Proteomics

Upon completion of the course, students are expected to:
· Understand the fundamental principles of proteomics and selected aspects of metabolomics, with a focus on key technologies such as mass spectrometry, including various instrument types and quantitative proteomics techniques.
· Gain the analytical tools required to assess the strengths and limitations of different experimental approaches, considering factors such as manual workload, cost, sensitivity, and scalability.
· Critically evaluate the entire proteomics workflow, from sample preparation through spectral acquisition to data analysis and biological interpretation.
· Perform basic raw data processing, including conversion to standard formats, quality control, protein identification using search engines, and initial interpretation of MS/MS spectra for peptide sequence reconstruction.
· Recognize the main applications of proteomics and metabolomics in biomedical and biological research.
· Acquire a foundational understanding of statistical methods applicable to the analysis of quantitative omics data.

Student learning outcomes will be evaluated through an oral examination conducted by the course instructor. The assessment will focus on the student's understanding of the proteomic and metabolomic methodologies covered in the syllabus, as well as their ability to apply these approaches appropriately.
The oral exam is designed to assess not only the theoretical knowledge and comprehension of key analytical techniques and data interpretation strategies but also the practical skills acquired during the course. Particular attention will be given to the clarity and accuracy of the language used, as well as the student's ability to critically select, justify, and integrate different methodologies to address diverse scientific questions.