSc students can study at a collaborating institution abroad for one semester, as long as the institution have satisfactory replacement-courses and learning outcomes are achieved. The MSc- project can be performed abroad, upon advance approval.

Norwegian students who do not go abroad, will nonetheless experience internationalization by collaborating with foreign students, write all assignments in English and attend teaching sessions held in English. We will actively spread information about stipend arrangements such as Erasmus and Nordplus to students.

2.11. Entrepreneurship and innovation

The MSc in Physical Activity and Health supports NTNUs innovation strategy. We will incorporate innovation in teaching, assignments and projects. This includes (but is not limited to) areas such as welfare technology, mobile-health solutions, new ways to assess physical activity (wearables), innovative clinical interventions, methods and techniques, and new ways of designing services to promote physical activity and health in various settings and groups.

2.12. Professional and occupational prospects / further study

An MSc in Physical Activity and Health can improve the competence and qualifications of persons in various occupations and disciplines, such as physiotherapy, occupational therapy, rehabilitation, exercise training, the fitness industry, public health coordination, and teaching. The best candidates are eligible for PhD/research-careers.

2.13. Practical training

Not applicable

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2.14. Requirements for suitability

Not applicable

2.15. Special requirements and conditions

No comments

2.16. Other relevant information

No comments

3. Course descriptions

Presented for each course below.

3.1. Mandatory courses

Course name: Physical Activity and Health

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has advanced knowledge on how physical activity and inactivity affect health and disease across the lifespan

• has in depth knowledge on how physical activity can be promoted at the individual and societal levels

• has knowledge about the nature of scientific evidence relevant for physical activity and health (epidemiology, clinical studies,

laboratory-based research, qualitative methods)

• has thorough knowledge about current strategies and approaches to increase physical activity, and their evidence base

• has knowledge on how exercise training principles can be used to improve health and performance

• has knowledge on how social inequities affects participation in physical activity

Skills

The candidate

• can acquire and critically assess scientific evidence concerning the relationship between physical activity, health, disease, participation and performance

• can describe challenges related to physical activity and health, and discuss appropriate solutions

• can work independently and in groups to solve advanced problems related to physical activity and health

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General competence The candidate

• can integrate knowledge and skills from relevant disciplines and professions into a common perspective on physical activity and health

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge As described in the admission requirements Restricted admission

and reservation for students admitted to a particular program

Only students admitted to the MSc in Physical Activity and Health can take the course, which is compulsory for them.

Recommended requirements for previous knowledge

Academic content Relationship between physical activity and physical- and mental health, and mortality. Exercise in medicine. Promoting change at the individual and societal level. Physical activity and everyday life. Activity guidelines. Performance and health. Critical appraisal of evidence.

Nature of evidence: epidemiology, laboratory research, qualitative studies. Physical activity and social inequality. Is all physical activity good?

Learning methods Lectures, seminars, team-based learning, and more.

Form of assessment and

grading scale • Essay (40% of grade; grading scale: A-F)

• Individual written exam (4 hours, 60% of grade; grading scale: A- Credit reduction due to F)

overlapping courses BEV3023 – 2,5 credits Course coordinator Marius Steiro Fimland

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Writing and Communication

ECTS: 7,5

Learning outcomes: Knowledge The candidate has

• Knowledge about communication of scientific results both in and outside academic contexts

• In-depth knowledge about essential components in academic writing

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• Knowledge about the basics for writing successful grant applications

• Knowledge about how to write an application to regional ethical committees

Skills

The candidate can

• Present, evaluate and critically discuss outcomes of research in a scientific essay/review

• Present scientific results for a general public

• Write an application to a regional ethical committee to undertake a clinical trial

• Write applications for project grants General competence

The candidate can

• Communicate scientific results from a selected field to the general public

• Write a scientific text in accordance with international standards

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

Only students admitted to the MSc in Physical Activity and Health can take the course, which is compulsory for them.

Recommended requirements for previous knowledge

Academic content Writing and communicating are essential skills in many contexts. In various professional works, the dissemination of research-based results can be important within occupational and/or academic communities. More and more people are engaged in various projects at different levels, in which are typically published in non-peer reviewed reports. A substantial amount of this information could be available for many more, as well as be scrutinized by others, if it were written and published in accordance with international standards for scientific writing. Writing and communicating scientific materials are also of vital importance for positions at universities, as well as for searching grant funding and ethical approvals to undertake new research projects. The goal of writing and communication is thus to provide knowledge and skills necessary for the dissemination of scientific results in various formats, as well as getting experience in basics for writing grant- and applications to ethical committees.

Learning methods Lectures, seminars and group-work.

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Form of assessment and

grading scale Portfolio assessment. Grading scale A-F.

