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

  1. Introduce constrained optimization through an engaging activity
  2. Introduce linear optimization modeling
  3. 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
  4. Provide a teaser for the breadth of problem-types that can be tackled using optimization

License

SENTRY Security Modules for Classroom Use Copyright © by James Kupetz; Earl Lee; Karl Levy; Daphne Skipper; Melanie Brown; Catherine Buell; and Allison Marr. All Rights Reserved.

Share This Book