Course outcomes
CO1: To apply biostatistics and diagnostic study designs, including data types and sampling methods.
CO2: To understand probability, distributions, and hypothesis testing, including parametric and non-parametric tests.
CO3: To evaluate diagnostic test accuracy using sensitivity, specificity, and predictive values.
CO4: To interpret ROC curves, AUC, and optimize diagnostic test cut-off points.
CO5: To apply regression and predictive modeling techniques, including survival analysis in diagnostics.
CO6: To use statistical software for data analysis, case studies, and adhere to reporting standards.
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-PO Mapping Table:
| COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
| CO1 |
3 |
3 |
2 |
2 |
2 |
2 |
– |
– |
1 |
1 |
– |
3 |
| CO2 |
3 |
3 |
2 |
3 |
2 |
– |
– |
– |
– |
1 |
– |
3 |
| CO3 |
3 |
3 |
3 |
3 |
2 |
– |
– |
– |
– |
1 |
– |
3 |
| CO4 |
2 |
2 |
3 |
3 |
2 |
– |
– |
– |
– |
1 |
– |
2 |
| CO5 |
3 |
3 |
3 |
3 |
3 |
– |
– |
– |
– |
1 |
– |
3 |
| CO6 |
2 |
3 |
3 |
3 |
3 |
– |
– |
1 |
1 |
2 |
2 |
3 |
Program Specific Outcomes (PSO):
PSO1. Apply fundamental molecular biology principles to interpret clinical genomic data.
PSO2. Use molecular techniques (e.g., PCR, RT-PCR, sequencing) to detect genetic mutations and biomarkers.
PSO3. Analyze genotype-phenotype correlations in inherited and acquired disorders.
PSO4. Identify pathogenic variants from NGS data and interpret their clinical relevance.
PSO5. Correlate molecular pathways with disease mechanisms and therapeutic targets.
PSO6. Develop and validate diagnostic assays based on molecular biology principles.
PSO7. Utilize molecular biology to support pharmacogenomic profiling and therapy optimization.
PSO8. Integrate multi-omic data (genomic, transcriptomic, epigenomic) for personalized health solutions.
PSO9. Apply molecular knowledge to cancer genomics, infectious diseases, and rare genetic disorders.
PSO10. Translate molecular discoveries into clinical interventions through evidence-based practice.
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
CO-PSO Mapping Table:
| COs |
PSO1 |
PSO2 |
PSO3 |
PSO4 |
PSO5 |
PSO6 |
PSO7 |
PSO8 |
PSO9 |
PSO10 |
| CO1 |
2 |
2 |
2 |
1 |
– |
– |
– |
2 |
1 |
2 |
| CO2 |
2 |
2 |
3 |
– |
– |
– |
– |
– |
– |
2 |
| CO3 |
3 |
3 |
3 |
2 |
– |
– |
– |
– |
– |
3 |
| CO4 |
2 |
2 |
2 |
2 |
– |
– |
– |
– |
– |
2 |
| CO5 |
3 |
3 |
3 |
2 |
2 |
– |
2 |
2 |
– |
3 |
| CO6 |
2 |
3 |
3 |
2 |
– |
– |
– |
2 |
– |
3 |
