Title: The Human and Natural World
The topic of Networks and Paths will be introduced to students for the first time. In studying this unit, students will be guided through an exploration of human-based networks and networks found in nature. Within these explorations, students will learn to construct network diagrams (given maps, tables, images and worded descriptions) and analyse them to solve network problems (such as finding minimum spanning trees or shortest paths). In solving such network problems, students will learn a range of algorithms, as well as gain insights into how studying Networks and Paths can improve our understanding of the world around us.
See: Planning and Introduction for more details
N1.1 Networks
Students:
identify and use network terminology: vertices, edges, paths, the degree of a vertex, directed networks and weighted edges
Focus: introducing the key terminology and visual representation of networks: network diagrams, vertices, edges, degree (of a vertex); assessment introduced
N1.1 Networks
Students:
identify and use network terminology: vertices, edges, paths, the degree of a vertex, directed networks and weighted edges
solve problems involving network diagrams AAM
recognise circumstances in which networks could be used, e.g. the cost of connecting various locations on a university campus with computer cables
Focus: students drawing simple graphs and using network terminology to describe networks
N1.1 Networks
Students:
identify and use network terminology: vertices, edges, paths, the degree of a vertex, directed networks and weighted edges
solve problems involving network diagrams AAM
recognise circumstances in which networks could be used, e.g. the cost of connecting various locations on a university campus with computer cables
Focus: students drawing more complicated network diagrams, involving directed edges, from images and worded descriptions
N1.1 Networks
Students:
identify and use network terminology: vertices, edges, paths, the degree of a vertex, directed networks and weighted edges
solve problems involving network diagrams AAM
recognise circumstances in which networks could be used, e.g. the cost of connecting various locations on a university campus with computer cables
given a map, draw a network to represent the map, e.g. travel times for the stages of a planned journey
Focus: network diagrams with weighted edges (and different network representations: maps and tables)
N1.1 Networks
Students:
identify and use network terminology: vertices, edges, paths, the degree of a vertex, directed networks and weighted edges
solve problems involving network diagrams AAM
recognise circumstances in which networks could be used, e.g. the cost of connecting various locations on a university campus with computer cables
given a map, draw a network to represent the map, e.g. travel times for the stages of a planned journey
draw a network diagram to represent information given in a table
Focus: further network problems (involving different representations)
N1.1 Networks
Students:
identify and use network terminology: vertices, edges, paths, the degree of a vertex, directed networks and weighted edges
solve problems involving network diagrams AAM
recognise circumstances in which networks could be used, e.g. the cost of connecting various locations on a university campus with computer cables
given a map, draw a network to represent the map, e.g. travel times for the stages of a planned journey
Focus: further network problems (consolidation before starting trees)
N1.2: Shortest Paths
Students:
determine the minimum spanning tree of a given network with weighted edges AAM
determine the minimum spanning tree by using Kruskal's or Prim's algorithm or by inspection
determine the definition of a tree and a minimum spanning tree for a given network
Focus: introducing trees, spanning trees and minimum spanning trees (which can be found using Prim's Algorithm)
N1.2: Shortest Paths
Students:
determine the minimum spanning tree of a given network with weighted edges AAM
determine the minimum spanning tree by using Kruskal's or Prim's algorithm or by inspection
determine the definition of a tree and a minimum spanning tree for a given network
Focus: students find minimum spanning trees in networks using Kruskal's algorithm
N1.2: Shortest Paths
Students:
find a shortest path from one place to another in a network with no more than 10 vertices AAM
identify a shortest path on a network diagram
recognise a circumstance in which a shortest path is not necessarily the best path or contained in any minimum spanning tree
Focus: students find the shortest path between two vertices in a network diagram using method if inspection
N1.2: Shortest Paths
Students:
find a shortest path from one place to another in a network with no more than 10 vertices AAM
identify a shortest path on a network diagram
recognise a circumstance in which a shortest path is not necessarily the best path or contained in any minimum spanning tree
Focus: students find the shortest path between two vertices in a network diagram using Dijkstra's algorithm
See: Syllabus and Assessment
Focus: students present their research of a real-world network and their complete Trip Log (vocabulary)
Also see: Resources
Focus: supplementary lesson or activity ideas for teaching about networks and paths