Engineering Faculty Courses for Summer Term 2020

Please note: The following information is provided as a guide only to help you find information about Summer Term courses. Offering information may change so please refer to the Handbook for more current information.

Chemical Reaction Engineering

Course Code: CEIC2005

Applied physical chemistry, kinetics and reaction engineering. Thermodynamic concepts related to Gibbs free energy as applied to phase equilibria and kinetics are illustrated and expanded. In this course, the student will learn the key concepts of chemical reaction kinetics (such as order of reactions, elemental reactions, reaction mechanisms, steady state kinetics, temperature dependence of chemical reactions, the influence of catalysts on the reaction kinetics etc.) and how these kinetic concepts can be employed to choose and operate a suitable reactor for a certain reaction. Reaction kinetics and thermodynamics are interlinked: One tells you how fast a reaction is, the other tells you whether the reaction will proceed at all. Finally, kinetics and thermodynamics are applied in reaction engineering.

Research Thesis A

Course Code: CEIC4951/CEIC9951

Note: This course is pending approval and is To Be Confirmed.

Research Thesis (Advanced Research Thesis) is an inquiry-based learning course that provides an opportunity for students to bring together engineering principles learned through academic study. Students apply these principles to innovatively solve problems such as the development of a specific design, process and/or the investigation of a hypothesis.

Artificial Intelligence

Course Code: COMP3411

This course is an introductory course on Artificial Intelligence, assuming only a facility with Python programming such as would be acquired in an introductory Python programming course, and some mathematical maturity. The course is taught with an orientation towards data science and with a view to practical applications of Artificial Intelligence using Python and focuses on the use of Python toolkits for AI such as NLTK (for natural language processing) and Scikit Learn (for machine learning). Some AI applications that make use of foundational concepts will be demonstrated in lectures.

Human Computer Interaction

Course Code: COMP3511

This course provides an introduction to user-system interactions, both analysis and design. The approach is cognitive, focusing on matching user goals with computer technologies. Topics include the human information processing system, models of interaction, and strategies for and process of design and evaluation. Project work is emphasised within the course.

Data Structures and Algorithms

Course Code: COMP9024

Note: This course is pending approval and is To Be Confirmed.

Data structures are used to store data inside a computer. It's crucial that data can be accessed and manipulated efficiently. An algorithm is a step-by-step process for solving a problem in a finite amount of space and time. The design of an algorithm can heavily influence the design of a data structure, and vice versa. Understanding how data and algorithm must work together is essential for good software and hardware developers and system architects. The content of this course forms the basis of a tool box that every serious computer-science practitioner should have: data types and structures, abstract data types, dynamic data structures, complexity analysis and a variety of basic graph and tree processing algorithms.

Artificial Intelligence

Course Code: COMP9414

Overview of Artificial Intelligence. Topics include: the representation of knowledge, search techniques, problem solving, machine learning, expert systems, natural language understanding, computer vision and an Artificial Intelligence programming language (Prolog or LISP). Students may be required to submit simple Artificial Intelligence programs, or essays on an aspect of A.I, for assessment, in areas such as robotics, computer vision, natural language processing, and machine learning.

Human Computer Interaction

Course Code: COMP9511

Provides an introduction to user-system interactions, both analysis and design. The approach is cognitive, focusing on matching user goals with computer technologies. Topics: the human information processing system, models of interaction, strategies for and process of design, and evaluation. Project work is emphasised.

Structural Analysis and Modelling

Course Code: CVEN2303

This course introduces students to structural analysis and computer modelling of structures. It explains the theory and physics behind existing computer software that are used for the analysis of complicated structures. It also provides students with a better understanding of the structural behaviour of beams, frames and trusses under different loading conditions. The tools and knowledge gained in this course are inevitable for the design of structures. The topics that are covered in this course include revision of statics with emphasise on drawing internal forces diagrams; conjugate beam method, energy of structures, principles of virtual work; the force (flexibility) method; stiffness method; and moment distribution method applied to continuous beams.

Environmental Sustainability - Methods, Tools, Management

Course Code: CVEN4705

An introduction to sustainable engineering principles and the social, economic and political context in which they have arisen, and in which they are implemented. It introduces methods, techniques and tools used by public and private sector sustainability managers to implement sustainable engineering principles in organisations, regions, projects and processes. Sustainability assessment techniques are introduced that can be applied at a product level (Life Cycle Assessment), at a corporate and regional level (Materials Flow Analysis) and at a regional and national level (Environmental Footprint and Input-Output Analysis). The course will introduce principles of Industrial Ecology (IE) and the preparation of Environmental Impact Statements (EIS), Environmental Management Systems (EMS) and Environmental Reports (ER).

Electrical and Telecommunications Engineering

Course Code: ELEC1111

An introduction to the art and science of Electrical Engineering and Telecommunications, and the systems approach to engineering design. Includes are examples of electrical and electronic devices, circuits and analogue and digital systems; analogue circuit analysis; digital electronics and combinatorial logic; transformers, power sources and electrical energy systems including DC and AC motors; feedback control; telecommunications systems, including frequency, spectra, modulation and Internet systems; and safety standards.

Strategic Leadership and Ethics

Course Code: ELEC4122

Theories of leadership; leadership of teams. Organisational behaviour. Strategic planning. Uncertainty and risk. The interaction of laws with engineering projects and innovations. The role of engineering in society; assessment of innovation in processes and products. Engineering ethics principles and practice: an introduction to ethical systems; the application of ethical frameworks to engineering practice with particular reference to electrical engineering and computing; codes of ethics in the professions; social, political, environmental and economic considerations.

Engineering Mechanics

Course Code: ENGG1300

This is the foundational mechanics course for students in Aerospace, Civil, Environmental, Manufacturing, Mechanical, Mechatronics and Mining Engineering, with content as follows: Revision of vectors, resultants and components, moments; The free body diagram; Equilibrium of planar rigid objects; Equilibrium of systems of co-planar multi-force members and planar trusses; Frames and Machines; Springs; Friction; Mass centre, centroids, distributed forces; Internal forces in beams; Introduction to 3-dimensional statics; Plane particle kinematics, including curvilinear and relative motion; Plane particle kinetics, including equations of motion, work-energy-power, friction, impulse-momentum, impact; Kinetics of systems of particles; Introduction to plane kinematics of rigid bodies, types of rigid body motion (translation, rotation about a fixed axis); Mass moment of inertia, parallel axis theorem, moment of inertia for various shapes, Introduction to plane kinetics of rigid bodies, rigid body in plane motion, equations of motion, work-energy for a rigid body.

Fluid Mechanics for Engineers

Course Code: ENGG2500

The objective of ENGG2500 is to introduce engineering students to the principles of fluid mechanics. Topics discussed include Fluid properties. Hydrostatics. Buoyancy. Pressures in fluid systems. Principles of mass conservation. Steady flow energy equations. Flow measurement. Forces and momentum in flowing fluids. Dimensional analysis, similarity and physical modelling. Pipe flow. Incompressible laminar and turbulent flow in pipes; friction factor. Elementary boundary layer flow; skin friction and drag. Pumps and turbines. Pump and pipeline system characteristics.

Mineral Resources Engineering

Course Code: MINE1010

Note: This course is pending approval and is To Be Confirmed.

This course includes an overview of the Australian minerals industry and the presence and development of mineral resources in Australia; the role of the mining engineer and career path options; awareness of major mineral types and distribution in Australia; basic mining concepts and systems, operations, equipment & services; an introduction to risk management and general issues of safety, health and wellbeing, including important issues for the safety of persons visiting or working at mining operations in remote or bushland areas.

 

About Summer Term