Important notice
The course guide is provisional.
The PDF version of the course guide may take a few days to become available in the DDD.

Master's Degree Dissertation
Code: 42402Credits: 15
| Degree programme | Type | Course |
|---|---|---|
| Bioinformatics | TFE | 1 |
Contact lecturer
- Name :
- Marta Puig Font
- Email :
- marta.puig@uab.cat
Teaching staff
- Marta Coronado Zamora
- Leonardo Pardo Carrasco
- Miquel Àngel Senar Rosell
- Francisco José Rodriguez-Trelles Astruga
- Jean-Didier Pierre Marechal
- Angel Gonzalez Wong
- Jaime Martinez Urtaza
- Isaac Salazar Ciudad
- Laura Masgrau Fontanet
- Alex Peralvarez Marin
- Marta Puig Font
- Sònia Casillas Viladerrams
- Xavier Daura Ribera
- Antoni Barbadilla Prados
- Cinta Pegueroles Queralt
Group languages
You can consult this information at the end of the document.
Prerequisites
To study this module it is necessary to have passed previously the two mandatory modules (Programming in Bioinformatics and Core Bioinformatics) and one of the optative modules.
It is recommended you have a Level B2 of English or equivalent.
Objectives
The Master’s Thesis (MT) is an autonomous and individually research work that gives the student the opportunity to focus on some of the topics dealt with in the academic modules of the Master, as well as, to integrate all together the capacities and competences achieved along the Master’s degree.
The MT must show that the student is capable of carrying out sound and rigorous academic research. It should present an original argument that is carefully documented from primary and secondary sources. The student must do the work themselves with the guide of an advisor. The MT does not imply a practice internship nor the collaboration of the student in a research group or department. However, the work can be related to the project developed by the student during the External Practice Module.
Learning outcomes
- CA18 (Communicate orally and in writing, in technical English, the results obtained in the analyses carried out in the development of the Master's degree dissertation.) Communicate orally and in writing, in technical English, the results obtained in the analyses carried out in the development of the Master's degree dissertation.
- CA19 (Assess the results obtained during the development of the Master's degree dissertation critically, correcting technical or conceptual deficiencies and incorporating the identification of inequalities by sex and gender in the design of solutions and problem solving.) Assess the results obtained during the development of the Master's degree dissertation critically, correcting technical or conceptual deficiencies and incorporating the identification of inequalities by sex and gender in the design of solutions and problem solving.
- KA18 (Select the knowledge and resources necessary to develop autonomous research work or bioinformatics application.) Select the knowledge and resources necessary to develop autonomous research work or bioinformatics application.
- KA19 (Identify the principles of the scientific method to propose, develop and solve problems through grounded bioinformatics solutions.) Identify the principles of the scientific method to propose, develop and solve problems through grounded bioinformatics solutions.
- KA20 (Identify the valid and reliable sources of scientific information necessary to determine the state of a scientific question, and address their resolution by recognising the ethical problems that can be generated by the progress of knowledge.) Identify the valid and reliable sources of scientific information necessary to determine the state of a scientific question, and address their resolution by recognising the ethical problems that can be generated by the progress of knowledge.
- SA20 (Use operating systems, programs, bioinformatics tools and programming languages in the resolution of biological questions in the context of the development of the Master's degree dissertation.) Use operating systems, programs, bioinformatics tools and programming languages in the resolution of biological questions in the context of the development of the Master's degree dissertation.
- SA21 (Interpret the results obtained in the development of the Master's degree dissertation through the bioinformatic analysis of data derived from omics technologies.) Interpret the results obtained in the development of the Master's degree dissertation through the bioinformatic analysis of data derived from omics technologies.
- SA22 (Operate in an integrated manner with different bioinformatics databases, taking into account their main formats, structure and compatibility in the development of the Master's degree dissertation.) Operate in an integrated manner with different bioinformatics databases, taking into account their main formats, structure and compatibility in the development of the Master's degree dissertation.
Contents
There will be a workshop/lecture about how to write a Master's Thesis.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Regular meetings with the supervisor | 10 | 0.4 | CA18, CA19, KA18, KA19, KA20, SA20, SA21, SA22 |
| Elaboration of the Master Thesis document | 365 | 14.6 | CA18, CA19, KA18, KA19, KA20, SA20, SA21, SA22 |
The Master Thesis (MT) must show that the student is capable of carrying out sound and rigorous academic research. It should present an original argument that is carefully documented from primary and secondary sources. The students must do the work by themselves with the guide of an advisor.
The coordination the MT module appoints an academic tutor from the UAB to each student of the master, depending on the topic of their work.
The MT must be written under the guidance of an advisor (the academic tutor). The advisor has to be a PhD professor from a department or a research centre of the UAB. The academic tutor will supervise the student’s follow-up, providing general guidance, and helping the student to refine the objective of the work and to develop the argument of the thesis. Once the student has met the academic tutor, they will agree on a timetable for meetings and submission of drafts.
The Master’s Thesis Module is scheduled on the second term of the course and involves 375 hours of student work including the tutoring hours with the advisor. These tutoring hours will take place during several meetings, and at least 3 meetings are recommended (an initial meeting, a progress meeting and a final meeting).
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Oral presentation | 50% | 0 | 0 | CA18, CA19, KA18, KA19, KA20, SA20, SA21, SA22 |
| Master Thesis Document | 50% | 0 | 0 | CA18, CA19, KA18, KA19, KA20, SA20, SA21, SA22 |
To evaluate the Master Thesis (MT), the student has to deliver one printed copy of the work to the Master's Coordination and present orally the results to the Master Thesis Committee.
The final assessment will result of:
- The MT written document (50%)
- The oral exposition and defense of the MT (50%)
The MT document must not exceed 15,000 words, excluding appendices and bibliography. It must be written in English.
The MT Committee will consist of three PhD members and UAB professors. The MT defense will be in Englisht and it will include:
- The student’s turn: the student exposes their work during 15 minutes approximately.
- Question time: The three committee members ask questions during approximately 10 minutes to evaluate the exposed thesis.
Students will obtain the grade of "Not assessed" when the evaluated activities have a weight of less than 67% in the final grade.
Use of AI
For this subject, the use of Artificial Intelligence (AI) technologies is allowed exclusively in support tasks, such as bibliographic or information search, text correction or translations. The student must identify clearly which parts have been generated with this technology, specify the tools used, and include a critical reflection on how they have influenced the process and the final result of the activity. Non-transparency of the use of AI in this activity or its use for tasks where this is not allowed will be considered a lack of academic honesty and may result in a partial or total penalty in the grade of the activity, or greater penalties in serious cases.
The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless such use is expressly authorized in the teaching guide) that may lead to a significant variation in the grade, means that this act will be graded with a 0. If the teaching guide provides that, in order to pass the subject, it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same subject, the final grade will be 0. Apart from this, a disciplinary process may be initiated against the student who incurs in these irregularities.
Bibliography
Readings
- What is considered plagiarism:
- Editorial (2017) Responsible referencing Nature Methods 2017 14:209
Videos
Software
- Software for creating reference lists
- PowerPoint
- Prezi
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TFMm) Treball de fi de màster | 1 | Unknown | second semester | morning-mixed |