Mathematics 5 curriculum guide 2015 I table of contents acknowledgements



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k12 curriculum guides mathematics math 5 2015

Essential 
Graduation 
Learnings
Aesthetic Expression
Citizenship
Communication
Personal Development
Problem Solving
Technological Competence
Graduates will be able to use a variety of technologies, demonstrate an 
understanding of technological applications, and apply appropriate 
technologies for solving problems.


MATHEMATICS 5 CURRICULUM GUIDE 2015
11
STRANDS
Spiritual and Moral 
Development
Graduates will be able to demonstrate an understanding and appreciation 
for the place of belief systems in shaping the development of moral values 
and ethical conduct.
See 
Foundations for the Atlantic Canada Mathematics Curriculum
, pages 
4-6.
The mathematics curriculum is designed to make a significant 
contribution towards students’ meeting each of the essential graduation 
learnings (EGLs), with the communication, problem-solving and 
technological competence EGLs relating particularly well to the 
mathematical processes.
Strands
The learning outcomes in the mathematics program are organized 
into four strands across the grades K–9. Some strands are subdivided 
into substrands. There is one general outcome per substrand across the 
grades K–9.
The strands and substrands, including the general outcome for each
follow.
Number
• Develop number sense.
Patterns
• Use patterns to describe the world and to solve problems.
Variables and Equations
• Represent algebraic expressions in multiple ways.
Measurement
• Use direct and indirect measurement to solve problems.
3-D Objects and 2-D Shapes
• Describe the characteristics of 3-D objects and 2-D shapes, and 
analyze the relationships among them.
Transformations
• Describe and analyze position and motion of objects and shapes.
Data Analysis
• Collect, display and analyze data to solve problems.
Chance and Uncertainty
• Use experimental or theoretical probabilities to represent and solve 
problems involving uncertainty.
• Number
• Patterns and Relations
Shape and Space
• Statistics and Probability

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