Artificial Intelligence - COMPAS8543
Stream Summary
Faculty: Faculty of Engineering
School: School of Computer Science and Engineering
Contact: http://www.cse.unsw.edu.au
Program: 8543 - Information Technology
Award(s):
Master of Information Technology (Specialisation)
View stream information for previous years
Stream Outline
Recent technological advances are bringing robots out of their usual industrial settings and into homes and offices. Mobile robots capable of vacuum cleaning and lawn mowing are already commercially available. As miniaturisation and sophistication increase and costs continue to decrease, it is anticipated that robots will become commonplace. Applications include domestic robots to assist in everyday chores, robots for entertainment or educational purposes as well as robots for automating office and factory tasks. Applications also include assistance for the elderly, in particular, to improve their mobility and level of care.
As autonomous devices become more common, potential employers include companies that can make ready use of automation. This includes companies concerned with home and office automation, entertainment companies and autonomous systems research and development. Autonomous systems and the sophisticated sensors they employ are also adopted in many industries to enhance production and to improve safety (e.g. mining, manufacturing, transport).
The Artificial Intelligence stream in the Graduate Diploma and Master of Information Technology programs focuses on the development of sophisticated software for mobile robot control. Several aspects of software are considered:
As autonomous devices become more common, potential employers include companies that can make ready use of automation. This includes companies concerned with home and office automation, entertainment companies and autonomous systems research and development. Autonomous systems and the sophisticated sensors they employ are also adopted in many industries to enhance production and to improve safety (e.g. mining, manufacturing, transport).
The Artificial Intelligence stream in the Graduate Diploma and Master of Information Technology programs focuses on the development of sophisticated software for mobile robot control. Several aspects of software are considered:
- artificial intelligence;
- agent programming;
- experimental robotics;
- knowledge representation and reasoning;
- machine learning;
- robot architectures;
- human-computer interaction;
- computer vision.
Students must compete 96 UOC in total, including:
Stream Structure
- COMP9021 Principles of Programming (6 UOC)
- COMP9024 Data Structures & Algorithms (6 UOC)
- COMP9311 Database Systems (6 UOC)
- COMP9331 Computer Networks&Applications (6 UOC)
- COMP9414 Artificial Intelligence (6 UOC)
- COMP9900 Info Tech Project (6 UOC)
- GSOE9820 Project Management (6 UOC)
- 18 UOC from the Prescribed Electives (see below)
- 36 UOC more level-4 or higher COMP elective courses
Prescribed Electives:
Advanced Disciplinary Knowledge (ADK) requirement:
- at least 6 of the courses must come from the CSE ADK course list (see below)
Up to 2 of the non-ADK, non-prescribed elective courses can be replaced by level-4 or higher non-CSE courses.
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Advanced Disciplinary Knowledge Courses:
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Advanced Disciplinary Knowledge Courses:
- COMP4121 Advanced & Parallel Algorithms (6 UOC)
- COMP4161 Advanced Verification (6 UOC)
- COMP4418 Knowledge Representation (6 UOC)
- COMP6714 Info Retrieval and Web Search (6 UOC)
- COMP9153 Algorithmic Verification (6 UOC)
- COMP9181 Language-based Software Safety (6 UOC)
- COMP9242 Advanced Operating Systems (6 UOC)
- COMP9243 Distributed Systems (6 UOC)
- COMP9315 Database Systems Implementat'n (6 UOC)
- COMP9318 Data Warehousing & Data Mining (6 UOC)
- COMP9319 Web Data Compression & Search (6 UOC)
- COMP9323 e-Enterprise Project (6 UOC)
- COMP9333 Advanced Computer Networks (6 UOC)
- COMP9334 Systems Capacity Planning (6 UOC)
- COMP9335 Wireless Mesh&Sensor Networks ( UOC)
- COMP9336 Mobile Data Networking (6 UOC)
- COMP9417 Machine Learning & Data Mining (6 UOC)
- COMP9418 Advanced Machine Learning (6 UOC)
- COMP9431 Robotic Software Architecture (6 UOC)
- COMP9441 Security Engineering ( UOC)
- COMP9444 Neural Networks, Deep Learning (6 UOC)
- COMP9517 Computer Vision (6 UOC)
- COMP9596 Research Project (12 UOC)
- COMP9900 Info Tech Project (6 UOC)
- COMP9945 Research Project (18 UOC)
- GSOE9220 Launching a Startup (6 UOC)
Project Option
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
- completed (or have advanced standing in) 72uoc; and
- obtained agreement from a CSE academic supervisor; and
- maintained a distinction level performance in the program.
Project courses:
- COMP9596 Research Project (12 UOC)
- COMP9945 Research Project (18 UOC)
Students who take a research project course will be exempted from COMP9900 - Information Technology Project.
Advanced Standing
Advanced standing is possible in up to 50% of the stream. For details on Advanced Standing and Exemptions, see the 8543 Master of Information Technology program description.
Advanced Standing
Advanced standing is possible in up to 50% of the stream. For details on Advanced Standing and Exemptions, see the 8543 Master of Information Technology program description.
