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Study undergraduate certificate online through Open Universities Australia. Explore all degrees, subjects and short courses now.

Mathematical Methods for Engineers 2

Mathematical Methods for Engineers 1

Essential Mathematics 2: Calculus

Calculus

Statistics

Essential Mathematics 1: Algebra and Trigonometry

Applied Mathematics Foundation

Mathematics 1B

Introduction to Quantitative Skills

Introduction to University Mathematics

This for-credit subject is a preparatory mathematics subject intended for students who have not completed secondary school mathematics and who have insufficient background for the more advanced mathematics required for success in MAS162, MAS182 and MAS161. The topics covered include algebra; polynomials, exponential and logarithmic functions and their graphs; matrices; basic concepts of differential and integral calculus and applications.Please Note: All students studying at Murdoch University will need to complete the compulsory unit, Murdoch Academic Passport (MAP100), which only takes 2-3 hours to complete online. Find out more: <a href="http://goto.murdoch.edu.au/MurdochAcademicPassport" target="_blank">http://goto.murdoch.edu.au/MurdochAcademicPassport</a>.

Get up to speed with the base level of maths you’ll need for coding. Build or refresh your working knowledge of maths, covering algebra, trigonometry, derivatives, and more. You’ll be able to solve mathematical problems and progress to advanced courses.

Fundamentals of Mathematics

This subject was previously known as Applied Mathematics.This subject provides an introduction to differential and integral calculus, and basic ordinary differential equations. The concepts and techniques will be motivated and illustrated using mathematical models in engineering, the physical and biological sciences, commerce, economics, and the social sciences. Other topics include complex numbers and their applications.You are strongly advised NOT to enrol in MAS182 and MAS164 at the same time. In order to successfully complete MAS182, you will require the knowledge gained from the successful completion of MAS164.Murdoch University advises that students who do not successfully complete MAS164 before attempting MAS182 usually fail MAS182.Students who did not study mathematics at school, did not receive good marks, or have not studied mathematics in a long time should enrol in MAS164 before attempting MAS182. All enrolled students may access Murdoch&#39;s <a href="https://goto.murdoch.edu.au/MathsRefresher" target="_blank">Maths Refresher Program</a>. You are advised to review the worksheets in this program before beginning MAS182.Please Note: If you have not completed MAS164 but can show that you have a good background in the subject, you can apply to have this requirement waived via a Unit Validation Request. <a href="https://askmurdoch.custhelp.com/app/askmurdoch/answers/detail/a_id/3276" target="_blank">https://askmurdoch.custhelp.com/app/askmurdoch/answers/detail/a_id/3276</a>Some equivalent pre-requisites to MAS164 are: Year 11 Introduction to Calculus, along with a final scaled score of 55% or more in TEE Applicable Mathematics, OR a final scaled score of 55% or more in ATAR Mathematics Methods or WACE Mathematics (3C/3D).Please Note: All students studying at Murdoch University will need to complete the compulsory unit, Murdoch Academic Passport (MAP100), which only takes 2-3 hours to complete online. Find out more: <a href="http://goto.murdoch.edu.au/MurdochAcademicPassport" target="_blank">http://goto.murdoch.edu.au/MurdochAcademicPassport</a>.

Learn how to use maths methods to solve problems in science and technology. Topics include the derivative, complex numbers, and the trigonometric functions. Gain confidence applying maths to engineering, science and economics. 

Introductory Calculus with Applications

Calculus concerns the rate of change of a function with respect to its variable, which is geometrically represented by the slope of a curvilinear trajectory. All of science and engineering, including economics and finance, use calculus as a main tool. Understanding the technical aspects of today&#39;s information technology is not possible without calculus, and calculus has and will continue to have a crucial role in the development of the technologies of the future.The main devices in calculus are limits of real functions and their properties. The use of limits enables us to understand change simply and precisely. This is how areas of irregular shapes can be computed exactly, and how physical processes involving change can be fully understood.UniSA Online’s 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree. This is a course from UniSA Online’s Associate Degree in Engineering. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1076 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device.Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Combine algebra, geometry, and limits to solve maths problems dealing with changes and rates of change. By studying calculus, you’ll unlock powerful tools for use in physics, engineering, and economics. Covers differential and integral calculus.

