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The students must choose between module 2,3 and 4. Being the module 1 and 5 compulsory.
MODULE 1: Quality, innovation and research
Minimum credits:17.5 Type: Compulsory
SUBJECT: Quality and innovation management
Minimum credits:8 Type: Compulsory
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34367 |
Innovation and research in medical technology |
Compulsory |
1 |
A |
3 |
1 |
4 |
SP/EN |
|
34358 |
Quality management and certification of medical products |
Compulsory |
1 |
A |
3 |
1 |
4 |
SP/EN |
SUBJECT: Design and analysis of experiments
Minimum credits:8 Type: Compulsory
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34369 |
Predictive analytics in healthcare (UV) |
Compulsory |
1 |
A |
3 |
1 |
4 |
SP/EN |
|
34368 |
Preclinical and clinical research. Design of experiments. |
Compulsory |
1 |
A |
3 |
1 |
4 |
SP/EN |
SUBJECT: Analysis of the mechanisms of control and regulation of the body functions
Minimum credits:1.5 Type: Compulsory
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34370 |
Mechanisms of control and regulation of the body functions |
Compulsory |
1 |
A |
1.5 |
0 |
1.5 |
SP/EN |
MODULE 2: Intensification on bioelectronics and medical technology
Minimum credits:22.5 Type: Elective
SUBJECT: Neuroengineering and devices
Minimum credits:13.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34373 |
Advanced processing of biomedical signals |
Elective |
1 |
A |
3 |
1.5 |
4.5 |
SP |
|
34372 |
Design of remote monitoring devices |
Elective |
1 |
A |
2.5 |
2 |
4.5 |
SP |
|
34371 |
Neuroengineering |
Elective |
1 |
A |
3 |
1.5 |
4.5 |
SP |
SUBJECT: Modelling and simulation
Minimum credits:4.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34374 |
Modelling and simulation of bioelectric systems |
Elective |
1 |
B |
3.5 |
1 |
4.5 |
EN |
SUBJECT: Nanodevices
Minimum credits:4.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34375 |
Nanodiagnostics and nanotherapy |
Elective |
1 |
B |
3.5 |
1 |
4.5 |
EN |
MODULE 3: Intensification on advanced technologies in design of implants and tissue engineering
Minimum credits:22.5 Type: Elective
SUBJECT: Functional evaluation and ergonomics
Minimum credits:9 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34376 |
Advanced biomechanical techniques for the analysis of body functions |
Elective |
1 |
A |
2.5 |
2 |
4.5 |
SP |
|
34377 |
Ergonomics and disability |
Elective |
1 |
A |
2.5 |
2 |
4.5 |
SP |
SUBJECT: Tissue engineering
Minimum credits:4.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34378 |
Advanced tissue engineering and regenerative therapy |
Elective |
1 |
A |
3 |
1.5 |
4.5 |
EN |
SUBJECT: Prostheses and implants
Minimum credits:9 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34379 |
Design and validation of technical aids |
Elective |
1 |
B |
2.5 |
2 |
4.5 |
SP |
|
34380 |
Design and validation of surgical implants |
Elective |
1 |
B |
2.5 |
2 |
4.5 |
SP |
MODULE 4: Intensification on Information and Communication Technology for the health and well-being
Minimum credits:22.5 Type: Elective
SUBJECT: Data analysis
Minimum credits:9 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34381 |
Analysis of genomic data |
Elective |
1 |
A |
3 |
1.5 |
4.5 |
EN |
|
34382 |
Data quality and interoperability |
Elective |
1 |
A |
3 |
1.5 |
4.5 |
EN |
SUBJECT: Communication systems
Minimum credits:4.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34383 |
Design of communication systems. Internet of things |
Elective |
1 |
B |
2.5 |
2 |
4.5 |
SP |
SUBJECT: Imaging techniques
Minimum credits:4.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34384 |
Molecular imaging |
Elective |
1 |
B |
3 |
1.5 |
4.5 |
SP |
SUBJECT: Platforms in personalized medicine
Minimum credits:4.5 Type: Elective
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34385 |
Omic platforms in personalized medicine |
Elective |
1 |
A |
3 |
1.5 |
4.5 |
SP |
MODULE 5: Master Thesis
|
Code |
Course Name |
Type |
Year |
Sem. |
T.C |
P.C |
ECTS |
Lang. |
|
34386 |
Master Thesis |
Thesis |
1 |
B |
0 |
20 |
20 |
SP/EN |
