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Modeling in Biomedical Engineering

Code: EBE0148     Acronym: MEBI

Keywords
Classification Keyword
OFICIAL Biomedical Engineering

Instance: 2016/2017 - 2S

Active? Yes
Responsible unit: Department of Metallurgical and Materials Engineering
Course/CS Responsible: Master in Bioengineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MEB 29 Syllabus 1 - 6 56 162
MIB 13 Syllabus 4 - 6 56 162

Teaching Staff - Responsibilities

Teacher Responsibility
José Domingos da Silva Santos

Teaching - Hours

Recitations: 3,00
Laboratory Practice: 1,00
Type Teacher Classes Hour
Recitations Totals 1 3,00
José Domingos da Silva Santos 1,50
Maria Luísa Ferreira dos Santos Bastos 1,50
Laboratory Practice Totals 2 2,00
Maria Luísa Ferreira dos Santos Bastos 2,00
Mais informaçõesLast updated on 2017-03-15.

Fields changed: Objectives, Resultados de aprendizagem e competências, Pre_requisitos, Métodos de ensino e atividades de aprendizagem, Fórmula de cálculo da classificação final, Provas e trabalhos especiais, Bibliografia Complementar, Obtenção de frequência, Programa, Trabalho de estágio/projeto, Lingua de trabalho, Software de apoio à Unidade Curricular, Componentes de Avaliação e Ocupação, Avaliação especial

Teaching language

Suitable for English-speaking students

Objectives

Modeling and simulation are rapidly gaining terrain as an alternative to the established medical research methodologies of clinical investigation and animal experimentation.  Similarly, simulation as a medical training modality is becoming realistic enough to represent an alternative to training on real patients and animals.  Modeling is also a fundamental tool for the customization of medical implants and prostheses using rapid prototyping techniques. The main objective of this course is to introduce students to modeling and simulation concepts and applications in these two specific areas of biomedical engineering reflected in parts I and II of the program below. Students will have a chance to work individually and in group and to improve their oral and written communication skills, as well as to critically analyze the subjects presented during the classes.

Learning outcomes and competences

In the first part of this subject, students obtain competences on all steps of 3D modeling and on the rapid prototyping technologies that are mostly used in the medical area, for the fabrication of 3D models and of customized metallic, ceramics and polymeric biomaterials. In the second part of the subject, students develop the capacity of building models of human physiology, with special attention to the education and training of health professionals. The learning process includes the competences acquisition in the whole process to develop a model: critical analysis of the needs of modeling, definition of the requirements, conceptualization, mathematical description, programming and verification of the model and validation of the simulation results.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Have a good knowledge of Biomaterials and the manufacturing processes that give rise to them. Have basic knowledge of algebra, calculus, and algorithmic language.

Program

Part I: 3-D Biomodelling and rapid prototyping. Introduction and basic concepts. 3D Medical models & Prototypes. Rapid prototyping technologies. Reverse Engineering. Guided implantology. Fabrication of customized biomaterials. Customized bioceramics, biopolymers and biometals. Clinical applications. Part II - Modeling and simulation of human physiology: Interface and model requirements; Conceptual models; Mathematical models; Discretization and software implementation; Interpretation of simulation results; Applications.

Mandatory literature

Fernando Jorge Alves et al; “Protoclick- Prototopiagem Rápida”, 2001
Kai, Chua Chee; Rapid prototyping. ISBN: 981-238-117-1
Principles of Materials Science and Engeneering
Willem van Meurs; Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology, McGraw-Hill Professional; 1 edition , 2011. ISBN: 10: 0071714456 e 13: 978-0071714457

Complementary Bibliography

Insight Media; Medical Applications of Rapid Prototyping, Insight Media, 2009
Rosenbaum, Sara E.; Basic pharmacokinetics and pharmacodynamics: An integrated textbook and computer simulations, John Wiley & Sons, 2016. ISBN: 978-0-470-56906-1
Keener, James, and James Sneyd; Mathematical PhysiologyII: Systems Physiology, Springer, 2009. ISBN:  (second edition)

Teaching methods and learning activities

To stimulate active engagement with the subject matter, the students are very often asked to prepare the class by reading selected chapters. During class, the teacher provides clarifications of this content and highlights the more important aspects of it. Additional examples are worked out by the students, and discussed collectively. It is normal that students are questioned during the class.

Software

Matlab

Evaluation Type

Evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 75,00
Trabalho prático ou de projeto 25,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 93,00
Frequência das aulas 42,00
Total: 135,00

Eligibility for exams

A minimum of 10 (ten) in the final grade.

Calculation formula of final grade

P: Project
E: Exam
G: Final grade 

G = 0.75*E + 0.25*P

Examinations or Special Assignments

Not applicable

Internship work/project

Within the scope of the Laboratory Project classes (PL), the students will develop a modeling and simulation project of human physiology.

Special assessment (TE, DA, ...)

 Through a final examination. 

Classification improvement

One final exam will take place for classification improvement.

Observations

Suitable for English-speaking students.
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