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Introduction to trigonometry and algebra. Emphasis on solving problems relevant to design, physical, life and earth sciences as well as to commerce and the humanities. An introduction to the ideas, techniques and applications of statistics and probability.
This course provides a foundation of mathematics and practical techniques for using, summarizing and visualizing data from a user’s point of view. The emphasis is on sensible and correct use or interpretation of mathematical and data analysis tools in real-life problems. The course assumes elementary levels of competence in mathematics. Microsoft Excel™ will be used as a tool within the course.The emphasis of this course is on applying the methods covered in the course to problems, selecting sensible techniques, following the methodology and interpreting the results. Practical Excel skills are taught as a tool for performing calculations and for analysing and visualizing data. Applications to commerce, the social sciences, humanities, science and engineering are considered.
Students who pass this course will be able to:Use equations and formulae that describe various physical phenomena encountered in science and engineeringo use basic algebra to simplify expressions and rearrange equationso use the rules of exponentso solve linear equations and non-linear equationso interpret and solve inequalitieso model linear and quadratic relationshipso graph and interpret linear, quadratic, exponential and logarithmic modelso apply equations used to calculate the area and volume of physical objectso apply trigonometry to simple geometric calculationso interpret the slope and area under a curve in an applied context (such as acceleration, velocity, displacement)o calculate an approximation to the area under a curveCalculate probabilities using Venn diagrams and tabulated datao apply the additive rule, complements, and the multiplicative rule for independent eventsPerform calculations using factorials, permutation, & combinations. Interpret the slope and intercept of a linear model between two variablesUse Excel to:o perform numerical calculations.o produce data visualizations including bar and pie charts, line charts and scatter plotso perform data analysis including data summaries (descriptive statistics), and two-way table analyses using Pivot Tables.o fit a linear model to bivariate data using simple linear regression.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
EMTH118, MATH101, MATH102, MATH199, STAT101
Lab quizzes (6 @ 5% each) 30%Assignments (2 @ 8% each) 16%Final Examination 54%To obtain a passing grade in this course you must obtain at least 50% overall and at least 50% in each part of the final examination (mathematics and statistics).
Barton, David , Cox, David;
Essential maths and stats : for higher education
Lock, Robin H. et al;
Statistics : unlocking the power of data
General information for students
Domestic fee $802.00
International fee $4,563.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Mathematics and Statistics