| Code |
15845
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| Year |
1
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
TP(60H)
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| Scientific area |
Biotecnologia
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Entry requirements |
Not aplicable.
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Learning outcomes |
This course is intended to make a first approach to the study of different tools for problem solving in science and technology. Special emphasis
will be given to the following topics:
- Methodology and aspects of scientific work;
- Sources of information in science;
- Practical skills in basic laboratory techniques;
- Computational tools.
Students are also expected to make contact with up-to-date topics in different areas of biotechnology. Recent developments, their applications,
societal and economic impacts, and moral and ethical implications will be highlighted.
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Syllabus |
- History and development of biotechnology, its importance and applications.
- Ethical issues in Biotechnology.
- Methodology and aspects of scientific work: Organization. Rules for the preparation of reports and scientific articles. Peer review process.
Analysis of articles.
- Sources of information in science: Databases. Other resources. Search strategies. Evaluation and use of information (citation styles / references,
Mendeley).
- Laboratory Issues: Chemical and biological laboratory safety. Emergency procedures. General rules for weighing and volume measurement.
Significant figures and error propagation.
- Computational tools: Introduction to programming: variables, assignments, types, arithmetic and relational operators. Vectors and matrices.
Programs and subroutines. Selection Instructions. Cycles and vectorization. String manipulation. Data structures. Files Graphics creation. Use of
biological databases.
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Main Bibliography |
- Bases de dados.
- Artigos científicos selecionados.
- Mendeley (https://www.mendeley.com).
- Ceia, C. (2003). Normas para apresentação de trabalhos científicos. 4ª edição, Editorial Presença. Lisboa.
- Frada, J.J.C. (2001). Guia prático para a elaboração e apresentação de trabalhos científicos. 11ª edição, Edições Cosmos. Lisboa.
- Gries, P., Campbell, J., & Montojo, J. (2017). Practical programming: an introduction to computer science using Python 3.6. Pragmatic Bookshelf.
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Teaching Methodologies and Assessment Criteria |
The final grade of the UC will be 50% theoretical grade obtained in attendance or exam + 50% seminar.
Theoretical assessment:
The evaluation will be carried out through a final test, where it will be necessary to obtain a minimum grade of 9.5 values for approval. In this test:
25% - General rules for weighing and measuring volumes. Safety in the Chemistry Laboratory.
35% - Computer tools.
40% - Sources of information in science. Methodology and aspects of scientific work. Laboratory Questions: Significant figures and error propagation; Graph construction.
The different components of the test can be evaluated at other times in the semester to be indicated.
Seminar evaluation
The seminar will be evaluated through the written and oral presentation and discussion of two topics (see detailed description).
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Language |
Portuguese. Tutorial support is available in English.
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