Sdde 318 👑 💎

Grades are posted on Canvas within one week of submission.

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“Resilience is not just about surviving a shock; it’s about thriving afterwards.” – Prof. Alvarez sdde 318

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| Question | Answer | |----------|--------| | | No, but you’ll receive a crash‑course in Week 1 and have lab support throughout the term. | | Can I take the course as a non‑engineering major? | Yes, the prerequisite is SDDE 101 or an equivalent intro to sustainability course. | | Is there a field trip? | A half‑day site visit to the Riverbend Floodplain Restoration Project (Week 12). | | How are group projects graded? | 70 % based on the final deliverable (report & presentation) and 30 % on peer‑evaluation of individual contributions. | | What accommodations are available? | Contact the Disability Services Office; we can arrange alternative formats for labs and assessments. |

Could you please provide a bit more context? For example: level) study

| Component | Weight | Description | |-----------|--------|-------------| | | 10 % | Weekly short checks to reinforce concepts | | Lab Reports (3) | 15 % | Data analysis, GIS mapping, LCA documentation | | Midterm Exam | 20 % | Closed‑book, problem‑solving & short‑answer | | Assignments (CBA, Policy Brief) | 15 % | Written deliverables with citations | | Integrated Design Project (IDP) | 30 % | Group report (12 pages), oral presentation (15 min), poster | | Participation & Peer Review | 10 % | Discussion contributions, feedback on classmates’ work |

| Week | Theme | Core Topics | Deliverables | |------|-------|-------------|--------------| | 1 | | Overview of SDGs & DRR; introduction to the risk triangle (hazard‑exposure‑vulnerability) | Syllabus quiz | | 2 | Hazard Identification | Climate extremes, seismicity, geotechnical hazards; data sources (USGS, NOAA, Copernicus) | Data‑sourcing worksheet | | 3 | Vulnerability Modelling | Social‑economic indicators, structural fragility curves, community resilience metrics | Mini‑report (1 page) | | 4 | Risk Quantification | Probabilistic risk assessment (PRA), Monte‑Carlo simulation, risk maps | Lab 1: GIS‑based risk map | | 5 | Sustainable Design Principles | Circular economy, low‑carbon materials, ecosystem services | Discussion board post | | 6 | Nature‑Based Solutions (NBS) | Wetland restoration, mangrove buffers, urban greening | Lab 2: NBS design sketch | | 7 | Infrastructure Resilience | Performance‑based design, redundancy, modular construction | Guest lecture (municipal planner) | | 8 | Midterm Review & Exam | Integrated case analysis | Midterm Exam | | 9 | Life‑Cycle Assessment (LCA) | Goal‑definition, inventory analysis, impact assessment, interpretation | Lab 3: LCA of a storm‑water system | | 10 | Economic Evaluation | Cost‑Benefit Analysis (CBA), discounting, multi‑criteria decision analysis (MCDA) | Assignment: CBA of a flood barrier | | 11 | Policy & Governance | International frameworks (Sendai, Paris Accord), local ordinances, stakeholder engagement | Policy brief (2 pages) | | 12 | Emerging Tech | Remote sensing, AI‑driven hazard forecasting, smart‑grid resilience | Demo: AI‑based flood prediction | | 13 | Integrated Design Project (IDP) Workshop | Group work: select a vulnerable community, develop a sustainable, resilient solution | Project proposal due | | 14 | Project Presentations | Oral presentation + poster session | Final Project (report + presentation) | | 15 | Course Wrap‑up | Lessons learned, future research directions, career pathways | Reflection essay |

| Role | Typical Employers | Key Skills Gained from SDDE 318 | |------|-------------------|---------------------------------| | | Municipal utilities, consulting firms (e.g., AECOM) | Hazard modelling, resilient design, stakeholder communication | | Sustainability Analyst | NGOs, UN agencies, corporate ESG teams | LCA, SDG alignment, policy brief writing | | Disaster Risk Manager | FEMA, Red Cross, World Bank | Risk assessment, CBA, emergency planning | | Urban Planner – Climate Adaptation | City planning departments | Integrated design, nature‑based solutions, GIS mapping | | Research Scientist (Climate‑Infrastructure) | Universities, national labs | Advanced modelling, AI‑driven forecasting, interdisciplinary collaboration |