Computer Science (Artificial Intelligence)

The Bachelor of Computer Science (Artificial Intelligence) requires three years of full-time study (or the equivalent part-time).The course is offered by the College of Science and Engineering.The College also offers the Bachelor of Computer Science (Artificial Intelligence) (Honours) - 4 years.

To qualify for the Bachelor of Computer Science (Artificial Intelligence), a student must complete 108 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 108 units for the degree.

Students achieving a credit level average or better at the end of third year will be eligible to commence a Bachelor of Science (Honours) degree program in Computer Science - a separate one-year award focusing on advanced coursework and a research project.

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)

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

Combined degrees

The Bachelor of Computer Science (Artificial Intelligence) 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).

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.