Courses & Units

Engineering Mathematics 2B KME272



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.


Unit name Engineering Mathematics 2B
Unit code KME272
Credit points 12.5
College/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics
Coordinator Doctor Michael Brideson
Available as an elective? Yes
Delivered By University of Tasmania


Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Semester 2 10/7/2023 8/8/2023 28/8/2023 15/10/2023

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • calculate probabilities and expectations of combinations of events
  • explain appropriate standard probability distributions to model discrete and continuous processes
  • make statistically valid inferences, such as hypothesis testing, about observed data
  • design and run code to solve problems numerically
  • develop appropriate numerical schemes to approximate mathematical models or operations
  • assess the evolution and propagation of errors in a numerical approximation scheme
Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
010101 $515.00 $515.00 not applicable $2,522.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

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KMA154 or JEE104


Teaching Pattern

3 x 1-hr workshops weekly, 1 x 2-hr tutorial weekly

AssessmentProbability and Statistics Quiz (10%)|Probability and Statistics Test (20%)|Probability and Statistics Assignments (20%)|Computational Techniques Assignments (25%)|Computational Techniques Test (20%)|Matlab Grader Assignment (5%)
TimetableView the lecture timetable | View the full unit timetable



There is no required textbook. Lecture notes will be provided.


Probability and Statistics  
•    An Introduction to Reliability and Maintainability Engineering. Charles E. Ebeling, Waveland Press, 1997. 
•    Advanced Engineering Mathematics, 8th edition. Erwin Kreyszig, Wiley 1999.
•    Introduction to Probability and Statistics. Mendenhall, Beaver and Beaver, Cengage Learning, 2006.
•    Practical Reliability Engineering, 5th Ed. Patrick P. O'Connor, Wiley. ISBN: 80470979815.
Computational Techniques
•    Numerical Analysis, 8th edition. Richard L Burden and J Douglas Faires. Thomson 2005.
•    Elementary Numerical Analysis, 3rd edition. Atkinson and Han. Wiley 2004.

Kreyszig is an excellent reference book, covering a broad range of topics including linear algebra, vector calculus, differential equations (ordinary and partial), Fourier analysis, complex analysis, numerical methods, optimisation, and probability and statistics.

LinksBooktopia textbook finder

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