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Dissertation

Code: MECD13     Acronym: DIS

Keywords
Classification Keyword
CNAEF Informatics Sciences

Instance: 2024/2025 - 2S Ícone do Moodle

Active? Yes
Responsible unit: Department of Electrical and Computer Engineering
Course/CS Responsible: Master in Data Science and Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MECD 23 Syllabus 2 - 30 28 810

Teaching Staff - Responsibilities

Teacher Responsibility
Ana Cristina Costa Aguiar

Teaching language

Portuguese
Obs.: Suitable for English-speaking students

Objectives




Individual research and development work, leading to the preparation of a scientific dissertation on a topic within the field of knowledge of MECD or aiming at the integration and application of knowledge, skills, and attitudes acquired throughout the course to solve complex engineering problems.


It can be either research or technological development and application work, involving experimental and/or simulation methods, promoting the development of initiative, decision-making, innovation, creative and critical thinking skills in an individual or group work context.


It should involve the analysis of new situations, the collection of relevant information, the development and selection or design of approach methodologies and problem-solving tools, their resolution, the synthesis exercise, the preparation of relevant dissertation subject to public presentation and discussion of results.


It can be conducted in an academic or academic and business environment. In this case, the objectives, nature, and form of supervision of the work should be subject to prior agreement between the student and the supervisors from the Faculty and the company, validated by the Course Director, ensuring the satisfaction of scientific and educational objectives of the course unit and protecting potential confidentiality issues on the part of the hosting company/institution.





 

 

Learning outcomes and competences


  • Identify and summarize relevant concepts and proposals for the work to be carried out.

  • Systematize the state of the art in the work area and critically analyze it.

  • Define a problem to solve considering the current landscape in the chosen area.

  • Create a solution to the presented problem that is creative and innovative.

  • Design theoretical or experimental methodologies suitable for solving the problem.

  • Plan the work to be done taking into account the available time.

  • Implement the defined methodologies methodically, adapting to time constraints.

  • Critically analyze the work done and the results obtained and reflect on it from a scientific perspective.

Working method

Presencial

Program

There is no defined program because the topics covered depend on the thesis subject.

Mandatory literature

João Paulo de Castro Canas Ferreira; Norma de formatação e orientações para a escrita de dissertações ou relatórios de projecto do
Raul Sidnei Wazlawick; Metodologia de pesquisa para ciência da computação. ISBN: 978-85-352-3522

Teaching methods and learning activities

Appropriate tutorial guidance tailored to the defined work plan.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation Weight (%)
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese 15,00
Trabalho escrito 35,00
Trabalho prático ou de projeto 50,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Apresentação/discussão de um trabalho científico 60,00
Elaboração de relatório/dissertação/tese 150,00
Trabalho de investigação 600,00
Total: 810,00

Eligibility for exams

Submission of the dissertation document and conducting the respective public defense.

Calculation formula of final grade

CF = 50%.TD + 35%.R + 15%.AP
   where:
CF = Final Classification
TD = Evaluation of performed work
R = Evaluation of the thesis document
AP = Evaluation of the public presentation

Special assessment (TE, DA, ...)

The evaluation of students with special status is the same as that of regular students.

Classification improvement

There is no grade improvement in the course "Dissertation" (see "Specific Regulations for Student Assessment at FEUP").

Observations

ChatGPT was used in the translation to English.
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