Computer Science (Artificial Intelligence) (Honours)

The Bachelor of Computer Science (Artificial Intelligence) (Honours) requires four years of full-time study (or the equivalent part-time).The course is offered by the College of Science and Engineering.

To qualify for the Bachelor of Computer Science (Artificial Intelligence)(Honours), a student must complete 144 units with a grade of P or NGP or better in each topic, according to the program of study below.

Not all topics are necessarily available in a given year. No more than 45 units of First Level topics may be included in the 144 units for the degree. Students achieving a credit level average or better at the end of third year will be eligible to continue to the fourth year honours degree program in Artificial Intelligence. Students who do not meet the GPA requirement will exit with the Bachelor of Computer Science (Artificial Intelligence) on completion of 108 units. Students who have completed 108 units according to the first three years of the program may choose to exit with the Bachelor of Computer Science (Artificial Intelligence).

Core - Year 1 topics

36 units comprising:

COMP1002 Fundamentals of Computational Intelligence (4.5 units) COMP1102 Computer Programming 1 (4.5 units) COMP1711 Database Modelling and Knowledge Engineering (4.5 units) ENGR1401 Professional Skills (4.5 units) ENGR1762 Networks and Cybersecurity (4.5 units) MATH1121 Mathematics 1A (4.5 units) STAT1121 Data Science (4.5 units)

Plus 4.5 units selected from the chosen Minor

Core - Year 2 topics

36 units comprising:

COMP2712 Heuristic Optimisation (4.5 units) COMP2711 Computer Programming 2 (4.5 units) COMP2772 Web-Based Systems Development (4.5 units) COMP2781 Computer Mathematics (4.5 units) COMP2812 Operating Systems (4.5 units) ENGR2881 Computer Networks (4.5 units)

Plus 9 units selected from the chosen Minor

Core - Year 3 topics

36 units comprising:

COMP3712 Computer Programming 3 (4.5 units) COMP3721 Enterprise Information Security (4.5 units) COMP3722 Theory and Practice of Computation (4.5 units) COMP3742 Intelligent Systems (4.5 units) ENGR3704 Project Management for Engineering and Science (4.5 units)

Plus 4.5 units selected from the chosen Minor

Plus either:

COMP3782 Information Technology Project (4.5 units) AND

4.5 units of topics taken from Table C#:

OR

COMP3792 Information Technology Practicum* (9 units) AND ENGR3750 Workplace Preparation (0 units)

Year 4 topics – Honours Year Topics^

36 units comprising^^: COMP7700A Honours Thesis (4.5/22.5 units) COMP7700B Honours Thesis (4.5/22.5 units) COMP7700C Honours Thesis (4.5/22.5 units) COMP7700D Honours Thesis (4.5/22.5 units) COMP7700E Honours Thesis (4.5/22.5 units) STEM7001 Honours Research Methods (4.5 units) Plus 9 units selected from**:

COMP7701 Advanced Enterprise Security (4.5 units) COMP7707 Advanced Data Mining (4.5 units) COMP7716 Information Retrieval and Language Technology (4.5 units) ENGR7791 Software Engineering 4 (4.5 units) ENGR9742 Systems Engineering (4.5 units)

Minors

• Human Intelligence
• MultiModal Intelligence
• Research Methods
• Robotic Intelligence
• SensoriMotor Intelligence
• Serious Games

# With the permission of the Course Coordinator the Table C topic may be replaced with another topic appropriate to the student’s program

* With the permission of the Course Coordinator and with the agreement of the industry partner, the practicum topics may be extended by six months by enrolling in the topic COMP3741 Extended Industry Experience. COMP3741 Extended Industry Experience does not attract fees or HECS payments. International students, please be aware that your student visa conditions restrict you from undertaking the topic within Australia. Please see the topic coordinator for further details

** or another 7xxx level topic approved by the Course Coordinator, that is appropriate to the student’s program.

^The honours grade awarded is determined in accordance with the University's Assessment Policy and Procedures and is calculated from the Weighted Average Mark of all topics at level 4000 and above taken as part of the degree as follows:

85 ≤ WAM - Honours First Class (H1) 75 ≤ WAM < 85 - Honours Second Class Division A (H2A) 65 ≤ WAM < 75 - Honours Second Class Division B (H2B) 50 ≤ WAM < 65 - Honours Third Class (H3)

Where a student has satisfied all requirements for the course but has achieved a WAM of less than 50, the WAM will be deemed 50 for the purposes of calculating the honours classification.

^^Students must undertake the Honours Thesis topics over a minimum of two semesters.

Combined degrees

The Bachelor of Computer Science (Artificial Intelligence) (Honours) may also be studied in a combined degree program with:

• another Bachelor degree in the College of Science and Engineering where the combination meets the requirements of the credit transfer policy

The minimum requirements for consideration for entry to all undergraduate courses are specified in detail in the University Entry Requirements. Successful completion of either SACE Stage 2 (Year 12) Specialist Mathematics or Mathematical Methods or equivalent International Baccalaureate subjects is normally required for entry to the Bachelor of Computer Science (Artificial Intelligence) (Honours).

On completion of the award, students will be able to:

• competently use professional skills and knowledge in the systematic development of intelligent systems
• demonstrate a broad understanding of the cognitive sciences and the methods of computational intelligence
• demonstrate a foundation in theoretical and the practical aspects of cognitive science
• apply their skills and knowledge in a professionally responsible and ethical manner
• communicate effectively with other cognitive scientists and the wider global community using a wide range of communication technologies
• work professionally as an individual and in a team
• collect, curate and exploit data in a way that is consistent with international standards and ethical principles
• develop and evaluate intelligent computer-based solutions appropriate to the social, political, international, economic and environmental contexts in which they are applied
• engage in the process of continuing learning needed to retain the necessary level of professional skills and knowledge in the area of artificial intelligence and cognitive science
• contribute successfully to project management.

On completion of the honours year, students will also be able to:

• competently use professional skills and knowledge in the systematic development of intelligent systems including the development of interdisciplinary cognitive models
• demonstrate a broad understanding of the cognitive sciences and the tools and methods of artificial intelligence and computational intelligence
• demonstrate an in-depth interdisciplinary understanding across multiple cognitive sciences
• apply their skills and knowledge in a professionally responsible manner
• communicate effectively with other cognitive scientists, researchers and the wider global community using a wide range of communication technologies
• engage in the process of continuing learning needed to retain and further develop professional and interdisciplinary communications skills and knowledge across the cognitive sciences
• plan and execute a research project, applying relevant methodologies and knowledge
• have developed research skills appropriate to postgraduate research or advanced industrial investigation.