Home  /   Course Handbook  /  Engineering Mathematics (MATH2420)

# Engineering Mathematics

### Available in 2013

Callaghan Campus Semester 2 Trimester 3

### Previously offered in 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

Introduces key areas of mathematics directly relevant to Electrical, Computer or Telecommunications Engineering. Provides a sound grounding in the differentiation and integration of functions of complex variables, as well as essential concepts associated with both discrete and continuous probability spaces. These topics provide an essential foundation for modern control engineering and signal processing.

Forms the analytical basis for subsequent engineering courses studied in the third and fourth years of the program as well as generic mathematical skills of problem-solving and abstract reasoning.

Objectives At the successful completion of this course, students will have:
1. Necessary mathematical knowledge in the areas of complex variable theory and probability theory to support further engineering studies.
2. An enhanced analytical ability of the students, in particular, their skills at problem-solving and abstract reasoning.
Content .Functions of a complex variable.
.Differentiation of functions.
.Cauchy's integral theorem.
.The calculus of residues - Series expansions
.Contour integration.
.Discrete probability distributions.
.Continuous distributions.
.Probability density functions, expectation, variance and covariance
.Sums of random variables.
.Law of large numbers.
.Hypothesis testing.
Replacing Course(s) n/a
Transition n/a
Industrial Experience 0
Assumed Knowledge MATH1120 or MATH1220, and MATH2310.
Modes of Delivery Internal Mode
Teaching Methods Lecture
Tutorial
Assessment Items
Contact Hours Lecture: for 4 hour(s) per Week for Full Term
Tutorial: for 1 hour(s) per Week for Full Term
Timetables 2013 Course Timetables for MATH2420
• Last Updated: Monday, 20 May 2013 5:04 PM AEST