Course Title: Introduction to Engineering Mathematics

Part A: Course Overview

Course Title: Introduction to Engineering Mathematics

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2395

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2020

MATH2395

City Campus

Undergraduate

171H School of Science

Internet

Sem 2 2020

Course Coordinator: Dr Michael Nyblom

Course Coordinator Phone: +61 3 9925 2189

Course Coordinator Email: michael.nyblom@rmit.edu.au

Course Coordinator Location: 15.4.18

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

This course is a requirement for students who have completed VCE Further Mathematics or equivalent, but who have not completed either VCE Mathematical Methods, or Specialist Maths. The learning outcomes of this course will prepare students for Engineering Mathematics Fundamentals and shall include introductions to: Graphing; Functions; Differential & Integral Calculus; Matrices and Complex Numbers. The course will also provide clear contextualised examples of how and why mathematics is such an integral aspect of effective engineering design. This course satisfies prerequisite requirements for Engineering Mathematics which is a program requirement for the flexible first year program.


Objectives/Learning Outcomes/Capability Development

Course Learning Outcomes

On completion of this course you should be able to:

  1. Demonstrate understanding of the fundamentals of the role of mathematics in engineering design;
  2. Apply the core mathematical skills such as arithmetic, algebraic manipulation, elementary geometry and trigonometry to a range of problems;
  3. Utilise techniques of integral and differential calculus to formulate and solve problems;
  4. Recognise the properties of the common mathematical functions (polynomials, exponentials, logarithms, inverse trigonometric) and their combinations commonly found in engineering applications;
  5. Formulate and solve differential equations;
  6. Recognise the properties of matrices and apply matrices to the solution of system of linear equations.


This course contributes to the following Program Learning Outcomes:

1.1 Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline;

1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline;

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline;

2.1 Application of established engineering methods to complex engineering problem solving;

2.2 Fluent application of engineering techniques, tools and resources;

2.3 Application of systematic engineering synthesis and design processes; and

3.2 Effective oral and written communication in professional and lay domains.


Overview of Learning Activities

Key concepts and their application will be explained and illustrated (with examples) in lectures and in online materials. Supervised problem-based practice classes will build your capacity to solve problems, encourage you to think critically and analytically and provide feedback on your academic progress. Online tests and quizzes will consolidate your problem-solving skills and knowledge of the topics presented in class. Set problems and self-help tutorial questions will provide a focus for private study.


Overview of Learning Resources

You will be able to access course information and learning materials through RMIT’s Learning Management System (LMS). The LMS will give access to important announcements, a discussion forum, staff contact details, the teaching schedule, online notes, tests and quizzes, self-help exercises and past exam papers.

A Library Guide is available at http://rmit.libguides.com/mathstats


Overview of Assessment

Overview of Assessment

This course has no hurdle requirements.

Early Assessment test

Weighted 10%

This assessment task supports CLOs 2, 4

Closed book test x 4

Weighting 10%

This assessment task supports CLOs 1, 2, 3, 4

Final exam

Weighting 50%

This assessment task supports CLOs 1, 2, 3, 4, 5, 6