39201 - Laboratory Practice 2

Learning outcomes

At the end of the course, the student will have acquired the core competencies related to analytical processes, as outlined by the theoretical, didactic, and practices typical of laboratory and seminar-based activities.

Course contents

The course covers the following topics:

• Biomedical scientific research: research methodology, experimental design, and fundamental principles of statistics applied to laboratory science.
• Analysis and evaluation of laboratory data: data quality, accuracy, precision, reproducibility, sensitivity, specificity, and interpretation of analytical and diagnostic performance.
• Data management and analysis: use of computer-based tools (e.g., Microsoft Excel) for data organization, descriptive statistical analysis, graphical representation, and visualization of results.
• Critical interpretation of experimental results: analysis and discussion of data generated by laboratory techniques (PCR, real-time PCR, ELISA, spectrophotometry, and other relevant methodologies), interpretation of graphs and tables, statistical significance, and biological relevance.
• Literature searching and scientific communication: literature searching using PubMed, including search strategies and MeSH terms; critical appraisal of scientific sources; preparation of technical and scientific reports; and effective organization and presentation of research findings.

Teaching methods

Frontal lectures and computer lab exercises

Assessment methods

Eligibility assessment will be evaluated by a practical exercise.

Office hours

See the website of Carmen Ciavarella