Dissertation

Code:

BINF/BC5001

Acronym:

BINF/BC5001

Level:

500

Keywords
Classification	Keyword
OFICIAL	Bioinformatics
OFICIAL	Computational Biology

Instance: 2018/2019 - 2S

Active?	Yes
Responsible unit:	Department of Biology
Course/CS Responsible:	Master in Bioinformatics and Computational Biology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M:BBC	3	The study plan since 2018	2	-	30	20	810

Teaching language

Suitable for English-speaking students

Objectives

A master's degree Dissertation in Bioinformatics or Computational Biology should preferably consist of original research carried out by the student on a topic that might contribute to enhance knowledge in Bioinformatics or Biology Computational.

Learning outcomes and competences

Students should develop the ability to:

i) plan and perform research and / or development work; critical analysis of different technical solutions;
ii) integrate previously acquired knowledge for problem analysis and resolution;
iii) use research tools to evaluate the state of the art in the specific subject in which the dissertation / internship is carried out;
iv) ability to work as a team and to contribute positively to research and / or development work;
v) communicate in writing and oral the results and their conclusions.

In addition, students must meet the specific project objectives of the project in which they will be integrated.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Not apllicable.

Program

The syllabus contents will vary from student to student, according to the specific topic and work to be carried out within the scope of the Dissertation.

At the end of the 1st year, the Scientific Committee of the Cycle of Studies will meet with the students to present the work or research topics available for the Dissertation, respectively. These topics will be proposed and timely proposed by the Scientific Committee, by the guidance teams interested in hosting the students. After a period of reflection, the students, according to their use (weighted average of the 1st year Curricular Units), will be invited to choose, in order, the topic of Internship or Dissertation of their interest. In the case of students interested in developing a topic other than those proposed and who have the consent of an orientation team, the Scientific Committee should be consulted in advance for possible approval of this alternative proposal, for which it will carry out a case-by-case analysis.

Mandatory literature

Não aplicável.; Não aplicável.

Teaching methods and learning activities

Tutorial teaching. Students are generally exposed to a variety of research activities, which may include literature searches, experimental design, bench work, lab notebook management, instrument use and lab safety, as well as communication, organizational and presentation skills.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	100,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Elaboração de relatório/dissertação/tese	210,00
Trabalho de investigação	600,00
Total:	810,00

Eligibility for exams

Not applicable.

Calculation formula of final grade

The dissertation defence is done in a public presentation according to the Regulations applicable to all M.Sc. Degrees of U.Porto.

After the presentation and discussion of the dissertation the examination board attributes the final classification, which can be as follows:

• Not approved


• Approved, with attribution of a final mark, from 10 to 20, and indication on whether this classification has been given by majority or by unanimity.

It should be noted that for students who have carried out an Internship, the jury will also take into account the opinion timely reported by the supervisor(s) from the host company.

Examinations or Special Assignments

Not applicable.

Internship work/project

Not applicable.

Special assessment (TE, DA, ...)

Not applicable.

Classification improvement

Not applicable.

Observations

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