ECTS credits ECTS credits: 30
ECTS Hours Rules/Memories Student's work ECTS: 719 Hours of tutorials: 22.5 Interactive Classroom: 8.5 Total: 750
Use languages English
Type: End of master’s Degree Project RD 1393/2007 - 822/2021
Departments: Electronics and Computing
Areas: Computer Science and Artificial Intelligence, Electronics, Languages and Computer Systems
Center Higher Technical Engineering School
Call: End of Degree Projects and End of Master's Degree Projects
Teaching: With teaching
Enrolment: Enrollable
The main objective of the Master's Thesis Dissertation is the analysis, design, implementation and validation of a project, carried out individually, related to Computer Vision. It may be developed in a company or entity with proven experience in R & D & i projects, being co-tutored by a professional in the field. The project must provide innovation components that go beyond the mere development of a standard application, service or line of business. The MTD must promote the contribution of added value by the student in innovative projects, and their direct relationship with the job market or with some cutting-edge research aspect.
The Master's Thesis Dissertation will consist of an original exercise carried out individually, consisting of a research or innovation project related to computer vision. The project may be carried out at the proposal of a Company, Public Organization, University, Research Center or Technological Center that has signed a collaboration agreement with some of the Universities participating in the Master, or in a Research Group of the USC, UDC , UVigo or U.Porto. In all cases, the MTD will be tutored or co-tutored by faculties holding a PhD belonging to departments involved in teaching, or from other PhD lecturers from the participating universities that have the authorization of the Interuniversity Academic Commission.
The bibliography will be specific for each specific topic and project and will be provided in each case by the people in charge of tutoring.
Basic:
CB9. That the students know how to communicate their conclusions –and the ultimate knowledge and reasons that support them– to specialized and non-specialized audiences in a clear and unambiguous way.
Transversal:
CT1. Practice the profession with a clear awareness of its human, economic, legal and ethical dimension and with a clear commitment to quality and continuous improvement.
CT2. Capacity for teamwork, organization and planning.
CT3: Development of the innovative and entrepreneurial spirit.
General:
CG2. Ability to analyze the needs of a company in the field of computer vision and determine the best technological solution for it.
CG3 - Ability to develop computer vision systems depending on existing needs and apply the most appropriate technological tools
CG4. Capacity for critical analysis and rigorous evaluation of technologies and methodology.
CG5. Ability to identify unsolved problems and provide innovative solutions.
CG6 - Ability to identify theoretical results or new technologies with innovative potential and convert them into products and services useful to society
Specific:
CE4. To conceive, develop and evaluate complex computer vision systems.
CE8. To communicate and disseminate the results and conclusions of research in the field of
computer vision
Hours of seminars will be used to explain the scope of the project and receive assistance in specific aspects outside the contents of the Master. Follow-up tutorials will also be used with the people responsible for supervising the project, advising, and reviewing documentation, memory and presentation.
Report 70%
Presentation and defense 30%
The TFM has a non-contact workload of 795 hours.
They are not considered