Gain a solid foundation in mathematical and statistical concepts essential for mastering data analytics.This course covers key topics such as linear algebra concepts, vector and matrix operations, and the fundamentals of eigenvalues and eigenvectors. Explore dynamical systems and optimisation techniques, including gradient descent. Dive into linear regression, probability concepts—such as probability laws, Bayes&#39; rule, and independence—and selected probability distributions. Learn the principles of statistical inference and how to apply them effectively to data analytics.This is a first-year course from UniSA Online’s Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1080, MATH 2032 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Mathematics Essentials in Data Analytics

Build a strong mathematical foundation for your data analytics journey with our comprehensive course.Explore essential topics including arithmetic and algebraic operations, linear and quadratic equations, and logarithmic and exponential functions. Dive into matrices and determinants, and master absolute values, inequalities, and sets. Gain a solid grounding in basic probability and statistics to support your data analytics skills.Join us to develop the mathematical skills needed to excel in data analytics and unlock new opportunities for data-driven insights!This is a first-year course from UniSA Online’s Data Analytics degree. Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Fundamentals of Mathematics for Data Analytics

This subject extends students’ knowledge of Calculus. The subject covers differential equations, series, multivariable functions, integration, partial differential equations and applications of these theories including modelling physical problems.

Advanced Calculus

This subject introduces students to areas of discrete mathematics. The subject covers relations, including equivalence relations and partial orderings; algorithms; areas of number theory, including induction and recursion; proofs; and graph theory, including an introduction to trees and their applications.

Discrete Mathematics

Data Handling and Statistics 2 is the second of three applied statistics subjects offered by the School of Natural Sciences (Mathematics). This subject is designed to extend students&#39; knowledge of statistical data analysis. It builds on the concepts introduced in Data Handling &amp; Statistics 1 and gives a detailed treatment of regression and ANOVA within a general linear modelling framework. Students will become proficient in the use of a contemporary statistical package R, the interpretation of its output and reporting of statistical analyses to statisticians and to the general public. Students will be able to evaluate the appropriateness of experimental designs and statistical methods and suggest changes to designs and analyses.

Data Handling and Statistics 2

The applicability of calculus and linear algebra is so broad that fluency in it is essential for a successful career in a variety of areas including science and engineering. This subject is devoted to the conceptual and logical development of these two main areas of mathematics, gradually building the tools for solving innumerable problems of great practical importance. In the calculus part of the subject, a brief look at the Real Number System and their properties will lead us to the study of Functions in general and the study of special functions such as trigonometric, exponential and logarithmic functions. The notion of limits will be utilized to define continuity and differentiability of functions, emphasizing the importance of understanding the material conceptually and graphically. This area will also help establish the technical skills necessary to solve problems arising in practical situations. One highlight of the subject will be the discussion of the Fundamental Theorem of Calculus, which unifies differential and integral calculus. An introduction to two and three dimensional vector spaces will be an essential part of the subject as the knowledge in that area is vital, particularly for studies in engineering and physics.

Mathematics 1A

The foundations of linear algebra and calculus introduced in MATH1010 are further explored and extended. Topics covered in algebra include: inverse matrices, determinants, vector spaces &amp; subspaces, eigenvalues and eigenvectors and linear transformations. In calculus the topics include: the further development of the concepts of limits, continuity and the derivative, numerical integration, polynomials, sequences &amp; series and differential equations. In addition, complex numbers and the calculus of two or more variables are introduced. Students utilise mathematical software throughout the course to support and enhance problem solving for a variety of theoretical and practical problems.

Calculus & Linear Algebra II

Undergraduate Certificate Mathematics Courses & Degrees | Open Universities Australia

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