Bachelor of Engineering (Honours) (Electrical and Electronic)/Bachelor of Computer Science

The following course educational objectives define the achievements of Swinburne graduates in their professional engineering career a few years after graduation.

1. CEO1 Professionalism: Graduates are employed and working as practicing engineers in related engineering fields.
2. CEO2 Continuous Development: Graduates engage in continuous pursuit of knowledge and development of competencies.
3. CEO3 Social Involvement: Graduates contribute to sustainable development and well-being of society.

Students who successfully complete the Bachelor of Engineering (Honours) (Electrical and Electronic) will be able to:

• apply coherent and advanced knowledge of the chosen major in engineering in diverse contexts and applications using critical thinking and judgment.
• apply knowledge of research principles and methods to plan and execute a piece of research with some independence, as preparation for research higher degrees.
• apply problem solving, design and decision-making methodologies to identify and provide innovative solutions to complex problems with intellectual independence.
• apply abstraction, mathematics and engineering fundamentals to the analysis, design and operation of a model, using appropriate engineering methods and tools.
• communicate proficiently in professional practice to a variety of audiences, function as an effective member or leader of a diverse team, and use the basic tools and practices of project management within project work.
• demonstrate professionalism, integrity, ethical conduct, professional accountability and an awareness of professional engineering practice in a global and sustainable context.
• reflect on and take responsibility for their own learning and self-management processes, and manage their own time and processes effectively by regularly reviewing of personal performance as a means of managing continuing professional development and lifelong learning.

Students who successfully complete the Bachelor of Computer Science will be able to:

• apply a broad and coherent knowledge of computer science and software development in diverse contexts and domains using critical thinking and judgment.
• apply appropriate methods and contemporary tools to the scoping, analysis, design, construction, verification and operation of software systems.
• communicate proficiently to a variety of audiences, function as an effective member or leader of a team, and use the basic tools and practices of project management within project work.
• demonstrate professionalism, integrity, ethical conduct, professional accountability and an awareness of professional practice in a global context.
• apply problem analysis and decision-making methodologies to identify, design and implement solutions to industry relevant problems with intellectual independence.
• reflect on personal performance, learning, and self-management processes as a means of continued professional development and lifelong learning.

At the completion of the Bachelor of Engineering (Honours) (Electrical and Electronic) / Bachelor of Computer Science course, graduates should be able to demonstrate the attainment of the following Electrical and Electronic Swinburne Engineering Competencies, required for external professional recognition:

• K1 Basic Science: Proficiently applies concepts, theories and techniques of the relevant natural and physical sciences.
• K2 Maths and IT as Tools: Proficiently uses relevant mathematics and computer and information science concepts as tools in complex engineering activities.
• K3 Discipline Specific: Proficiently applies advanced technical knowledge of Electrical and Electronic Engineering within that context.
• K4 Emerging Disciplinary Trends: Proficiently applies research principles and methods on current or emerging complex problems of Electrical and Electronic Engineering.
• K5 Practice Context: Discerns and appreciates the societal, environmental and other contextual factors affecting professional engineering practice.
• K6 Professional Practice: Appreciates the principles of professional engineering practice in a sustainable context.
• S1 Engineering Methods: Applies engineering methods in practical applications and complex engineering problems.
• S2 Problem Solving: Systematically uses current or emerging knowledge and research methods to undertake independent research in solving complex engineering problems and as preparation for research higher degrees.
• S3 Design: Systematically uses engineering methods in designing solutions to complex engineering problems.
• S4 Project Management: Systematically uses engineering methods in conducting and managing project work including finance.
• A1 Ethics: Values the need for, and demonstrates, ethical conduct and professional accountability.
• A2 Communication: Demonstrates effective communication to professional and wider audiences including in complex engineering activities.
• A3 Entrepreneurial: Appreciates entrepreneurial approaches to engineering practice.
• A4 Information Management: Demonstrates seeking, using, assessing and managing information.
• A5 Professional Self: Demonstrates professionalism and life-long learning.
• A6 Management of Self: Demonstrates self-management processes.
• A7 Teamwork: Demonstrates effective team membership and team leadership.

Swinburne Engineering Competencies (A1-7, K1-6, S1-4): Find out more about Engineering Skills and Competencies including the Engineers Australia Stage 1 Competencies. 

