1. General information
Course:
APPLIED BIOMEDICAL ENGINEERING
Code:
56524
Type:
ELECTIVE
ECTS credits:
6
Degree:
359 - UNDERGRAD. IN INDUSTRIAL ELECTRONICS AND AUTOMAT. ENGINEERING (CR)
Academic year:
2021-22
Center:
602 - E.T.S. INDUSTRIAL ENGINEERING OF C. REAL
Group(s):
20
Year:
4
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
MARIA GLORIA BUENO GARCIA
- Group(s):
20
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico, 2-D02
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
gloria.bueno@uclm.es
Lecturer:
NOELIA VALLEZ ENANO
- Group(s):
20
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico, 2-C01
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
Noelia.Vallez@uclm.es
2. Pre-Requisites
Basic knowledge of computer programming. Programming language: Matlab.
3. Justification in the curriculum, relation to other subjects and to the profession
Biomedical engineering is the result of the application of engineering principles and techniques to the field of medicine and biology. It is mainly dedicated to the development of bio-sanitary products and technologies such as medical equipment, prostheses, medical devices, diagnostic devices (among which biomedical imaging plays a very important role), and therapy devices. It also intervenes in the management or administration of technical resources linked to a hospital system. It combines the experience of engineering with medical needs to obtain benefits in health care. Moreover, tissue culture, as well as the production of certain drugs, is usually considered part of bioengineering.
Therefore, biomedical engineering can be considered a subject where electrical, mechanical, chemical, optical, signal processing, computer vision and other engineering principles are applied to understand, modify or control systems; as well as to design and produce assistance tools in the process of patient diagnosis, monitoring and treatment. Thus, it is mainly related to subjects such as computer vision (for the part of diagnostic imaging and therapy devices), mechanics, electricity, signal processing, systems and signals or automatic regulation.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| A02 | To know how to apply knowledge to work or vocation in a professional manner and possess the competences that are usually demonstrated by the formulation and defence of arguments and the resolution of problems in the field of study. |
| A04 | To be able to transmit information, ideas, problems and solutions to a specialized audience. |
| A05 | To have developed the learning skills necessary to undertake subsequent studies with a greater degree of autonomy. |
| A07 | Knowledge of Information Technology and Communication (ITC). |
| A08 | Appropriate level of oral and written communication. |
| A09 | Ethical and professional commitment. |
| A12 | Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations. |
| A13 | Ability to take the initiative to solve problems, take decisions, creativity, critical reasoning and ability to communicate and transmit knowledge, skills and abilities in Industrial Electronic Engineering and Automation. |
| A18 | To have organization and planning skills used in businesses and other institutions and organizations. |
| CB02 | Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area. |
| CB03 | Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues. |
| CB05 | Have developed the necessary learning abilities to carry on studying autonomously |
| E09 | Knowledge of technologies necessary for developing biomedical applications. |
| E11 | Knowledge of electronic communications and modes of transmission. Knowledge of telematics. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Ability to design, configure and calibrate systems of control, measurement and acquisition of data using the environment of computer based graphics | |
| Know how to apply fundamental equations of the mechanics of solids to the study of the movement of robots and manipulators, with the aim of being able to develop efficient and precise algorithms for the control of movement | |
| The student is familiar with and knows how to use sensors and actuators with an application in the industrial environment | |
| Additional outcomes | |
| Description | |
6. Units / Contents
-
Unit 1: Biomedical Engineering Introduction
-
Unit 2: Biomedical Engineering Fundamentals
-
Unit 3: Biomedical Instrumentation
-
Unit 4: Biomechanics and Biomaterials
-
Unit 5: Biomedical Imaging
-
Unit 6: Biomedical Computing and Telemedicine
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | A02 A04 A05 A07 A08 A09 A12 A13 A18 CB02 CB03 CB05 E09 E11 | 1 | 25 | N | N | The teacher will explain the fundamental contents of the topic. | |
| Laboratory practice or sessions [ON-SITE] | Cooperative / Collaborative Learning | A02 A04 A05 A07 A08 A09 A12 A13 A18 CB02 CB03 CB05 E09 E11 | 1 | 25 | Y | Y | They will consist in the resolution of various problems and tests related to the content of the subject. The appropriate specific software will be used in each of the practices. | |
| Study and Exam Preparation [OFF-SITE] | Self-study | A02 A04 A05 A07 A08 A09 A12 A13 A18 CB02 CB03 CB05 E09 E11 | 3.6 | 90 | N | N | The student will do an autonomous work for the preparation of tests and works of the subject. | |
| Workshops or seminars [ON-SITE] | Workshops and Seminars | A02 A04 A05 A07 A08 A09 A12 A13 A18 CB02 CB03 CB05 E09 E11 | 0.24 | 6 | Y | Y | Conferences by experts in several areas of Biomedical Engineering. | |
| Field work [ON-SITE] | Self-study | A02 A04 A05 A07 A08 A09 A12 A13 A18 CB02 CB03 CB05 E09 E11 | 0.16 | 4 | Y | Y | Assistance to CSIC centers specialized in Biomedical Engineering. | |
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
| Total credits of out of class work: 3.6 | Total hours of out of class work: 90 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Assessment of problem solving and/or case studies | 20.00% | 20.00% | Laboratory exercises |
| Projects | 40.00% | 40.00% | Final practice work |
| Progress Tests | 40.00% | 40.00% | Short questionnaires |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:To pass the subject the student must obtain a minimum final mark of 5 out of 10.
-
Non-continuous evaluation:Evaluation criteria not defined
Specifications for the resit/retake exam:
The conditions remains the same. Students can keep the mark of the activities that are equal or greater than 5.
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Unit 1 (de 6): Biomedical Engineering Introduction | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
| Laboratory practice or sessions [PRESENCIAL][Cooperative / Collaborative Learning] | 2 |
| Unit 2 (de 6): Biomedical Engineering Fundamentals | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
| Laboratory practice or sessions [PRESENCIAL][Cooperative / Collaborative Learning] | 2 |
| Unit 3 (de 6): Biomedical Instrumentation | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
| Laboratory practice or sessions [PRESENCIAL][Cooperative / Collaborative Learning] | 4 |
| Unit 4 (de 6): Biomechanics and Biomaterials | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
| Laboratory practice or sessions [PRESENCIAL][Cooperative / Collaborative Learning] | 4 |
| Unit 5 (de 6): Biomedical Imaging | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 10 |
| Laboratory practice or sessions [PRESENCIAL][Cooperative / Collaborative Learning] | 10 |
| Unit 6 (de 6): Biomedical Computing and Telemedicine | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 8 |
| Laboratory practice or sessions [PRESENCIAL][Cooperative / Collaborative Learning] | 8 |
| Global activity | |
|---|---|
| Activities | hours |
10. Bibliography and Sources