SILO 5.3 (DRAFT)

Year 5, Term 3: Logistics

Focus: Logistics Scope and sequence: Logistics, Analytics, Affordances

Learning intention: Students design their own enterprises and explore how the associated logistics and data can be represented in different ways.

Overview: This unit builds on prior knowledge from SILO 1.1 'Graphs' but also has some overlap with design. The main focus is engaging each child to design their own enterprise where they use mathematics and design principles to identify logistical issues. For example, a music festival would involve ticket sales and other elements relating to event management. An online jewelry store would involve a web presence. Both would benefit from a budget created as an Excel spreadsheet. 
  • Science might not factor into this unit which is a timely reminder that STEM can be two, three, or all four discipline areas.
  • Group work can be used for this unit if each member has clearly defined roles.
NSW Syllabus
Australian Curriculum (version 9.0)
"A student collects discrete data and constructs graphs using a given scale." (MA2-DATA-01)
"A student interprets data in tables, dot plots and column graphs." (MA2-DATA-02)
"Students learn to recognise different types of data and explore how the same data can be represented differently depending on the purpose." (AC9TDI4K03)


Introduction to the topic

Logistics involves supply chain management and deals with the flow of goods and services. A major consideration here is efficiency as shown in this short video (0:51) titled, What is Logistics? The Basics.


Creating budgets in Excel (or Google sheets)


Affordances

The word 'affordances' was first used by Gibson in 1966 but more clearly expounded in his writing from 1979 as follows:

The affordances of the environment are what it offers the animal, what it provides or furnishes, either for good or ill. The verb to afford is found in the dictionary, the noun affordance is not. I have made it up. I mean by it something that refers to both the environment and the animal in a way that no existing term does. It implies the complementarity of the animal and the environment (p. 127).

Affordances are the inherent properties of an object, either virtual or tangible. For example, ropes are good for binding and pulling but not for pushing.


Types of data

Descriptive data

Predictive data

Prescriptive data

 

Data analytics

The following video (3:16) about data analytics further explains descriptive data, predictive data, and prescriptive data and how they related to decision making.



Moderated self-assessment


 

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