CO-PO Definition & Mapping
Define Course and Program Outcomes, build the mapping matrix, track attainment automatically, and get AI-powered insights that drive OBE excellence.
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | |
|---|---|---|---|---|---|---|---|---|
| CO1 | 3 | 2 | 1 | – | 2 | – | 1 | 2 |
| CO2 | 2 | 3 | 3 | 1 | – | 1 | 2 | – |
| CO3 | 1 | 2 | 3 | 3 | 1 | – | – | 1 |
| CO4 | – | 1 | 2 | 3 | 3 | 2 | 1 | – |
| CO5 | 2 | – | 1 | 2 | 3 | 3 | 2 | 1 |
AI: PO4 coverage is low in CO1 — consider adding assessment activities targeting systems design thinking.
100%
OBE Compliance
from day one of deployment
AI
Gap Analysis Engine
identifies weak mappings
Auto
Attainment Calculation
from assessment data
2h
NBA Report Generation
vs 2 weeks manually
OBE compliance that runs automatically
Outcome-Based Education is no longer optional — NAAC and NBA mandate it. But implementing OBE correctly requires meticulous CO/PO definition, mapping, and attainment tracking that institutions often struggle to maintain manually.
MuHexa's CO-PO Definition & Mapping module makes OBE automatic. From defining Course Outcomes at the subject level to computing PO attainment at program level — every step is driven by data already in your ERP.
The AI insight engine goes further — analyzing your CO-PO matrix and attainment trends to surface gaps, suggest improvements, and forecast whether each outcome will be met before assessments are finalized.
Complete OBE implementation, automated
From CO definition to AI-powered attainment insights — every OBE workflow is handled intelligently.
CO Definition
Define measurable Course Outcomes per subject, aligned to Bloom's taxonomy levels and program objectives.
PO / PSO Definition
Configure Program Outcomes and Program-Specific Outcomes aligned to NAAC and NBA frameworks.
Bloom's Taxonomy Mapping
Tag every CO with a Bloom's taxonomy cognitive level for structured OBE framework compliance.
CO-PO Mapping Matrix
Build a visual strength-based mapping matrix linking every CO to relevant POs and PSOs.
Attainment Tracking
Automatically calculate direct and indirect CO attainment from assessment and survey data.
AI-Powered Insights
AIGet AI-generated gap analysis, improvement suggestions, and attainment forecasts per course.
Define outcomes that are measurable, aligned, and accreditation-ready
Write Course Outcomes per subject with structured guidance — Bloom's taxonomy integration ensures every CO is at the right cognitive level for OBE compliance. POs and PSOs are pre-loaded from NAAC and NBA templates.
- Define 3–8 COs per subject with Bloom's taxonomy level tagging
- Pre-loaded PO templates for engineering, management, and science programs
- Add PSOs specific to each program's graduate attributes
- AI suggests CO wording improvements for measurability and alignment
Understand fundamental AI concepts and intelligent agent architectures
Apply search algorithms to solve complex problem instances
Analyze knowledge representation structures and reasoning systems
Evaluate ML models using appropriate metrics and datasets
Design AI solutions for real-world engineering problems
Track CO attainment automatically from your assessment data
CO attainment is calculated automatically using direct attainment (exam scores, assignments) and indirect attainment (student surveys, exit surveys) — weighted as per your institution's OBE policy.
- Direct attainment from internal assessments, ESE, and practical scores
- Indirect attainment from course-end and exit surveys
- Configurable direct:indirect attainment weightage ratio
- Track attainment trends across semesters and batches
74%
Direct Attainment
82%
Indirect Attainment
76%
Final Attainment
AI that identifies gaps and forecasts attainment outcomes
MuHexa's AI engine continuously analyses your CO-PO mapping matrix and attainment data to surface gaps before they become accreditation issues — with specific, actionable recommendations for each finding.
- Identify under-mapped POs and suggest additional CO coverage
- Flag courses at risk of missing attainment thresholds early
- Forecast end-of-semester attainment based on current trends
- Auto-generate NBA Criterion 3 evidence with one click
CO3 is mapped to PO4 (High) but attainment is only 71% — below 60% is rare, but upward trend needed.
Add 2 assessments targeting systems analysis
CO1 & CO2 show consistent attainment above 80% over 3 semesters — best practice to replicate.
Document pedagogy for faculty sharing
At current pace, CO5 is projected to reach 72% by end of Sem VII — will exceed threshold.
No action needed, continue monitoring
Criterion 3 — CO-PO mapping is 94% complete. 2 POs (PO11, PO12) need additional CO coverage.
Review CS601, CS701 syllabus for alignment
OBE excellence, delivered by AI
Engineered to deliver complete OBE compliance from the first semester — and maintain it effortlessly with AI-driven monitoring.
90%
Faster OBE compliance
100%
Accreditation ready
AI
Gap analysis engine
Live
Attainment tracking
AI-Powered OBE Intelligence Unique to MuHexa
Unlike static CO-PO tools, MuHexa's AI engine continuously monitors your OBE implementation — identifying gaps in mapping coverage, forecasting attainment outcomes, and surfacing accreditation risks before they impact your audit. It's the difference between reactive compliance and proactive OBE excellence.
What you gain with CO-PO Definition & Mapping
Achieve OBE compliance from the first day of semester
Auto-calculate CO and PO attainment from existing assessment data
Get AI alerts on at-risk courses before assessments close
Generate complete NBA Criterion 3 evidence in hours
Track attainment trends across batches and semesters
Eliminate manual mapping matrices in Excel permanently
CO-PO data connects across the entire ERP
Assessment data from every module feeds into CO-PO calculations automatically — no manual data entry required.
AI-Powered Module
CO-PO Mapping
Admissions
PO attainment data informs program-level outcomes for incoming student cohort planning.
Examination
Assessment scores feed directly into CO attainment calculations for every subject.
LMS
Course outcome data surfaces in LMS to guide learning objective alignment for faculty.
Analytics
CO-PO attainment data powers OBE dashboards and NBA/NAAC report generation.
Assessment and survey data feeds into CO-PO attainment calculations automatically