1 Legos Optimization: Introduction
James Kupetz; Earl Lee; Allison Marr; and Daphne Skipper
Required materials
Each student will require 12 large Lego blocks (rectangular top with 8 connectors) and 18 small Lego blocks (square top with 4 connectors).
Audience
This module is designed with Linear Algebra students in mind. However, the module may be adapted to students with exposure to linear systems in the context of a College Algebra course by restricting the focus to problems with two variables.
Required knowledge
- Linear equations describe lines, planes, or hyperplanes (depending on the dimension
- Linear inequalities describe half-spaces bounded by lines, planes, or hyperplanes (depending on the dimension)
- Linear independence of equations
- The solution to a system of n linearly independent equations defines the point of intersection of the lines/planes/hyperplanes described by the equations
Objectives
- Introduce constrained optimization through an engaging activity
- Introduce linear optimization modeling
- Introduce a geometric algorithm for solving a bounded linear optimization model that (i) reinforces concepts from linear algebra, and (ii) introduces concepts that are fundamental to the study of optimization
- Provide a teaser for the breadth of problem-types that can be tackled using optimization