For the completion of Bachelor of Engineering (Honours) (Electrical and Electronics) / Computer Science, students are required to complete a total of 40 units (500 credit points) consisting of:

• 14 Core Units of Study (175 credit points)
• 18 units of study from Electrical and Electronic Major (225 credit points)
• 8 units of study from Computer Science Major (100 credit points)
• 1 compulsory, not-for-credit units (0 credit points)

Core units for Bachelor of Engineering (Honours) (Electrical and Electronic) / Bachelor of Computer Science

• COS10025 Technology in an Indigenous Context Project
• ENG10002 Engineering Materials
• ENG10003 Engineering Mechanics
• MTH10013 Linear Algebra and Applications
• ENG10001 Humanitarian Engineering Design Project
• COS10009 Introduction to Programming
• MTH10012 Calculus and Applications
• PHY10001 Energy and Motion
• COS10004 Computer Systems
• COS20007 Object Oriented Programming
• TNE10006 Networks and Switching
• COS10026 Computing Technology Inquiry Project
• ENG40005 Final Year Capstone Project 1*^†
• ENG40006 Final Year Capstone Project 2*^†

Electrical and Electronic Major

• EEE20006 Circuits & Electronics 1
• ENG20010 Engineering Technology Design Project
• EEE20005 Electrical Machines
• ENG20013 Power Protection
• ENG20009 Engineering Technology Inquiry Project
• TNE20003 Internet and Cybersecurity for Engineering Applications
• EEE30002 Electrical Power Systems
• EEE40005 Power Electronics
• ENG40011 Engineering Technology Innovation Project
• EEE40007 Power System Operation and Control
• MTH20017 Mathematical Methods and Statistics for Engineering
• COS40007 Artificial Intelligence for Engineering
• ENG30002 Engineering Technology Sustainability Project
• RME30002 Control and Automation
• EEE30006 Hydrogen and Energy Storage
• EEE40016 Design of Smart Power Grids
• TNE30024 Deploying Secure Engineering Applications Online
• EEE40015 Renewable Energy

Software Development Major

• COS20019 Cloud Computing Architecture
• COS20031 Computing Technology Design Project
• COS30049 Computing Technology Innovation Project
• SWE30003 Software Architecture and Design
• COS30008 Data Structures and Patterns
• COS30043 Interface Design and Development
• COS40003 Concurrent Programming
• SWE30009 Software Testing and Reliability

Artifical Intelligence Major

• COS20019 Cloud Computing Architecture
• COS20031 Computing Technology Design Project
• COS30049 Computing Technology Innovation Project
• SWE30003 Software Architecture and Design
• COS30018 Intelligent Systems
• COS30019 Introduction to Artificial Intelligence
• COS30082 Applied Machine Learning
• COS40007 Artificial Intelligence for Engineering

Internet of Things Major

• COS20019 Cloud Computing Architecture
• COS20031 Computing Technology Design Project
• COS30049 Computing Technology Innovation Project
• SWE30003 Software Architecture and Design
• COS30020 Advanced Web Development
• COS30017 Software Development for Mobile Devices
• SWE30011 IoT Programming
• SWE30011 Network Administration

Data Science Major

• COS20019 Cloud Computing Architecture
• COS20031 Computing Technology Design Project
• COS30049 Computing Technology Innovation Project
• SWE30003 Software Architecture and Design
• COS10022 Data Science Principles
• COS20028 Big Data Architecture and Application
• COS30045 Data Visualisation
• SWE40006 Software Deployment and Evolution

Cybersecurity Major

• COS20019 Cloud Computing Architecture
• COS20031 Computing Technology Design Project
• COS30049 Computing Technology Innovation Project
• SWE30003 Software Architecture and Design
• COS20030 Malware Analysis
• COS30015 IT Security
• TNE20003 Internet and Cybersecurity for Engineering Applications
• TNE30009 Network Security and Resilience

* Outcome unit – completion demonstrates the attainment of course learning outcomes
^† Honours merit unit – results are used in the honours merit calculation

In the final year, students will be required to undertake two Final Year Research Project units (capstone experiences) which helps meet professional accreditation requirements.

Students are required to complete EAT20008 Professional Experience in Engineering (non-credit point unit), a 12-week approved relevant industrial practical experience before the commencement of the last semester of study.