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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, summarising and visualising 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 visualising 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 curvePerform calculations using factorials, permutation, & combinations. Calculate probabilities using Venn diagrams and tabulated datao apply the additive rule, complements, and the multiplicative rule for independent eventsInterpret the slope and intercept of a linear model between two variablesUse Excel to:o perform numerical calculations.o produce data visualisations 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
Students must attend one activity from each section.
Lab quizzesLab quizzes are online quizzes in Learn. These quizzes enable you to practice the skills covered in the course. The quizzes can be accessed from any computer with internet access. Tutors will be available in the timetabled computer labs to support your work on the lab quizzes.Each lab quiz can be attempted multiple times so that you can practice to master the material. There are 9 lab quizzes in total (for weeks 1-4, 6, 7-9, 11). The lab quizzes for weeks 1 and 2 are not assessed. The remaining 7 lab quizzes are assessed. Your best mark for each assessed lab quiz will count towards the course assessment provided that best mark meets or exceeds the mastery pass mark of 80%. A best assessed quiz mark of 100% will gain a 4 percentage point credit in the course assessment. A best assessed quiz mark of 80% will gain a 3.2 percentage point credit towards the course assessment. A best assessed quiz mark of less than 80% will gain no credit towards the course assessment. Each quiz has an expected completion time to help you to structure your workload for the semester. Quizzes will also be available after the expected completion time so that you can make further attempts and improve your best mark. Lab quiz Expected completionWeek 1 Quiz 11.59 pm, Wednesday 1 March (not assessed)Week 2 Quiz 11.59 pm, Wednesday 8 March (not assessed)Week 3 Quiz 11.59 pm, Wednesday 15 MarchWeek 4 Quiz 11.59 pm, Wednesday 22 March(no Lab Quiz for Week 5)Week 6 Quiz 11.59 pm, Wednesday 26 AprilWeek 7 Quiz 11.59 pm, Wednesday 3 MayWeek 8 Quiz 11.59 pm, Wednesday 10 MayWeek 9 Quiz 11.59 pm, Wednesday 17 May(no Lab Quiz for Week 10)Week 11 Quiz 11.59 pm, Wednesday 31 May(no Lab Quiz for Week 12)Your best mark achieved on each assessed quiz before the day of the final exam will be downloaded from Learn and used in the calculation of your final grade for the course. Please note that individual quizzes are worth less than 10% of the overall course assessment and are therefore not eligible for Special Consideration. Please contact the Course Coordinator if you experience problems in completing the assessed lab quizzes so that we can discuss the best options to support you. See Deadlines and Accessing Help below.
For general information that applies to all students studying courses offered by the School of Mathematics & Statistics see School of Mathematics and Statistics, General Information for Students. This includes information about the Special Considerations process. Note that Special Consideration is not available for individual assessment items worth less than 10% of the course assessment. For this course this means that Special Consideration is not available for assessed lab quizzes and assignments. Please see the information above about extensions for quizzes or assignments or contact the Course Coordinator before the specified assessment deadline if you will be unable to complete one of these assessments by the deadline.Please note the information above about Special Considerations and the final examination.
Domestic fee $824.00
International fee $4,750.00
* 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