Course outcomes
CO1: Principles, scope, and clinical relevance of liquid biopsy and key circulating biomarkers.
CO2: Demonstrate knowledge of sample collection techniques and address pre-analytical challenges in biomarker analysis.
CO3: Apply appropriate methods for isolation, quantification, and mutation analysis of circulating free DNA (cfDNA).
CO4: Describe the biology, isolation, and diagnostic use of circulating tumor cells (CTCs).
CO5: Analyze the role of extracellular vesicles in diagnostics and evaluate methods for their isolation and characterization.
CO6: Interpret analytical outputs and explore clinical integration and future innovations in liquid biopsy diagnostics.
Program outcome
PO1: Bioscience Knowledge
PO2: Problem Analysis
PO3: Design/Development of Solutions
PO4: Conduct Investigations of complex problems
PO5: Modern tools usage
PO6: Bioscientist and Society
PO7: Environment and Sustainability
PO8: Ethics
PO9: Individual & Team work
PO10: Communication
PO11: Project management & Finance
PO12: Lifelong learning
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
CO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
CO1 |
3 |
2 |
1 |
1 |
2 |
3 |
1 |
2 |
1 |
2 |
0 |
2 |
CO2 |
3 |
2 |
2 |
2 |
3 |
2 |
1 |
1 |
1 |
1 |
0 |
2 |
CO3 |
3 |
2 |
2 |
3 |
3 |
2 |
1 |
1 |
1 |
1 |
0 |
2 |
CO4 |
3 |
2 |
2 |
2 |
3 |
2 |
0 |
1 |
1 |
1 |
0 |
2 |
CO5 |
3 |
2 |
2 |
3 |
3 |
2 |
0 |
1 |
1 |
2 |
0 |
2 |
CO6 |
2 |
2 |
2 |
2 |
3 |
3 |
1 |
3 |
2 |
2 |
1 |
3 |
Program-specific outcome
PSO 1 – Emerging technologies in clinical diagnostics
PSO 2 – Biomolecules in Medicine
PSO 3 – Molecular dysregulation in diseases
PSO 4 – Molecular technology in diagnosis and therapy
PSO 5 – Applying lab discoveries to clinical practice
PSO 6 – Microorganisms in Medicine
PSO 7 – Statistical methods to interpret and validate diagnostic results
PSO 8 – Integrate molecular diagnostics into personalized medicine
PSO 9 – Compounds as biomarkers and its specificity
PSO 10 – Bioinformatics and biological data use
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
CO |
PSO1 |
PSO2 |
PSO3 |
PSO4 |
PSO5 |
PSO6 |
PSO7 |
PSO8 |
PSO9 |
PSO10 |
CO1 |
3 |
2 |
2 |
2 |
2 |
0 |
1 |
2 |
2 |
1 |
CO2 |
3 |
2 |
2 |
2 |
3 |
0 |
2 |
2 |
2 |
2 |
CO3 |
3 |
3 |
3 |
3 |
3 |
0 |
2 |
3 |
3 |
3 |
CO4 |
3 |
3 |
3 |
3 |
3 |
0 |
2 |
3 |
3 |
2 |
CO5 |
3 |
3 |
3 |
3 |
3 |
0 |
2 |
3 |
3 |
2 |
CO6 |
3 |
2 |
2 |
3 |
3 |
0 |
2 |
3 |
2 |
3 |