Grade 11 · Advanced Human Systems Mastery
Does the solution work when data is messy and constraints are real? Grade 11 focuses on credibility, validation, and cross-disciplinary collaboration. Students deepen their specific mastery while learning to speak the shared language of other experts.
Shared Commitments
Regardless of pathway, all Grade 11 students must validate solutions against external benchmarks.
Work on complex, real-world SDG challenges with incomplete data.
Students accept ambiguity and make defensible choices despite missing information.
Validate solutions using external benchmarks and constraints.
Success is defined by real-world standards, not just classroom rubrics.
Collaborate across pathways using shared system language.
Experts must talk to other experts. Biomedical, Engineering, and Comp Sci students must align.
Document failures, revisions, and tradeoffs transparently.
Students analyze why a solution failed and use that data to improve the next iteration.
Produce artifacts suitable for industry, research, or policy review.
Work is polished, technical, and ready for scrutiny by professionals.
What Grade 11 adds to the system: Credibility. Validation replaces assumption. Failure becomes an instructional tool, and collaboration mirrors professional environments.
Advanced Mastery Standards
Core standards apply to everyone. Pathway standards deepen specific expertise.
Cross-Pathway Core
HSX1-HSX4
11-HSX1
Advanced System Modeling
AllRobustnessIntegration
- 11-HSX1.1 Students integrate biological, physical, and computational models.
- 11-HSX1.2 Students evaluate model sensitivity and robustness.
- 11-HSX1.3 Students revise models based on failure modes and new evidence.
11-HSX2
Data Integrity and Validation
AllQualityBias
- 11-HSX2.1 Students assess data quality, bias, and uncertainty across sources.
- 11-HSX2.2 Students validate conclusions using triangulation and replication.
- 11-HSX2.3 Students document assumptions and limitations explicitly.
11-HSX3
Decision-Making Under Constraint
AllJustificationLong-term
- 11-HSX3.1 Students evaluate competing solutions under technical, ethical, and economic constraints.
- 11-HSX3.2 Students justify decisions using multi-criteria analysis.
- 11-HSX3.3 Students analyze long-term and second-order effects.
11-HSX4
Professional Communication
AllDefenseCritique
- 11-HSX4.1 Students communicate technical work to expert and non-expert audiences.
- 11-HSX4.2 Students defend design choices under critique.
- 11-HSX4.3 Students revise work based on feedback.
Pathway A: Biomedical II
BM1-BM4
11-BM1
Complex Biological Systems
HealthFragility
- 11-BM1.1 Students analyze interacting biological systems across scales.
- 11-BM1.2 Students evaluate system fragility and compensatory mechanisms.
11-BM2
Advanced Environmental Health
HealthRisk
- 11-BM2.1 Students evaluate chronic exposure and cumulative risk.
- 11-BM2.2 Students analyze health disparities and access issues.
11-BM3
Healthcare Systems and Policy
PolicyCapacity
- 11-BM3.1 Students evaluate healthcare delivery under resource constraints.
- 11-BM3.2 Students analyze policy impacts on health outcomes.
11-BM4
Biomedical Validation Study
ValidationData
- 11-BM4.1 Students conduct validation studies of biomedical interventions.
- 11-BM4.2 Students refine solutions based on outcome data.
Pathway B: Engineering II
EN1-EN4
11-EN1
Complex Engineered Networks
InfraResilience
- 11-EN1.1 Students analyze multi-layer infrastructure systems.
- 11-EN1.2 Students evaluate cascading failures and resilience strategies.
11-EN2
Advanced Energy Optimization
EnergyCost
- 11-EN2.1 Students optimize systems under competing efficiency, cost, and sustainability constraints.
11-EN3
Civic and Environmental Engineering
CommunitiesBalance
- 11-EN3.1 Students evaluate infrastructure impacts on ecosystems and communities.
- 11-EN3.2 Students design solutions that balance performance and stewardship.
11-EN4
Engineering Validation Project
PrototypeTesting
- 11-EN4.1 Students validate engineered solutions against performance standards.
Pathway C: Computational II
CS1-CS4
11-CS1
Advanced Data Systems
EthicsBias
- 11-CS1.1 Students integrate heterogeneous datasets.
- 11-CS1.2 Students evaluate algorithmic bias and data ethics.
11-CS2
Complex System Simulation
NonlinearEmergence
- 11-CS2.1 Students build simulations of nonlinear systems.
- 11-CS2.2 Students analyze emergent behavior.
11-CS3
Optimization and Decision Algorithms
DecisionsCode
- 11-CS3.1 Students implement algorithms that support complex decisions.
- 11-CS3.2 Students evaluate algorithm performance and unintended consequences.
11-CS4
Computational Validation Project
BenchmarkingAccuracy
- 11-CS4.1 Students validate computational tools against real-world data.
Collaborative Capstone Challenge
Students from all three pathways collaborate on a shared SDG problem, simulating a professional task force.
Biomedical Team
Address health and biological dimensions.
Engineering Team
Address physical systems and infrastructure.
Computational Team
Address data, modeling, and automation.
Requirement: Teams must integrate solutions into a single coherent system, justify decisions, and present to an external audience.