Credit reduction due to overlapping courses No

Course coordinator Ulrik Wisløff

Responsible unit Department of Circulation and Medical Imaging Other relevant

information

Course name: Statistics for Medicine and Health Sciences

ECTS: 7.5

Learning outcomes: Knowledge:

After completing the course MH3003, the student should - have knowledge of different types of variables and probability distributions, and be able to apply the knowledge in relation to statistical analysis of data

- have knowledge of basic terminology and methodological elements within point and interval estimation and hypothesis testing

- have knowledge of methods for estimating correlation and linear association between continuous variables

- have knowledge of the most important assumptions for the chosen method of analysis

Skills:

After completing the course MH3003, the student should be able to - choose appropriate summary measures and graphical display for describing quantitative data

- perform and interpret results from hypothesis tests (t-test) for mean values in one and two samples, and correspondingly for the non-- parametric alternatives for these tests

- perform and interpret results from hypothesis tests for proportions in one and two samples

- perform and interpret analyses for estimating correlation and linear association between continuous variables

- evaluate reliability of measurements and agreement between two methods of measurement

- perform statistical analyses by using a statistical program package (SPSS)

- justify the chosen method of analysis based on the problem at hand, study design, and variable types

General competence:

After completing the course MH3003, the student should

- have a basis for understanding the presentation of statistical analyses and results in scientific literature

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge Completed bachelor's degree or equivalent.

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Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

It is recommended that the student has previous knowledge in coherence with the learning outcome of MH3000 Introduction to research methods.

Academic content The course gives a basic introduction to statistical methods relevant for medicine and health science. The course will provide knowledge of and practice in the application of methods for comparing means and proportions, studying association between continuous variables, and evaluating reliability and validity of measured data. The course deals with descriptive statistics, probability and probability distributions, point and interval estimation, hypothesis testing for continuous and categorical data, correlation and linear regression. The course includes exercises using SPSS.

Learning methods Intensive lectures over the semester. Lectures and exercises.

The course is taught in English during the autumn semester and in Norwegian in the spring semester.

Form of assessment and

grading scale 4-hour written exam (letter grades)

Approved examination aids: Specified printed and handwritten aids.

Any calculator.

Approved compulsory exercises are required to sit the exam. Approved compulsory activities are valid for three subsequent semesters after approval.

Credit reduction due to

overlapping courses KLMED8004: 5.0 credits

HLS3550, KLH3004, KLH3100, MNFSIB1, PH3003, ST3000, ST3001: 7.5 credits

Course coordinator Turid Follestad

Responsible unit Department of Public Health and Nursing Other relevant

information

3.1.1. Specialization courses: Exercise physiology

Course name: Training Circulation and Oxygen Consumption

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has advanced knowledge of limitations for oxygen transport and effective training regimes for improved circulation and aerobic endurance performance

• has thorough understanding of the supply and demand limitations for the oxygen transport and utilization in top athletes and major patient populations with e.g. cardiovascular and respiratory diseases

• has in depth understanding of the beneficial effects of endurance training for athletic performance, successful aging, disease treatment and disease prevention

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• has advanced knowledge on the effects of strength training on endurance performance in athletes and patients

Skills

The candidate

• can apply and adopt experimental methods such as maximal oxygen uptake, lactate threshold and work economy and have practical skills relevant to perform the tests

• can present outcomes of research in a written report, evaluate and discuss scientific results

• can describe biological adaptations following physical activity and exercise training on the heart, arteries and skeletal muscles in our bodies both for health and performance

• can identify and prescribe effective endurance training programs, and to study their effect in top sports performance and patient populations

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

Compulsory for candidates admitted to specialization in Exercise Physiology. Optional for candidates at the other two specializations.

Recommended requirements for previous knowledge

Academic content Circulatory function, supply and demand limitations of oxygen to working muscle. Limitations and adaptations in patients and athletes.

Training methods and their application to various limitations.

Learning methods Lectures, seminars, group work, and laboratory work Form of assessment and

grading scale Laboratory report (approved/not approved) Individual written exam (4 hours, grading scale: A-F) Credit reduction due to

overlapping courses

Course coordinator Jan Helgerud

Responsible unit Department of Circulation and Medical Imaging Other relevant

information

Course name: Training Muscle and Force Production

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has advanced knowledge of limitations for neuromuscular force and effective training regimes for improved neuromuscular function

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• has thorough understanding of the limitations to neuromuscular force production and muscle strength in top athletes and major patient populations with e.g. musculoskeletal and neurological diseases

• has thorough understanding of the beneficial effects of strength training for athletic performance, successful aging, disease treatment, disease prevention

• has advanced knowledge of the effects of strength training on endurance performance in athletes and patients

Skills

The candidate

• can apply and adopt experimental methods such as one-repetition maximum, peak force, rate of force development and have practical skills relevant to perform the tests

• can present outcomes of research in a written laboratory report, evaluate and discuss scientific results

• can describe biological adaptations following physical activity and exercise training on the neuromuscular system in our bodies both for health and performance

• Identify and prescribe effective strength training programs, and to study their effect in top sports performance and patient

populations

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

Compulsory for candidates admitted to specialization in Exercise Physiology. Optional for candidates at the other two specializations.

