Academic programme design · Pedagogy · QF
Project Shoshin
Replace slide-heavy quant teaching with a sequence that forces students to derive objects before touching code or data.
Context
Graduate cohorts were strong on tools but weak on mechanism: they could run regressions yet struggled to explain why a spread exists or how execution alters P&L.
Approach
- Map prerequisites to a small set of canonical derivations (random walk to diffusion intuition, discrete hedging to Black–Scholes PDE sketch, etc.).
- Design question banks that reveal gaps without humiliation; pair with short coding labs only after the algebra lands.
- Train TAs on common misconceptions documented from prior terms.
Outcomes
- Reusable module outlines and assessment rubrics.
- Higher qualitative signal in oral exams on microstructure and options.
Tools & stack
LaTeX · Jupyter · MAHE LMS