Engineering Analysis A

This subject has the following teaching availabilities in 2008:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

This subject introduces important mathematical concepts required in engineering. Students should develop an ability to apply vector space methods to the study of linear algebraic equations and linear transformations. Students will also learn to formulate and solve a range of decision-making problems by well-known algorithms. Students will develop an ability to solve linear and nonlinear difference equations. Students will develop an ability to use statistical methods to analyse empirical data. Students will gain experience in using a mathematical software system.

Topics include vector spaces, linear systems of equations, matrix methods; networks, linear and integer programming, difference equations; and probability distributions, random variables hypothesis testing, linear regression.

Information Not Available

This subject is not available as a breadth subject.

• ability to apply knowledge of basic science and engineering fundamentals

• ability to communicate effectively, not only with engineers but also with the community at large

• in-depth technical competence in at least one engineering discipline

• ability to undertake problem identification, formulation and solution

• understanding of professional and ethical responsibilities and commitment to them

• expectation of the need to undertake lifelong learning, capacity to do so

• capacity for independent critical thought, rational inquiry and self-directed learning

• intellectual curiosity and creativity, including understanding of the philosophical and methodological bases of research activity

• profound respect for truth and intellectual integrity, and for the ethics of scholarship

Students may only gain credit for one of the following groups of subjects (620-231 Vector Analysis and 620-232 Mathematical Methods) or (431-201 Engineering Analysis A and 431-202 Engineering Analysis B)