Recommended requirements for previous knowledge

Academic content Muscle architecture and differences in the population. Changes related to athletic performance, age and diseases. Limitations and functional adaptations in patients and athletes. Training methods for neural adaptations and protein synthesis. Neuromuscular basis for motor skill acquisition.

Learning methods Lectures, seminars, group work, and laboratory work Form of assessment and

grading scale Laboratory report (approved/not approved) Individual written exam (4 hours, grading scale: A-F) Credit reduction due to

overlapping courses

Course coordinator Eivind Wang

Responsible unit Department of Circulation and Medical Imaging

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Other relevant information

3.1.2. Specialization courses: Movement Science

Course name: Movement Evaluation in Sports and Clinical Science

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has advanced knowledge of and can discuss research-based knowledge of movement coordination and mechanical aspects of intra-limb coordination and energy cost of exercise

• has advanced knowledge about essential technical aspects of relevant equipment to obtain reliable and valid data from signal detection through digitalization to model choice and variable calculation

• has advanced knowledge on how to use quantitative movement analysis to set early diagnosis, evaluate treatment, instrument clinical tests, and evaluate sport performance

Skills

The candidate

• can investigate problems regarding multi-joint coordination, work economy, movement optimization criteria, and stability and balance in posture and movement

• can use laboratory-based methods for the investigation of kinematics, dynamics and muscle activation, including data collection, data analysis and evaluation, presentation and interpretation of results

• can apply physiological, biomechanical and technical knowledge to obtain high quality data

General competence The candidate can:

• plan and implement reproducible data collection sessions

• instruct and communicate with study participants

• report and communicate research results and masters the terminology of the field

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge As described in the admission requirements Restricted admission

and reservation for students admitted to a particular program

The course is compulsory for the students enrolled in the specialization Movement Science, MSc in Physical Activity and Health. Candidates on the other two specializations can choose it as an optional course.

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Recommended requirements for previous knowledge

Academic content Movement evaluation can provide early diagnosis and assess risk of disease and treatment outcomes as well as evaluating the

performance of elite sport athletes. The course ranges from fundamental issues to applied problems from sports and clinical practise: How can you know whether knee pain is a local issue or caused by problems at the hip or ankle? How can you evaluate whether muscle over-activation or muscle weakness causes crouch gait in a specific patient? Why is the ankle so important in explosive actions like jumping and sprinting when most power is delivered by knee and hip muscles? How do you decide on the optimal pedalling frequency for cyclists?

In this course, you will learn how to perform quantitative movement analysis including how to record, analyse, and interpret movement characteristics using 3D motion capture equipment, force sensors and electromyography in a range of activities. Moreover, you will learn how the musculo-skeletal system is built in a functionally effective manner, how it aids control and stability of movement, and helps keeping energy cost of locomotion low. Examples and demos show how quantitative movement analysis could be used in early diagnosis and evaluation of treatment and sport performance.

Learning methods Data collection: Kinematics (Motion capture), dynamics (force plate), muscle activity (EMG).

Teaching in contact hours will occur for a great deal in the lab,

preceded by shorter classroom teaching, in the form of lecture, group work, and discussion, for lab preparation, introducing theoretical concepts and methodological challenges. After data collection, most contact time will be used to guide the students through the process of data analysis and interpretation, and testing the theoretical concepts.

Form of assessment and

grading scale Individual oral exam (30 min). Grading scale: A-F Credit reduction due to

overlapping courses

Course coordinator Gertjan Ettema

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Evaluation of Physical Activity in Daily Life

ECTS: 7,5

Learning outcomes: Knowledge The candidate

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• has advanced knowledge about different methods for evaluating physical activity

• has advanced knowledge about how evaluation of physical activity can be used in disease prevention, health promotion and

performance enhancement in daily life activities Skills

The candidate

• can describe and discuss different methods for physical activity assessment used in mobile health solutions

• can interpret and report different outcomes of physical activity assessment

• can apply different methods in physical activity assessment for early diagnosis, risk assessment, and evaluation of interventions and management of activity

• can use physical activity evaluation methods to change behaviour in individuals and groups in sports, health, work and medicine

General competence The candidate

• can present a project plan and project results in oral and written form

• can reflect on ethical issues related to the use of activity data according to EU’s general data protection regulation

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

The course is compulsory for students enrolled in the Movement Science specialization, and is optional for the other two specializations.

