Assistive and Health-Care Technologies

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Home » Studies » Masters » Master in Artificial Intelligence » Curriculum » Syllabus » Assistive and Health-Care Technologies
Credits
4.5
Types
Elective
Requirements
This subject has not requirements
Department
EEL;ESAII
Assistive technologies and their incidence on healthcare are addressed and analysed. Main objective of the course is focused on the use of appropiate technologies depending on people needs and their environment. Emphasys will be on the improvement in the quality of life of affected people.

Teachers

Person in charge

  • Andreu Catala Mallofre ( )

Weekly hours

Theory
1
Problems
0
Laboratory
1.3
Guided learning
0.4
Autonomous learning
5

Competences

Generic Technical Competences

Generic

  • CG1 - Capability to plan, design and implement products, processes, services and facilities in all areas of Artificial Intelligence.
  • CG3 - Capacity for modeling, calculation, simulation, development and implementation in technology and company engineering centers, particularly in research, development and innovation in all areas related to Artificial Intelligence.

Technical Competences of each Specialization

Academic

  • CEA10 - Capability to understand advanced techniques of Human-Computer Interaction, and to know how to design, implement and apply these techniques in the development of intelligent applications, services or systems.
  • CEA12 - Capability to understand the advanced techniques of Knowledge Engineering, Machine Learning and Decision Support Systems, and to know how to design, implement and apply these techniques in the development of intelligent applications, services or systems.

Professional

  • CEP3 - Capacity for applying Artificial Intelligence techniques in technological and industrial environments to improve quality and productivity.
  • CEP4 - Capability to design, write and report about computer science projects in the specific area of ??Artificial Intelligence.
  • CEP6 - Capability to assimilate and integrate the changing economic, social and technological environment to the objectives and procedures of informatic work in intelligent systems.
  • CEP7 - Capability to respect the legal rules and deontology in professional practice.

Transversal Competences

Teamwork

  • CT3 - Ability to work as a member of an interdisciplinary team, as a normal member or performing direction tasks, in order to develop projects with pragmatism and sense of responsibility, making commitments taking into account the available resources.

Appropiate attitude towards work

  • CT5 - Capability to be motivated for professional development, to meet new challenges and for continuous improvement. Capability to work in situations with lack of information.

Reasoning

  • CT6 - Capability to evaluate and analyze on a reasoned and critical way about situations, projects, proposals, reports and scientific-technical surveys. Capability to argue the reasons that explain or justify such situations, proposals, etc..

Analisis y sintesis

  • CT7 - Capability to analyze and solve complex technical problems.

Objectives

  1. A specific objective will be the specification and analysis of a health service based on technology use (functionality, patient/user perspective, requirements...)
    Related competences: CEA10, CG1, CG3, CEP3, CEP4, CEP6, CEP7, CT3, CT5, CT7,
  2. Acquiring correct skills on Assistive technologies
    Related competences: CEA12, CT3, CT5, CT6,

Contents

  1. Assistive technologies. State of the Art. Challenges and perspectives.
    Overview on the state of the art, depending on the specific condition and domain.
  2. Healthcare domain. Technology based services.
    Specific healthcare domain and the possible corresponding technology based services will be discussed.
  3. Ambient Assisted Living approach
    Principles of the AAL related technologies applied to the healthcare domain.
  4. Ethical and usability aspects. Quality of life
    Aspects related with ethics and user-based concepts will be treated. Improvement of the quality of life of the patients is in the focus.

Activities

Activity Evaluation act


Assistive technologies. Challenges and perspectives.


Objectives: 2
Theory
4h
Problems
0h
Laboratory
4h
Guided learning
1h
Autonomous learning
13.8h

Healthcare domain. Technology based services.


Objectives: 2
Theory
3h
Problems
0h
Laboratory
4h
Guided learning
1h
Autonomous learning
13.8h

Ambient Assisted Living approach


Objectives: 1 2
Theory
3h
Problems
0h
Laboratory
4h
Guided learning
1h
Autonomous learning
13.8h

Ethical and usability aspects. Quality of life


Objectives: 1 2
Theory
3h
Problems
0h
Laboratory
6.8h
Guided learning
1h
Autonomous learning
13.8h

Mid-term evaluation



Week: 8
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
2h
Autonomous learning
10h

Final presentation



Week: 14
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
10h

Teaching methodology

Methodology will be mainly based on two different activities: theory sessions and practical sessions. Both will be developed with the active participation of the students.

The schem for the theory sessions will be:

- Plenary conferences given by the teacher
- Self-study sessions done by the students on a related topic
- Students presentations about the conclusions on the topic (presentations will be part of the evaluation activities)

Practical aspect will follow a Project Based Learning approach:
1.The student should do a literature review of the field, detecting the most important research groups, patents and projects in his area of interest
2.Design of a real project based on a use case
3.Detailed analysis of the most convenient architecture and algorithmia.
4.Technologies and innovative aspects of the proposed solution
A presentation of the final project will be part of the evaluation process

Evaluation methodology

Evaluation will be according the implemented methodology for the course. The student will get a FINAL MARK mainly based on a continous evaluation scheme. A personal Final Exam based on theory aspects will be done, with a specific weight in the Final Mark.

Final Mark = 0,4 PROJECT evolution mark + 0,3 PROJECT final assessment + 0,15 Presentation and reporting of theory sessions + 0,15 Final Exam mark.

- The evolution of the project will be based on a number of scheduled sessions that will be evaluated by the professors and the students (some of them)

- The final assessment of the Project will be done in a public presentation session at the end of the semester. This session will be evaluated by the professors and the students. Students will be asked to submitt a complete report of the Project that will be evaluated by the professors, but will be available to all the students for their information.

- After some specific theory sessions, the students will be asked to prepare a related subjet that they will present to the audience. The professors and the students will evaluate this session (with different weights in the marks) and a report will be submitted after this presentation. Professors will consider these reports in the professors' evaluation.

- In the final exam, the student will be asked to answer some specific questions related to the theory aspects developed along the course.

Bibliography

Basic: