A look at two courses I've built from the ground up: designing curriculum, materials, and assessments to fit the learners actually in the room.
Upper-level undergraduate and graduate mathematics students making the transition from computational to proof-based mathematics — a shift that trips students up on reasoning style far more often than on content difficulty.
I deliberately separated practice from assessment: homework stays low-stakes and ungraded so students engage with hard problems without fear of penalty, while quizzes and exams measure what actually stuck. The two lowest quiz grades are dropped to absorb the normal bumps of learning a new reasoning style without distorting the signal on mastery.
Business undergraduates with limited math backgrounds, taking a required course covering functions, matrices, linear programming, probability, and finance applications — material that only matters to most of these students once it's tied to a real business decision.
Because most students in this course won't go on to take more math, I prioritized material that ties directly to business decisions — cost/revenue/profit modeling, optimization, and compound interest — over abstract treatment of the same topics, while keeping the course's core learning outcomes intact.