Recommended requirements for previous knowledge

Academic content Assessing physical activity is of paramount importance to investigate physical activity related health risks and to evaluate interventions for disease prevention and health promotion in the general population and specific age- and target groups. Moreover, with proper feedback, it can be a useful tool to improve physical activity and movement in individuals and groups. Evaluation of physical activity can be used in sports, health, work and medicine in both the public and private sectors. Examples of questions involving evaluation of physical activity are: Was I active enough today to keep my good health? Does the prescribed intervention improve physical activity during daily life?

When is which skiing technique used during a cross-country skiing

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race? Is the workload too high or monotone to keep specific working populations, patients and athletes in good health?

The course provides knowledge about how assessment of physical activity can be used in disease prevention, health promotion, (re)habilitation and sports. The course provides skills on data collection, signal analysis and interpretation of results of physical activity in daily life, including (re)habilitation, sports, work, school and leisure. The course includes practical exercises in the use of

questionnaires, sensor systems, smartphone applications, and activity recognition methods.

Learning methods Form of assessment and

grading scale Home exam (4 days) in groups of 2-3 candidates. Grading scale: A-F Credit reduction due to

overlapping courses

Course coordinator Paul Jarle Mork

Responsible unit Department of Public Health and Nursing Other relevant

information

3.1.3. Specialization courses: Occupational Science

Course name: Occupational Science and Participation in Everyday Activities

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has comprehensive knowledge about Occupational Science of Human Occupation, in terms of ontology, epistemology, key theoretical discussions, concepts and methodology

• has knowledge about, and understanding of differences between various perspectives on participation in everyday life occupations

• has knowledge about how human occupation can be analyzed and contextualized in everyday activities

• has in-depth knowledge about how participation in every-day life affects health and vice versa

• has in depth knowledge of both facilitators and barriers for participation in every-day life for individuals and groups Skills

The candidate

• can describe and reflect on epistemology, ontology and ethics of Occupational Science

• can describe and reflect upon multiple methodological approaches to occupation and participation in everyday activities

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• can describe and critically reflect upon the complex interplay between personal and contextual matters influencing performance and participation in every-day occupations

• can articulate opportunities and challenges in multidisciplinary assessments of participation in occupations.

• can explore and describe mutual influences between participation in occupation, health, well-being, lifespan development, social relations and public policies

• can articulate how to promote health and wellness through occupation across the life span

General competence The candidate

• can integrate theory and methodology based on Occupational Science of Human Occupation in research and development projects

• can apply Occupational Science in analyses of how human occupation can be analyzed and contextualized in everyday activities

• can critically reflect upon barriers and facilitators in order to assess participation in everyday life occupation.

• can demonstrate critical awareness of ethical problems in research and interventions based on the people’s integrity and right to define their own way of living

Level: Master

Teaching semester: Autumn Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

The course is compulsory for students enrolled in the Occupational Science specialization, and optional for candidates on the other two specializations.

Recommended requirements for previous knowledge

Academic content The focus in this course is on theoretical discussions, concepts and methodology in Occupational Science. Key concepts in Occupational Science, including human activity, human occupation and participation are discussed in a contextual manner. These tools are actively used to analyze and reflect upon the contextual nature of participation, and develop approaches sensible to the person’s life world, everyday reality, role repertoire, and habitus. In this course, we also explore and describe how participation in occupation may have an impact on how we approach well-being, lifespan development, social relations, as well as health promotion across the life span and public policies.

Learning methods Lectures, group work, seminars.

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Form of assessment and

grading scale Home exam (2 days; grading scale: A-F)

Group presentations (Approved/Not approved) Credit reduction due to

overlapping courses

Course coordinator Kirsti Sarheim Anthun

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Assistive Technologies (AT) as Enabler of Everyday Activities and Participation

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has in depth knowledge about the compound nature of AT construct

• has advanced knowledge about how technology can enable and restrict daily life activities and participation

• has advanced knowledge on how contextual and dialectic

relationship between the individual, AT and environment can enable occupational performance in self-care, health services, play and leisure

• has knowledge about different technologies that may be used for assisted living purposes in different health services, among these technologies for safety and security, compensations and wellbeing, activities, social contact and participation, prevention, treatment, and care

• has extensive knowledge on ethical and organizational issues regarding AT

• has knowledge about research methods to be used in order to study AT

Skills

The candidate

• can analyze interactions between individuals and AT within a health context

• can participate in and stimulate to multidisciplinary collaboration in use of AT

• can identify technical and health- and welfare-related prerequisites for use of AT

• can assist users and caregivers in choosing relevant AT solutions

• can identify risks and ethical challenges

• can empower users and caregivers to handle risks and ethical challenges

General competence The candidate

• can collaborate with users, informal and formal caregivers, and service providers on a professional level for the planning and introduction of AT

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• can understand challenges and prerequisites for implementation of AT as enabler of everyday activities and participation

• can contribute to understanding the impact of introduction of AT innovation

Level: Master

Teaching semester: Autumn Language of

instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

The course is compulsory for students enrolled in the Occupational Science specialization, and optional for candiates on the other two specializations.

