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General information

Academic year:
2024
Description:
Master thesis.
Academic credits:
30
Course coordinator:
Arnau Oliver i Malagelada

Groups

Group J

Duration:
One-semester, 2nd semester
Teaching staff:
Xavier Llado Bardera  / Robert Marti Marly  / Arnau Oliver i Malagelada  / Lluís Pacheco Valls
Language of the classes:

Group S

Duration:
One-semester, 2nd semester
Teaching staff:
Xavier Llado Bardera  / Robert Marti Marly  / Arnau Oliver i Malagelada  / Lluís Pacheco Valls
Language of the classes:
English (100%)

Competences

  • CB7-That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader contexts related to their area of ??study
  • CB8-That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments
  • CB9-That students know how to communicate their conclusions and the knowledge and ultimate reasons that sustain them to specialized and non-specialized audiences in a clear and unambiguous way
  • CE62-Evaluate a segmentation algorithm and estimate its ease of use for daily clinical use. Estimate the crucial factors to make it a success
  • CE63-Practical experience in the development of medical image analysis systems
  • CE64-Practical experience in project work and people management
  • CE65-Practical experience of teamwork with very strict periods of time

Other competences

  • CS1: Critical understanding of the principal theories, concepts and tools underpinning the domain of computer vision and signal and image analysis applied to the medical imaging and CAD development and its clinical applications
  • CS2: Extensive, detailed and critical understanding of at least one specialist area within the domain, incorporating awareness of current issues and research.
  • CS7: Develop a critical understanding of the applications of medical image analysis in a clinical practice, as well as their scope and performance.
  • TS1: Abilities to critically understand and apply relevant theories and technologies to develop analytical and design skills.
  • TS2: Develop and utilise advanced problem-solving skills and techniques in the development of original and creative solutions for general and specialist issues.
  • TS5: Plan and to execute a significant project of research, investigation or development in a specialist area, demonstrating extensive, detailed and critical understanding of that specialism.
  • TS8: Work autonomously and within teams, as appropriate, demonstrating a capability for both taking and critically reflecting on roles and responsibilities
  • TS9: Develop and demonstrate skills and techniques in communication with peers and academic/industrial staff, using a range of appropriate methods to suit different levels of knowledge and expertise within the audience.
  • TS12: The ability to work in teams and to overcome and take advantage of the cultural hurdles that often challenge professionals working in international or interdisciplinary teams with colleagues of differing professional and cultural backgrounds.

Syllabus

1. Tesi de màster

Activities

Activity type Hours with a teacher Hours without a teacher Virtual hours with a teacher Total
Analysis / case study 0 600,00 0 600,00
Individual preparation of assignments 0 40,00 0 40,00
Student presentations 1,00 19,00 0 20,00
Group tutorials 90,00 0 0 90,00
Total 91,00 659,00 0 750

Bibliography

    Assessment and Grading

    Assessment activities:

    Description of the activity Assessment Activity % Remediable subject
    Development of the master thesis Daily follow-up of the work and achievement of the proposed objectives. 40 No
    Report of the master thesis The evaluation is carried out by an independent reviewer. 30 No
    VIVA defense Defence in front of a panel of three experts. 30 No

    Grading

    The master thesis will be evaluated using the following incomings:
    a. Supervisor (30%). The supervisor will evaluate the work of the student in terms of quality, management, performance, and the dissertation document.
    b. Second Reader (30%). The dissertation document will be evaluated by a second reader belonging to one of the universities of the consortium. The assignment will be done by the Academic Board according to the topic and expertise of the reader.
    c. VIVA assessment (40%). The examination board will evaluate the oral presentation (presentation skills, structure, results, methodology, etc.) and the questions answered by the student.

    Specific criteria for the "No show" grade:
    "No Presentat" will be given to a student not attending the VIVA.

    Single Assessment:
    The master thesis will be evaluated using the following incomings:
    a. Supervisor (30%). The supervisor will evaluate the work of the student in terms of quality, management, performance, and the dissertation document.
    b. Second Reader (30%). The dissertation document will be evaluated by a second reader belonging to one of the universities of the consortium. The assignment will be done by the Academic Board according to the topic and expertise of the reader.
    c. VIVA assessment (40%). The examination board will evaluate the oral presentation (presentation skills, structure, results, methodology, etc.) and the questions answered by the student.

    Minimum requirements to pass:
    A minimum grade of 5/10 will be required to be considered to have passed the subject.

    Remarks

    Before you can start working on your Master's thesis, the general rule is that all other courses needed to complete your degree must be completed in advance. In certain cases, students can be allowed to begin their thesis work with remaining courses. In such cases, the students must send a written application to the faculty, asking to begin their thesis work even with remaining courses. The application must be signed by the student's thesis supervisor, confirming that the remaining course(s) will not affect the student's ability to complete the thesis. Please note that:
    • No more than 2 remaining courses are allowed.
    • The remaining course(s) cannot be of significant importance to the student's thesis work.
    • Any compulsory field work in the student's programme must be completed.

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