Level 3 Mathematics for Industries
Course Description
This course is designed to strengthen the skills necessary to apply these mathematical methods to real-world situations, enhancing their problem-solving and decision-making abilities.
This course focuses on key topics such as bivariate data analysis, simultaneous equations, linear programming, and critical path analysis.
Recommended Prior Learning
Students have at least 10 Level 2 credits
Contributions and Equipment/Stationery (Approximate)
To be advised
Assessment Information
This course has 16 credits with all 5 internal Achievement standards. This is a UE-approved course.Credit Information
You will be assessed in this course through all or a selection of the standards listed below.
External
NZQA Info
Mathematics and Statistics 3.2 - Apply linear programming methods in solving problems
NZQA Info
Mathematics and Statistics 3.4 - Use critical path analysis in solving problems
NZQA Info
Mathematics and Statistics 3.9 - Investigate bivariate measurement data
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Mathematics and Statistics 3.11 - Conduct an experiment to investigate a situation using experimental design principles
NZQA Info
Mathematics and Statistics 3.15 - Apply systems of simultaneous equations in solving problems
Approved subject for University Entrance
Number of credits that can be used for overall endorsement: 16
Only students engaged in learning and achievement derived from Te Marautanga o Aotearoa are eligible to be awarded these subjects as part of the requirement for 14 credits in each of three subjects.