MATH101-22S2 (C) Semester Two 2022

Methods of Mathematics

15 points

Details:
Start Date: Monday, 18 July 2022
End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 31 July 2022
  • Without academic penalty (including no fee refund): Sunday, 2 October 2022

Description

Introduction to calculus, trigonometry and algebra. Emphasis on setting up mathematical models of problems, solving them and interpreting the solutions. Applications to the physical, life and earth sciences as well as to commerce and the humanities.

MATH101 covers the basic ideas of functions and their graphs, trigonometry, limits, and calculus. We introduce the concept of a mathematical model and discuss setting up mathematical models to solve problems. Examples are drawn from the physical, life and earth sciences as well as commerce and the humanities. Skills are practised in lectures, weekly tutorial sessions, and using online learning software.

Emphasis is placed on understanding through examples, and you will use the methods taught to study a variety of practical problems. In the process your algebra and calculus skills will improve, and you will gain insight into the usefulness of these techniques. The course aims to build your confidence and foster your enjoyment of mathematics.

MATH101 is for students who need some knowledge of mathematics to support other studies such as the earth and life sciences, and for students who wish to prepare for EMTH118 or MATH102. The recommended background for this course is NCEA Level 2 Mathematics or equivalent.

Learning Outcomes

  • A student who successfully completes this course will:

  • understand the rules of exponents
  • be able to use basic algebra to simplify expressions and rearrange equations
  • be able to solve both linear and non-linear equations
  • understand the concept of a function, and recognise and use function notation and operations
  • be able to identify, graph and interpret polynomial, exponential, logarithmic and trigonometric relationships in both mathematical and real world contexts using appropriate applications
  • be able to find the derivative and integral of polynomial, exponential, logarithmic, and trigonometric functions, including the use of product, quotient and chain rules
  • understand the relationship between the processes of integration and differentiation
  • be able to identify when a derivative is an appropriate mathematical model, and use it to solve optimisation problems
  • be able to identify when an integral is an appropriate mathematical model, and to use it to solve appropriate real world problems
  • have the ability to express mathematics in written form to communicate mathematical ideas and solutions to problems

Restrictions

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 A2 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 12:00 - 13:00 A2 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture C
Activity Day Time Location Weeks
01 Wednesday 12:00 - 13:00 A2 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture D
Activity Day Time Location Weeks
01 Thursday 12:00 - 13:00 A2 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 08:00 - 10:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
02 Thursday 10:00 - 12:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
03 Thursday 14:00 - 16:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
04 Thursday 16:00 - 18:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
05 Friday 08:00 - 10:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
06 Friday 10:00 - 12:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
07 Friday 12:00 - 14:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
08 Friday 14:00 - 16:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
09 Friday 16:00 - 18:00 Jack Erskine 038 Lab 4
18 Jul - 28 Aug
12 Sep - 23 Oct
Workshop A
Activity Day Time Location Weeks
01 Thursday 08:00 - 09:00 Psychology - Sociology 307
18 Jul - 28 Aug
12 Sep - 23 Oct
02 Thursday 08:00 - 09:00 Psychology - Sociology 413
18 Jul - 28 Aug
12 Sep - 23 Oct
03 Thursday 09:00 - 10:00 Eng Core 129 Tutorial Room
18 Jul - 28 Aug
12 Sep - 23 Oct
04 Thursday 10:00 - 11:00 Rehua 530
18 Jul - 28 Aug
12 Sep - 23 Oct
05 Thursday 17:00 - 18:00 Psychology - Sociology 251
18 Jul - 28 Aug
12 Sep - 23 Oct
06 Friday 08:00 - 09:00 Psychology - Sociology 411
18 Jul - 28 Aug
12 Sep - 23 Oct
07 Friday 08:00 - 09:00 Psychology - Sociology 307
18 Jul - 28 Aug
12 Sep - 23 Oct
08 Friday 10:00 - 11:00 Psychology - Sociology 251
18 Jul - 28 Aug
12 Sep - 23 Oct
09 Friday 10:00 - 11:00 Psychology - Sociology 307
18 Jul - 28 Aug
12 Sep - 23 Oct
10 Friday 17:00 - 18:00 Eng Core 128 Tutorial Room
18 Jul - 28 Aug
12 Sep - 23 Oct

Course Coordinator / Lecturer

Rosie Cameron

Lecturers

Hilary Seddon and Clemency Montelle

Textbooks / Resources

Recommended Reading

Barton & Cox; Essential Maths and Stats for Higher Education ; Pearson, 2013.

Croft & Davison; Foundation Maths ; Any edition; Prentice-Hall.

Haeussler, Paul, and Wood; Introductory Mathematical Analysis ; Pearson, 2013.

NCEA Level 2 and 3 textbooks are also a useful reference.

Indicative Fees

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 .

All MATH101 Occurrences