Recommended requirements for previous knowledge

Basic understanding of or experience with use of AT.

Academic content AT is offered to individuals as a part of social and health care services to promote independence and quality of life at home/school/work or in leisure activities. This course will give students knowledge and skills to understand and facilitate the use of AT as enabler of everyday activities and participation.

Learning methods Lectures, group work, seminars.

Form of assessment

and grading scale Portfolio assessment. Grading scale: A-F.

Credit reduction due to overlapping courses No

Course coordinator Skender Redzovic

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Master’s Thesis in Physical Activity and Health

ECTS: 60

Learning outcomes: Knowledge The candidate

• has specialized theoretical and methodological knowledge on a particular topic related to Physical Activity and Health, within the field of the chosen specialization

• has knowledge on the ethical and juridical aspects of the specific chosen project

Skills

The candidate

• can retrieve and interpret relevant published scientific data

• can formulate a research question based on current knowledge

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• can plan, organize, document and execute an independent project under supervision in line with current research ethical norms

• can find, learn, justify, adopt and apply relevant scientific methods to gain new knowledge

• can retrieve and analyze data and interpret results within a defined area and scientific tradition

• can report outcomes of research and justify interpretations and conclusions in a coherent way both orally and in writing

General competence The candidate

• can work both independently and in collaboration with others to find solutions to practical and theoretical problems

• can plan and organize an extensive project

Level: Master

Teaching semester:

Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program

Only for candidates admitted to the MSc in Physical Activity and Health

Recommended requirements for previous knowledge

Academic content The master thesis is a scientific study on a topic within physical activity and health, and the field of the chosen specialisation. In their work on the thesis, the students will train in resolving problems independently, undertaking critical assessment of scientific literature, formulating clear research questions and plan, organize, document and execute a scientific project. Through the scientific problem-focused approach, the students will improve their ability to pursue lifelong learning. In addition, there is a research-ethics seminar.

Learning methods Work with master thesis is independent work under supervision.

Supervision will be performed in accordance with guidelines set out by the Faculty of Medicine and Health Sciences.

Form of assessment and

grading scale Individual written thesis and oral thesis defense (Grading scale: A-F) Credit reduction due to

overlapping courses No

Course coordinator Marius Steiro Fimland

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

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3.2. Elective courses

Course code Title Credits

New Methods in clinical exercise physiology 7,5

New Occupational performance for active meaningful living 7,5

New Movement control and change 7,5

New Exercise physiology in specific target groups 7,5

BEV3201 Introduction to signal processing in MatLab 7,5

MH3000 Introduction to research methods 7,5

MH3002 Epidemiology I 7,5

MH3004 Qualitative methods 7,5

Experts in Teamwork 7,5

Course name: Methods in Clinical Exercise Physiology

ECTS: 7,5

Learning outcomes: Knowledge:

The candidate has

Knowledge about common methods for health, exercise and sport-related assessments

In-depth knowledge about a chosen method for evaluating one or several physiological capacities

Knowledge about the basics for measuring ECG at rest and during exercise

Knowledge about how to prepare test equipment and test subjects before testing

Skills:

The candidate can

Conduct a health and fitness evaluation and undertake a risk evaluation for lifestyle related diseases

Prescribe an appropriate lifestyle program based upon risk evaluation

Perform advanced test and interpretation of results in one chosen method from the course

General competence:

The candidate can

Communicate to relevant user groups about health assessments and risk evaluation

Give advice about appropriate test(s) for health assessment of different patient groups as well as for individuals at high risk of lifestyle related diseases.

Level: Master

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Teaching semester: Autumn Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

Academic content Exercise science is a rapidly growing qualification worldwide. The assessment of health, fitness and sport performance is an important aspect of Physical Activity and Health sciences. Assessment not only helps to develop an appropriate, individualised program, they also provide an imperative function of screening and risk stratification for lifestyle related diseases and possible injuries. The goal of Methods in Clinical Exercise Physiology is to provide basic theoretical and practical basis to competently conduct a health and fitness evaluation and perform common health, exercise and sport-related assessments.

