Intermediate Courses 

Intermediate core course for the degree in Electrical Engineering. U2.007 MATH 291F Vector Calculus and Complex Variables (Advanced) is an acceptable alternative.

Mutually exclusive with: U2.007 MATH 291
Prerequisite: U1.000 Mathematics 1 (N) or (A)
Classes: (3 lec & 1 tut)/wk in Sem 1
Assessment: one 2hr exam, assignments, tutorial participation

Syllabus summary: This course has two major components: firstly, a study of functions of several real variables from a vector point of view, and secondly, and introduction to functions of a complex variable. Topics include the following. Several variable vector calculus: Review of partial differentiation; line integrals and multiple integrals; surface integrals; change of variables; theorems of Green, Gauss and Stokes with physical significance. Complex variables: Review of complex numbers; definitions and properties of complex functions; differentiability; Cauchy Riemann conditions and analyticity; contour integration and residues.

Intermediate core course for the degree in Electrical Engineering. U2.008 MATH 292 Linear Algebra (Advanced) is an acceptable alternative.

Mutually exclusive with: U2.008 MATH 292
Prerequisites: U1.000 Mathematics 1 (N) or (A)
Classes: (3 lec & 1 tut)/wk in Sem 1
Assessment: one 2hr exam, assignments, tutorial participation

Syllabus summary: Topics include: Systems of linear equations: existence of solutions, uniqueness; numerical solution; scaled partial pivoting; residual correction.
Vector spaces: subspaces, linear combinations, spanning set, linear dependence, basis, dimension; Lagrange polynomials; linear transformations, kernel, image space, rank.
Eigenspaces: characteristic equation, computation of eigenspaces; similar matrices, diagonalisation; difference equations, coupled differential equations, iterative solution of AX = B; numerical evaluation, power method,Gershgorin circles.

Intermediate core course for the degree in Electrical Engineering.

Mutually exclusive with: U2.011 MATH 295S
Prerequisites: U2.002 MATH 201 or U2.007 MATH 291
Classes: (3 lec & 1 tut)/wk in Sem 2
Assessment: one 2hr exam, assignments

Syllabus summary: Fourier Series: Periodic phenomena such as wave motion are given a systematic treatment. The basic problem is to represent a periodic function of one variable as the sum of an infinite series of sines and cosines. The theory has extensive applications in engineering, acoustics, internal and surface waves in fluids, etc, as well as in pure mathematics.
Ordinary Differential Equations: A review of first order equations is followed by a systematic treatment of second order equations using the method of variation of parameters, undetermined coefficients and the theory of Laplace Transforms. Linear systems of differential equations are treated using matrices and vectors. The phase plane is introduced, and the classification of critical points and stability are discussed.
Partial Differential Equations: The emphasis is on the application of the method of separation of variables to first and second order linear equations. Several lectures are used to study the solution of initial value problems using Laplace transforms.

 Intermediate core course for the degree in Electrical Engineering.

Prerequisites: U2.007 MATH 291 or U2.002 MATH 201
Classes: in Sem 2
Assessment:

Syllabus summary: This option is an introduction to the theory and techniques of numerical approximation and analysis. The course is heavily computer oriented and gives students individual programming practice featuring Matlab and Maple.
Major topics: Errors. Numerical solution of algebraic and transcendental equations: iteration, chord, Newton-Raphson and bisection methods; order of convergence. Polynomial interpolation and differences. Numerical integration: composite trapezoidal and Simpson rules; Gaussian quadrature, Gauss-Kronrod rules; improper integrals. Numerical solution of ordinary differential equations: Runge-Kutta methods; stability and stiffness; multi-step and multi-value methods; Adam's and Gear's methods.

Intermediate core course for the degree in Electrical Engineering as an alternative to U2.002 MATH 201F Vector Calculus and Complex Variables (Normal)

Mutually exclusive with: U2.002 MATH 201
Prerequisites: U1.000 Mathematics 1 (A) or a Credit in U1.000 Mathematics 1 (N)
Classes: (3 lec & 1 tut)/wk in Sem 1
Assessment: one 2hr exam, assignments

Syllabus summary: This course is designed to provide the basic tools needed for studying functions of two or more real variables and also an introduction to functions of one complex variable. These subjects are fundamental to many areas of pure and applied Mathematics, and are essential for students in Science and Engineering courses.
The material on functions of two or more real variables builds on the introduction to this subject provided in the Applied Mathematics component of Semester 2 in first year. Topics include the following. Informal theory of multiple integrals: double integrals, change of variables, triple integrals, line integrals, Green's theorem, surface integrals, Stoke's theorem.

Intermediate core course for the degree in Electrical Engineering as an alternative to U2.003 MATH 292 Linear Algebra (Normal).

