Design a semester-long undergraduate module or a small-scale research project in your subject area for pineer academics. Outline learning or research objectives, key assessments or deliverables, one representative assignment or experiment, and how you would evaluate success.

Course: Applied Data Science for Social Impact — 12 weeks, target cohort 20–30 undergrads, groups of 3–4. Objectives: (1) build reproducible data pipelines, (2) design and evaluate an evidence-based intervention analysis, (3) communicate findings to nontechnical stakeholders. Assessments: weekly labs 20%, midterm mini-project 25%, final group capstone 40%, participation & peer review 15%. Representative assignment: a two-week lab where students clean a 50k-row survey, pre-register two hypotheses, produce a reproducible Jupyter notebook, and submit a 3-minute explainer video. Success metrics: pre/post concept test targeting a 25% average improvement, rubric-based grading with 80% of students scoring ≥80% on the capstone, and student feedback NPS ≥30. I’d use iterative design reviews, automated reproducibility tests, and structured peer feedback to hit those targets.