Learning methods Lectures, laboratory work, seminars.

Form of assessment and

grading scale Laboratory reports (approved/not approved) Individual written exam, 4 hours. Grading scale: A-F Credit reduction due to

overlapping courses

Course coordinator Ulrik Wisløff

Responsible unit Department of Circulation and Medical Imaging Other relevant

information

Course name: Occupational Performance for Active Meaningful Living

ECTS: 7,5

Learning outcomes: Knowledge:

The candidate

• has comprehensive knowledge about multiple perspectives of human performance and meaningful living and participation in every-day occupations

• advanced knowledge of models, concepts and tools of occupational performance

• in depth knowledge of both facilitators and barriers for

occupational performance for individuals and groups in everyday life and in different spheres of society

• knowledge on how to study occupational performance for active meaningful living for individuals as well as vulnerable groups in society

Skills

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The candidate

• can explore and describe mutual influence between performance, participation, bodily structures, function, and the social, cultural and physical environments.

• can describe, apply and critically reflect upon models and tools to observe, assess and evaluate occupational performance

• can design and plan interventions that promote active meaningful living in every-day life

• can synthesize knowledge of individual, institutional and societal factors that influence occupational performance for individuals and groups to guide perspectives and decisions in practice

General competence The candidate

• can observe, assess and evaluate occupational performance in different types of every-day life roles

• can analyse individual, institutional and systemic barriers and facilitators in order to assess participation in everyday life occupation

• can demonstrate a critical awareness of ethical problems in

interventions with individuals and groups based on people’s integrity and right to define their own way of living

Level:

Teaching semester:

Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

Academic content This course focuses on how to enhance occupational performance and meaningful living for individuals and groups. Theoretical models and tools are utilized in order to understand how occupational

performance and participation are linked to bodily structures, function, and physical environments. Specific attention is paid to models and tools to observe, assess and evaluate occupational performance and how to design and plan interventions that promote active meaningful living in every-day life. In this course, we synthesize knowledge of occupational performance in a contextual manner in order to guide perspectives and decisions in practice for individuals as well as vulnerable groups in society.

Learning methods Introduction in plenum, group work, seminars.

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Form of assessment and

grading scale Home exam (2 days, graded A-F)

Group presentations (approved/not approved) Credit reduction due to

overlapping courses No

Course coordinator Annelie S. Leiulfsrud

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Movement Control and Change

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has advanced knowledge about theories, concepts and models in movement control

• has advanced knowledge about how to establish change in movement skills in health and disease

Skills

The candidate

• can apply theories and concepts on motor control, learning and development in practical contexts

• can critically evaluate challenges associated with changing motor skills in the general population, athletes, and people with

movement problems General competence The candidate

• can understand and evaluate new scientific literature in human movement science, relevant for practical applications

• Identify, consider and analyse individual and environmental factors that limit or create possibilities for changing motor skills

• Understand and evaluate new interventions, tools, or tests, that are introduced to the health care system (or other relevant domains like for example the school system or sports)

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

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Academic content The course provides research-based knowledge about relevant theoretical concepts and constructs regarding motor control, development, and learning. Furthermore, the course illustrates how this knowledge can be applied in various contexts in order to work systematically with various motor behaviours both at the individual and group level.

Learning methods Lectures, seminars, tutorials Form of assessment and

grading scale Individual written exam (4 hours). Grading scale: A-F Credit reduction due to

overlapping courses

Course coordinator Arve Vorland Pedersen

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Exercise Physiology in Specific Target Groups

ECTS: 7,5

Learning outcomes: Knowledge The candidate

• has theory-based knowledge on physiological responses to exercise and training in persons with selected health issues and specific metabolic, respiratory, cardiovascular and skeleto- muscular diseases

• has advanced knowledge on training of elite athletes

• has advanced knowledge on study designs to evaluate adaptations to training

Skills

The candidate

• can design a theoretically justified training programme for specific target groups and individuals

• can prescribe evidence-based training programs for specific target groups and individuals

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

Academic content Exercise in Medicine. Disease mechanisms and their implications for exercise prescription in different groups. Implementation of exercise in

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clinical care. Indications and contraindications for exercise, safety measures.

Learning methods Form of assessment and

grading scale Portfolio assessment, grading scale: A-F Credit reduction due to

overlapping courses

Course coordinator Øyvind Ellingsen

Responsible unit Department of Circulation and Medical Imaging Other relevant

information

Course name: Introduction to Signal Processing in Matlab

ECTS: 7.5

Learning outcomes: After completing the course BEV3201, the student is able to:

- Explain important aspects of signal processing like data sampling, signal-to-noise ratio, data filtering and selection of time periods, and how these factors affect calculation of relevant signal characteristics.

