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Advanced Experimental Methodologies

Code 10098
Year 1
Semester S2
ECTS Credits 6
Workload OT(40H)
Scientific area Biochemistry
Entry requirements Not applicable.
Mode of delivery Face to face
Learning outcomes To carry out experimental activities in research laboratories to training techniques and to understand the concepts necessary for the application of experimental methods that will be used during the development of PhD thesis.
At the end of this course the student should be able to:
-Apply scientific knowledge and technical expertise to advanced laboratory techniques;
- Follow safety procedures and use laboratory equipment properly;
- Exhibit appropriate laboratory workplace behaviors, including teamwork and time management.
Syllabus The student must attend a set of laboratory courses involving the application of advanced experimental techniques, relevant to their projects, taught by experts.
Available Courses:
ADVANCED COURSE I – Fluorescence microscopy and image analysis; ADVANCED COURSE II – DNA vaccines: from conception to approval; Advanced Course III – Medical structural biology; ADVANCED COURSE IV – "Hands on NMR course for cell metabolic profiling"; ADVANCED COURSE V – Immunological techniques with applications in Biomedicine.
The student also may attend other advanced courses, which are considered relevant for the PhD project, at UBI or at another institution of higher education, since they have a considerable practical component. These courses shall be notified in advance and approved by the Scientific Course Board.
Main Bibliography Each experimental course will have specific references provided by the expert trainers.
Teaching Methodologies and Assessment Criteria The teaching of this UC will be student centered, whose active participation in the learning process will allow a greater development of their reasoning and self-assessment capacities. The teacher guides the students in the research of relevant information for the accomplishment of the experimental work that will be integrating the acquired concepts, both in the execution of techniques, as in data analysis, interpretation of results and problem solving.


Language Portuguese. Tutorial support is available in English.
Last updated on: 2024-03-09

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