Mutually exclusive with: U2.003 MATH 202
Prerequisites: U1.000 Mathematics 1 (A) or a Credit in U1.000 Mathematics 1 (N)
Classes: (3 lec & 1 tut)/wk in Sem 1
Assessment: one 2hr exam, assignments

Syllabus summary: This course is primarily concerned with linear transformations. Abstract vector spaces are introduced as the correct context in which to discuss linear transformations, and the basic structure theorems for finite dimensional vector spaces are proved. The connections between matrices and linear transformations are investigated. Determinants, introduced in first year, are revised and investigated further. A brief discussion of permutations is included here. Eigenvalues and eigenvectors are discussed and their usefulness for diagonalizing linear transformations is shown. Diagonalization techniques are applied to solve simple examples of simultaneous differential equations.

Intermediate core course for the degree in Electrical Engineering as an alternative to U2.004 MATH 205S Fourier Series, Ordinary and Partial Differential Equations (Normal).

Mutually exclusive with: U2.004 MATH 205S
Prerequisites: U2.007 MATH 291 or Credit in U2.002 MATH 201
Classes: (3 lec & 1 tut)/wk in Sem 2
Assessment: one 2hr exam, assignments

Syllabus summary: Application of complex variable to the evaluation of definite integrals and solutions of Laplace's equation in 2-d.
Ordinary differential equations: theory of second order linear equations; series solutions and special functions; Laplace transform.
Partial differential equations: method of separation of variables for boundary value problems; Sturm-Liouville theory and Fourier series.

Intermediate core course for the degree in Electrical Engineering.

Mutually exclusive with: U2.022 PHYS 201F Physics Technological A
Prerequisits: U1.020 Physics 1 and 1.000 Mathematics 1
Classes:
Assessment:

Syllabus summary: This is the same as U2.022 PHYS 201F Physics Technological A minus Computational Physics A and Astronomy.

Intermediate core course for the degree in Electrical Engineering.

Mutually exclusive with: U2.023 PHYS 202S Physics Technological B
Prerequisits: U1.020 Physics 1 and 1.000 Mathematics 1
Classes:
Assessment:

Syllabus summary: This is the same as U2.023 PHYS 202S Physics Technological B minus AC Circuit heory.

Intermediate elective course for the degree in Electrical Engineering

Mutually exclusive with: U2.044 COMP 291F and with U2.0401E COMP 205F
Prerequisites: U1.040 Computer Science 1
Classes: (2 lec, 2 prac)/wk in Sem 1.
Assessment: assignments, written exam

Syllabus summary: An overview of the aspects of computer hardware that are important for understanding the function and performance of software. The course consists of two principal components. Machine Principles: In this section we discuss the organisation of a computer central processing unit, CPU, and the assembly and machine language commands that control it. We also pay particular attention to the different data types supported, such as two's complement integers and floating point. System Structures: In this section we discuss the low-level organisation of system software including the organisation and action of a simple compiler and its run-time environment, and the system call and interrupt handling mechanisms.

Intermediate elective course for the degree in Electrical Engineering

This is a modified version of U2.0401 COMP 201F Computer Systems for Electrical Engineering students.

Intermediate core course for the degree in Electrical Engineering.

Mutually exclusive with: U2.045 COMP 292
Prerequisite: U1.040 Computer Science 1
Classes: (2 lec & 1 tut)/wk in Sem 1
Assessment: assignments, written exam

Syllabus summary: When there is numerous data, its structure (arrangement) determines what operations can be done with it. For example, the Sydney telephone directory may be used to find out a subscriber's telephone number, but not which subscriber has a given number. Many data structures have been developed over the years, each suited to a particular set of operations. This course introduces the most frequently used ones, including the array, linked list,
binary tree, B-tree, hash table, heap, adjacency matrix, and adjacency lists. It shows how to implement them, verify their correctness, calculate their time complexity, and decide when to use them. More generally, this focus on data and its associated operations will lead to a productive approach to the design of large programs: data abstraction.

Intermediate elective course for the degree in Electrical Engineering

Mutually exclusive with: U2.046 COMP 293S, U2.0403E COMP 206S and U2.049 COMP 296S
Prerequisites: (U2.0402 COMP 202 or U2.045 COMP 292) and U1.000 Mathematics 1
Classes: (2 lec & 1 tut)/wk in Sem 2
Assessment: assignments, written exam

Syllabus summary: All communication requires a language. People communicate with each other in a natural language such as English; they communicate with computers in a formal language such as Pascal. This course studies two important kinds of formal languages (called regular and context-free), and the algorithms, or automata, that are used to recognise them. On the theoretical side, several ways to represent languages are presented, and their capabilities and
limitations discovered; on the practical side, sound and indeed foolproof methods are derived for writing programs to recognise formal languages such as Pascal. Considerable emphasis is also put on the use of logic (both propositional and first-order), which provides a powerful design tool for hardware implementations of automata.

Intermediate elective course for the degree in Electrical Engineering

This is a modified version of U2.0403 COMP 203S Languages and Logic for Electrical engineering students.