- Apply basic operations in Matlab such as importing and exporting data, data visualization, programming simple logical structures, indexing data vectors and matrices, and batch processing large data sets.

- Create a Matlab script that can read the data, improve data quality, visualize results and compute relevant signal characteristics of various signals relevant in movement and neuroscience

- Perform signal analysis using basic operations in Matlab.

- Explain central concepts of signal processing

- Understand the importance of various aspects in signal analysis for data quality and further statistical analysis

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge As for admission to the master programmes in medicine, health and social sciences. The course is reserved for students enrolled at master programmes in medicine, health and social sciences.

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

Corresponding knowledge as in the learning outcomes in the

introductory course in methodology in medicine and health subjects, i.e. MH3000

Academic content The course will provide an introduction to signal analysis in Matlab.

The course will include selected topics within signal processing like digital data sampling, signal-to-noise ratio, data filtering, selection of time periods, and calculation of relevant signal characteristics. The course will include introduction to basic operations in Matlab such as importing and exporting data, data visualization, and programing of simple logical structures, use of functions, indexing of data vectors and

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matrices, and batch processing of larger data sets. The course will use exercises and examples to show the use and interpretation of signal analysis in movement and neuroscience

Learning methods The course contains eight meetings of up to 5 hours which includes some lectures, but most practical exercises in Matlab. Students are expected to work on assigned tasks between the meetings and participate in all activities. The course is taught in English when required and all communications must be in English if international students are enrolled.

Form of assessment and

grading scale 1-hour practical exam Credit reduction due to

overlapping courses BEV8003: 5.0 credits Course coordinator Espen Alexander F. Ihlen

Responsible unit Department of Neuromedicine and Movement Science Other relevant

information

Course name: Introduction to Research Methods

ECTS: 7.5

Learning outcomes: Knowledge:

The candidate

- has knowledge on basic characteristics and methodological concepts within qualitative and quantitative research

- has knowledge on basic methods for data collection in qualitative and quantitative studies, including their strengths and weaknesses

- has basic knowledge of criteria for evaluating data quality, such as reliability and validity

- knows how results from qualitative and quantitative studies can be presented and interpreted

- has knowledge of ethical guidelines, privacy protection, and approvals in health-related studies

Skills:

The candidate

- can conduct and systematize knowledge from literature searches, and master general reference managing tools

- can evaluate which research design is suitable for different research quetions within medicine and health science

- can describe the research methods that are used in qualitative and quantitative studies

General competence:

- can summarize and evaluate methods and results from research and professional literature within medicine and health science

- can assess appropriateness of qualitative and quantitative research methods approaches in medicine and health science

- can describe the purpose, requirements and content in research protocols

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Level: Master Teaching semester: Autumn Language of instruction: English Required previous

knowledge

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

Academic content The course introduces qualitative and quantitative research methods that provide students with a basis to read and evaluate research and professional literature within medicine and health science. The course will give a basic introduction to research design, methods for data collection, assessment of data quality, and how research results can be presented and interpreted

Learning methods Intensive course at the beginning of the semester.

Lectures and group work. The course will be held in both Norwegian and in English during the same semester.

Form of assessment and

grading scale Written exam (grade A-F)

Mandatory group work (approved/not approved) Credit reduction due to

overlapping courses

Course coordinator Ottar Vasseljen

Responsible unit Department of Public Health and Nursing Other relevant

information

Course name: Epidemiology I

ECTS: 7.5

Learning outcomes: Knowledge The candidate:

- has in-depth knowledge of observational study design and their strengths and weaknesses

- has in-depth knowledge of estimating and interpreting measures of disease occurrence, and in estimating the strength and precision of causal associations

- has in-depth knowledge on the role of chance and systematic error in epidemiological studies, and particularly on confounding, selection bias and information bias (measurement error)

- has knowledge of effect modification and are familiar with terms such as biological and statistical interaction

- has knowledge about concepts related to screening and diagnostic testing

- are familiar with common methods for analysing epidemiological data, and can evaluate under which conditions different methods are useful

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Skills

The candidate:

- can estimate causal associations and interpret these in relation to effect size, precision and validity

- can calculate and interpret diagnostic test properties such as sensitivity, specificity and predictive values

- can identify sources of systematic error, such as confounding, selection bias and information bias, and explain how to these can be handled

- can do regression analyses (logistic regression and Cox regression) and non-parametric survival analyses (Kaplan-Meier), and interpret the results from these emphasising effect size, precision, and systematic error.

General competence The candidate

- can summarize and evaluate results from epidemiological studies, and appraise how these relates to public health

- can apply knowledge of epidemiology for conduction literature reviews, reports, and data collection, as well as for planning and conduction of smaller research projects

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge Admission to a master's programme at the Faculty of Medicine and Health Sciences, NTNU.

