Programplaner og emneplaner - Student
PHVIT9000 Helsevitenskap I Emneplan
- Engelsk emnenavn
- Health Sciences I
- Studieprogram
-
Ph.d.-program i helsevitenskapDoktorgradsstudium i helsevitenskap - enkeltemneopptak
- Omfang
- 5.0 stp.
- Studieår
- 2025/2026
- Pensum
-
VÅR 2026
- Timeplan
- Programplan
- Emnehistorikk
-
Innledning
This course adopts a critical perspective of the empirical and theoretical basis for the significance of health for people as individuals and as participants in society. Looking at how the concept of health is constructed through interaction between health sciences, health service actors and professions, and members of society allows for important discussions that can raise awareness within multidisciplinary and interdisciplinary fields of health sciences. The course covers the development of different views of health and places these concepts in a complex physical, psychological, behavioral, and social context. The ethical and policy challenges posed by new health technologies are also discussed.
Forkunnskapskrav
Admission to the PhD programme.
The course can also be offered to students who have been admitted to the "Health Science Research Programme, 60 ECTS", by prior approval from the supervisor and based on given guidelines for the research programme.
Læringsutbytte
On completion of the course, the PhD candidate has achieved the following learning outcomes, defined in terms of knowledge, skills, and general competence:
Knowledge
The PhD candidate
- can critically assess different theories of and approaches to health
- can assess the usefulness and application of multidisciplinary and interdisciplinary research in health sciences
- can assess the usefulness and application of health technology developments
- address complex theories of health and challenge established knowledge in the health sciences and in their own discipline and/or profession
General competence
The PhD candidate can
- identify relevant ethical and health policy issues
- identify and discuss research-based knowledge on health
- assess the need for new research to promote health and prevent illness
- participate in debates about health policy and ethics
Arbeids- og undervisningsformer
The course gives the students the necessary fundamental understanding of the principles used in the design of large complex structures. An important goal is to give knowledge and experience of how to use the finite element method (FEM) correctly in design calculations, with emphasis on non-linearities in structural engineering. In particular, the students will gain a deeper understanding of the non-linear behaviour of structural materials, and achieve both theoretical and practical insight. The course covers theories of elastic and elasto-plastic materials, introduces solution methods in non-linear finite element analysis, and contains the following topics: Classification of nonlinearities (geometrical, material and boundary conditions). Introduction of continuum mechanics/Theory of elasticity: Stresses and equilibrium, strains and compatibility, material law. Strain- and stress measures. Plasticity theory (yield criteria, flow law, hardening, effects of strain rate and temperature). Mathematical models for elastic and elastoplastic materials. Solution methods in nonlinear FEA. Constraints and contact. Geometric nonlinear FEA.
Arbeidskrav og obligatoriske aktiviteter
None
Vurdering og eksamen
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:
- has advanced knowledge about the simulation and analysis of concrete and metal structures.
- has knowledge about basic theory of elasticity and plasticity.
- has knowledge about material models used in FEA.
- has in-depth knowledge of the non-linear behaviour of structural materials.
- understands how to quantify uncertainties in load and material descriptions.
Skills:
The student is capable of:
- modelling and simulating components and structures with non-linear behaviour, and evaluating the results.
- selecting appropriate analysis and material models, and carrying out structural analyses for determining internal forces and moments, stresses, strains, and displacements with a satisfactory degree of accuracy.
- choosing appropriate material models and material properties to solve the problem in question.
- determining the parameters of mathematical models for materials from laboratory experiments or from the literature.
- describing the difference between linear and non-linear structural analysis.
- explaining the theoretical basis for linear and non-linear geometry and material behaviour.
General competence:
The student is capable of:
- using FEM software in practical structural analyses.
- assessing approaches to and limitations in linear and non-linear analyses.
- using scholarly reports and articles to gain an overview of the latest developments in research in the field of non-linear analysis of structures.
Hjelpemidler ved eksamen
All
Vurderingsuttrykk
The course will provide the students with an understanding of what a mathematical model is and how we use models to gain insights into systems and processes in science and engineering. The course will train the students in using analytical and computational methods for analyzing and solving differential equations and prepare them for developing, analyzing and simulating mathematical models in their own projects. The models and methods taught in this course are generic and applicable not only in science, but also in various industrial contexts.
Sensorordning
No formal requirements over and above the admission requirements.
Opptakskrav
A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
On successful completion of the course the student:
- knows the relevance of a selection of mathematical models to real-world phenomena
- has a thorough understanding of how mathematical modelling and scientific computing are utilized in various industrialized settings
- has a repertoire of methods to solve and/or analyze ordinary and partial differential equations (ODEs and PDEs)
- knows how to analyze the dynamics of an ODE system
Skills
On successful completion of this course the student can:
- derive mathematical models from facts and first principles
- apply mathematical modelling techniques on scenarios relevant to industry
- can implement mathematical models on a computer
- analyse ODE systems and use bifurcation theory to elucidate the qualitative behavior of the systems
- implement and use a selection of numerical methods for solving ODEs and PDEs
General competence
On successful completion of this course the student:
- is aware of the usefulness and limitations of mathematical modelling as well as of pitfalls frequently encountered in modelling and simulation
- is able to discuss properties of a system using the equations of the mathematical model
- can explain and use numerical methods and interpret results of numerical simulations