Lesson at a Glance | He Tirohanga Whakamua
Ngā Whāinga Ako | Learning Intentions
Students will know
- The 4-Step Optimisation Protocol:
1. Define variables & sketch diagram.
2. Formulate Objective & Constraint equations.
3. Express Objective in 1 variable .
4. Solve and verify with . - Common optimisation applications: Maximising enclosed area, volume of open/closed boxes, cylindrical cans, and minimising construction costs.
Students will demonstrate
- By solving 3 complete engineering optimisation problems from initial diagram to second-derivative verification.
- By completing Section 8 of their Level 3 Calculus Differentiation Portfolio.
Do Now | Tīmatanga Whakaaro (10 min)
Fencing Paddock Prompt:
"A farmer has of fencing wire to build a rectangular paddock along a straight riverbank (no fence needed along the river). What dimensions enclose the maximum possible area?"
Unpack: Constraint: . Objective: . Derivative: ! Maximum Area .
Optimisation Protocol & Box Volume Example (15 min)
Cut corners of size from card.
.
. At : , confirming a true local maximum volume ()!
📁 Calculus Differentiation Portfolio — Section 8: Optimisation Problems
Students open their Level 3 Calculus Portfolio and complete Section 8:
Section 8 Requirements:
1. Optimisation Protocol Flowchart: Draw the 4-step workflow from geometric diagram to verification.
2. Cylindrical Can Optimisation Solver: A closed tin can must hold volume (). Find radius and height that minimise surface area .
3. Extension: Optimal Cylinder Aspect Ratio: Prove mathematically that for ANY closed cylindrical can of fixed volume, minimum surface area occurs when height equals diameter ().
Exit Verification | Ka Mutu Hoki (5 min)
Exit Check:
"My Section 8 proves minimum tin can surface area occurs when h = 2r (r = 3.74 cm for 330 mL) using f''(r) > 0 verification."
Teacher Planning & NCEA Alignment
NCEA Level 3 Calculus Alignment (6 Credits External):
- Optimisation Applications: Formulate mathematical models for physical situations and apply differentiation to solve optimisation problems.
Vocabulary: Optimisation, objective function, constraint equation, stationary point (), second derivative test (), local maximum, local minimum.