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Hobart

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Introduction

The unit has two major topic streams: computational techniques and probability and statistics.

Probability and Statistics. An important aspect of engineering is the study, evaluation, and management of the reliability of systems, where reliability is defined as the ability of a system or a component to perform its required functions under stated conditions for a specified period. Reliability can be measured as a probability of failure, frequency of failures, or in terms of system availability. In this part of the unit we will give an introduction on statistics and the theory of probability, then concentrate on techniques of statistical analysis that are useful in engineering environments.

Computational Techniques. The use of computers is ubiquitous in modern engineering with enormous faith put in the accuracy of their computations – is that faith founded? In this part of the unit we will explore fundamental numerical processes for obtaining approximate but useful solutions to mathematical models and operations. The consequence of adopting such approximations will be investigated through the evolution and propagation of errors.

Statistical and numerical principles will be demonstrated and explored with scientific software including R and Matlab.

Summary 2021

Unit name Engineering Mathematics 2B
Unit code KME272
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics
Coordinator

Michael Brideson

Teaching staff

Michael Charleston

Available as student elective? No
Breadth Unit? No

Availability

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About Census Dates

Fees

Requisites

Prerequisites

KMA154 or JEE104

Mutual Exclusions

You cannot enrol in this unit as well as the following:

  • KME772

Teaching

Teaching Pattern

3x1-hr lectures, 2-hr tutorial and lab session weekly

Assessment

3-hr exam (50%) and assignments (50%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

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