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

It is recommended to take MH3000 Introduction to research methods before Epidemiology I.

Academic content The course gives a basic introduction in epidemiological methods focusing on study design and how we can study causes of disease in the population. Measuring disease occurrence, as well as the strength and precision of causal associations are central topics. Assessing systematic error due to confounding, selection and information bias are also central, and how these can influence the validity of the results. Analyses dealing with effect modification and confounding will be taught, as well as diagnostic tests and how these can be evaluated.

The students will get an introduction to statistical analyses suitable for epidemiological data, such as regression and survival analyses.

Learning methods Intensive lectures during the semester.

Lectures and group work/exercises

The course is taught in Norwegian in the fall semester and in English during the spring semester.

Form of assessment and

grading scale 3-hour written exam (grade A-F)

Mandatory attendance at practice (approved/not approved Credit reduction due to

overlapping courses HLS3553, MDHLS373: 4.0 credits

BEV3024, HLS3557, KLH3002: 7.5 credits

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Course coordinator Melanie Rae Simpson

Responsible unit Department of Public Health and Nursing Other relevant

information

Course name: Qualitative Research Methods in Medicine and Health Sciences

ECTS: 7.5

Learning outcomes: Upon completion of the course the student is able to:

- plan and carry out data collection and analysis, as well as present the results from a qualitative study

- describe the epistemological and methodological basis of qualitative methods

- discuss strengths and weaknesses with qualitative methods for data collection and analytical approaches

- conduct individual interviews, participatory observation, and focus group interviews

- carry out analysis of qualitative data and write up the results - evaluate validity and reliability in qualitative studies

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge Admission to a master's programme at the Faculty of Medicine and Health Scienes. Other students may be accepted after an individual assessment.

Restricted admission and reservation for students admitted to a particular program Recommended requirements for previous knowledge

Corresponding knowledge as in the learning outcomes in the

introductory course in methodology in medicine and health subjects, i.e. MH3000

Academic content The course introduces qualitative methodology. During the course, students learn about when and how qualitative methods are relevant to answer research questions. The course addresses questions of theoretical perspectives, design, sampling, data collection, analysis, reporting results, and evaluation of study quality. The aim of the course is to give students practical experience with data collection, analysis and writing up results.

Learning methods Intensive lectures.

Lectures, seminars, exercise-assignments, also in groups.

Form of assessment and

grading scale Two approved written exercises. The approved exercises are valid through the following two semesters (one years after approval) if the students do not finalize his/her exam the same year as the exercises.

Home examination with duration 1 week. The exam is given in Inspera if not any other information is given.

Reservation is made according to type of evaluation in case of postponed examination.

Credit reduction due to

overlapping courses HLS3004, KLH3015, MDV6282, PH3001, SMED8015: 7.5 credits Course coordinator Borgunn Ytterhus

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Responsible unit Department of Public Health and Nursing Other relevant

information

Course name: Experts in Teamwork

ECTS: 7.5

Learning outcomes: General

Based on their own experience, students can describe the

prerequisites for effective interdisciplinary teamwork. They can apply their skills in teamwork, and work together to find solutions to a variety of open problem formulations. They can identify key aspects of their teamwork, and reflect on the essence of these aspects in order to develop their team. They can provide constructive feedback to the people they are working with and to the team as a whole. They can help to change teamwork patterns to make the team more productive and create a positive, constructive and social climate for collaboration.

Knowledge

- Students can reflect on how their teamwork is influenced by their own behaviour patterns and attitudes, as well as those of others.

- Students can apply relevant concepts and fundamental group theory to develop a perspective on their own specific collaborative situations.

Skills

- Students can analyse their teamwork, and on the basis of their insight reflect on how they communicate, plan, decide, accomplish tasks, handle disagreements and relate to professional, social and personal challenges.

- Students can take initiatives (actions) that encourage cooperation, and they can change their patterns of interaction if necessary.

- Students can provide feedback to others in the team in constructive ways, and reflect on feedback from the team.

General competence

- Students have extended their perspective on their own specialized knowledge in their encounter with skills from other disciplines. They can communicate and apply skills they have developed in their own field in collaboration with students from other disciplines.

- Students can collaborate with people from other disciplines, and they can contribute to realizing the potential of their combined

interdisciplinary expertise.

Level: Master

Teaching semester: Spring Language of instruction: English Required previous

knowledge EiT is normally compulsory in all programmes of study at second- degree (master’s) level at NTNU. The programme descriptions for the programmes of study provide information about the stage in the programme at which EiT is to be completed and whether EiT can be

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