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Bachelor of Computer Science (Artificial Intelligence)

My course Course rules 2020 Undergraduate course rules Bachelor of Computer Science (Artificial Intelligence)

Course rules 2020

    Overview Associate degrees, diplomas and undergraduate certificate Bachelor degrees Honours Graduate certificates Graduate diplomas Masters degrees Doctorates

Related Links

     Course information page  Study Planner

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.

  • Admission requirements
  • Course aims
  • Learning outcomes
  • Program of study
  • Combined degrees 

Admission requirements

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).

Course aims

The course has been designed to provide graduates with:

  • a strong foundation in both the theoretical and the practical aspects of computational intelligence
  • an understanding of professional and ethical responsibilities and a commitment to them
  • well developed written and oral communication skills
  • an ability to critically analyse and evaluate information and solve problems
  • an awareness of social, economic, cultural and environmental aspects of cognitive science
  • the ability to work professionally as an individual and as a member of multi-disciplinary teams
  • an understanding of the need to undertake lifelong learning and the capacity to do so
  • preparation for future management roles as a cognitive scientist.

The course provides the foundations that will underpin ongoing professional development, preparing graduates for further study or for a career in a computing related field or in other areas where the range of skills and knowledge acquired is needed or desirable.

Learning outcomes

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.

Program of study

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

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Last Updated: 14 Sep 2020
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