# Complex Analysis (MAST30021)

Undergraduate level 3Points: 12.5On Campus (Parkville)

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## Overview

Year of offer 2019 Undergraduate Level 3 MAST30021 Parkville Semester 1Semester 2 Subject EFTSL, Level, Discipline & Census Date

Complex analysis is a core subject in pure and applied mathematics, as well as the physical and engineering sciences. While it is true that physical phenomena are given in terms of real numbers and real variables, it is often too difficult and sometimes not possible, to solve the algebraic and differential equations used to model these phenomena without introducing complex numbers and complex variables and applying the powerful techniques of complex analysis.

Topics include:the topology of the complex plane; convergence of complex sequences and series; holomorphic functions, the Cauchy-Riemann equations, harmonic functions and applications; contour integrals and the Cauchy Integral Theorem; singularities, Laurent series, the Residue Theorem, evaluation of integrals using contour integration, conformal mapping; and aspects of the gamma function.

## Intended learning outcomes

At the completion of this subject, students should understand the concepts of holomorphic function and contour integral and should be able to:

• apply the Cauchy-Riemann equations
• use the complex exponential and logarithm
• apply Cauchy’s theorems concerning contour integrals
• apply the residue theorem in a variety of contexts
• understand theoretical implications of Cauchy’s theorems such as the maximum modulus principle, Liouville’s Theorem and the fundamental theorem of algebra

## Generic skills

In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:

• problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
• analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
• collaborative skills: the ability to work in a team;
• time-management skills: the ability to meet regular deadlines while balancing competing commitments.

Last updated: 21 March 2019