MATH110-23S1 (C) Semester One 2023

Foundations of Applied Mathematics

15 points

Details:
Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023

Description

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.

Learning Outcomes

  • Students who pass this course will be able to:
  • Use equations and formulae that describe various physical phenomena encountered in science and engineering
    o use basic algebra to simplify expressions and rearrange equations
    o use the rules of exponents
    o solve linear equations and non-linear equations
    o interpret and solve inequalities
    o model linear and quadratic relationships
    o graph and interpret linear, quadratic, exponential and logarithmic models
    o apply equations used to calculate the area and volume of physical objects
    o apply trigonometry to simple geometric calculations
    o 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 curve
  • Perform calculations using factorials, permutation, & combinations.  
  • Calculate probabilities using Venn diagrams and tabulated data
    o apply the additive rule, complements, and the multiplicative rule for independent events
  • Interpret the slope and intercept of a linear model between two variables
  • Use Excel to:
    o perform numerical calculations.
    o produce data visualisations including bar and pie charts, line charts and scatter plots
    o 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.
    • University Graduate Attributes

      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.

Restrictions

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 15:00 - 16:00 - 20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 Jack Erskine 031 Lecture Theatre 20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture C
Activity Day Time Location Weeks
01 Wednesday 09:00 - 10:00 E16 Lecture Theatre 20 Feb - 2 Apr
24 Apr - 4 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 10:00 - 11:00 Jack Erskine 035 Lab 2 20 Feb - 2 Apr
24 Apr - 4 Jun
02 Thursday 15:00 - 16:00 Jack Erskine 035 Lab 2 20 Feb - 2 Apr
24 Apr - 4 Jun
03 Thursday 09:00 - 10:00 Jack Erskine 035 Lab 2 20 Feb - 2 Apr
24 Apr - 4 Jun
Computer Lab B
Activity Day Time Location Weeks
01 Friday 09:00 - 10:00 Jack Erskine 035 Lab 2 20 Feb - 2 Apr
24 Apr - 4 Jun
02 Friday 10:00 - 11:00 Jack Erskine 035 Lab 2 20 Feb - 2 Apr
24 Apr - 4 Jun
03 Friday 11:00 - 12:00 Jack Erskine 035 Lab 2 20 Feb - 2 Apr
24 Apr - 4 Jun

Course Coordinator

Jenny Harlow

Lecturer

Cameron Bell

Assessment

Assessment Due Date Percentage  Description
Lab Quizzes 28% (7 @ 4% each)
Assignments 18% (2 @ 9% each)
Final Examination 54% To obtain a passing grade in this course you must obtain at least 50% in the course assessment overall and at least 50% in the final examination.

Indicative Fees

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 .

All MATH110 Occurrences

  • MATH110-23S1 (C) Semester One 2023