Intermediate core course for the degree in Electrical Engineering. An acceptable alternative is U2.047 COMP 294S Programming Practice (Advanced)

Mutually exclusive with: U2.047 COMP 294S
Prerequisites: U2.0402 COMP 202F
Classes: (2 lec & 1 tut)/wk in Sem 2
Assessment: assignments, written exam

Syllabus summary: In this course we attack the task of the programmer from an engineering viewpoint. This means that a major focus is on using existing tools as building blocks to complete a task. This course will teach C programming, its idiom and its considerable array of powerful programming tools. In addition, students will study the implementation of some of the library tools so that they gain an appreciation of how much better these are than a typical programmer would be able to create. In addition, it will introduce students to some of the very elegant ideas from computer science that have been applied in the construction of the tools.

Intermediate elective course for the degree in Electrical Engineering

Mutually exclusive with: U2.0401 COMP 201F and U2.0401E COMP 205F
Prerequisites: U1.040 Computer Science 1 (with sufficient merit)
Classes: (2 lec, 2 prac)/wk in Sem 1
Assessment: assignments, written exam

Syllabus summary: This course is the advanced alternative to COMP 201. Topics in Computer
Systems are covered at an advanced and more challenging level.

Intermediate core course for the degree in Electrical Engineering as an alternative to U2.0402 COMP 202F Design and Data Structures

Mutually exclusive with: U2.0402 COMP 202
Prerequisites: 1.040 Computer Science 1 (with sufficient merit)
Classes: (2 lec & 1 tut)/wk in Sem 1
Assessment: assignments, written exam

Syllabus summary: This course is the advanced alternative to COMP 202F. Topics in Data Structures are covered at an advanced and more challenging level.

Intermediate elective course for the degree in Electrical Engineering

Mutually exclusive with: U2.0403 COMP 203S, U2.0403E COMP 206S and U2.049 COMP 296S
Prerequisites: U2.045 COMP 292 or U2.0402 COMP 202 (with sufficient merit) and 1.000 Mathematics 1
Classes: (2 lec & 1 tut)/wk in Sem 2
Assessment: assignments, written exam

Syllabus summary: This course is the advanced alternative to COMP 203. Topics in languages and Logic are covered at an advanced and more challenging level.

Intermediate core course for the degree in Electrical Engineering as an alternative to U2.0404 COMP 204 Programming Practice

Mutually exclusive with: U2.0404 COMP 204
Prerequisites: 1.040 Computer Science 1 (with sufficient merit) or U2.045 COMP 292 or U2.0402 (with sufficient merit)
Classes: (2 lec & 1 tut)/wk in Sem 2
Assessment: assignments, written exam

Syllabus summary: This course is the advanced alternative to COMP 204. Topics in Programming are covered at an advanced and more challenging level.

Intermediate elective course for the degree in Electrical Engineering as an alternative to U2.0401E COMP 205.

 Intermediate elective course for the degree in Electrical Engineering as an alternative to U2.0403E COMP 203.

Intermediate elective course.

Prerequisite: nil
Classes: one 2hr class/wk in the early evening throughout the year and a 3-week full-time intensive course in the July vacation. Attendance is required at all lectures and classes.
Assessment: oral tests, written assignments, and one 2hr written exam in each of June and November.

Syllabus summary:
language study (75%), general culture (15%), business culture (10%) for the country chosen.

Intermediate core course for the degree in Electrical Engineering.

Mutually exclusive with: U2.471 Introductory Mechatronics, U2.502 Electrical Technology, U2.504 Electrical and Electronic Engineering.
Prerequisite: U1.511 Electrical Engineering 1
Corequisites: Nil
Classes: 5lec/wk plus 36hrs of lab/tut.
Assessment: Two 2hr exams plus reports and assignments.

Syllabus summary:
Circuits and energy conversion - Transient and steady state responses of electric circuits. Complex frequency analysis, phasors. Laplace transform, transfer functions and frequency response. Transformers. Two port networks. Introduction to energy conversion; balanced three phase circuits. Modelling and simulation using Matlab.
Digital systems - Computer architecture and assembly language programming. Microprocessor and microcontroller systems, memory and IO interfacing, serial and parallel communications; real time control; system design decision, implementation and debugging.
Engineering development and structure - Engineering in history; early electical engineering; engineering in Australia; industry and the economy; Australian economy in a world context; electrical engineering and economic development.

Intermediate core course for the degree in Electrical Engineering.

Mutually exclusive with: U2.502 Electrical Technology, U2.504 Electrical and Electronic Engineering.
Prerequisite: U1.511 Electrical Engineering 1
Corequisite: U2.021 Physics 2EE
Classes: 5lec/wk plus 36hrs of lab/tut.
Assessment: Two 2hr exams plus reports and assignments.

Syllabus summary:
Electronics - Basics of semiconductors, diodes, transistors; small-signal and large-signal models, rectification, biassing, gain; FET and BJT circuits, introduction to operational amplifiers.
Signals and communications - Time and frequency representations of elementary signals and periodic and non-periodic signals. Fourier series and transform. Linear systems: impulse and frequency response. System functions of analog filters. Communication system fundamentals: channels, baseband communication of analog signals and binary data, amplitude and frequency modulation and demodulation.
Product innovation - The product innovation process; role of the engineer in innovation.