COMP8620 Advanced Topics in Artificial intelligence

Offered By	Research School of Computer Science
Academic Career	Graduate Coursework
Course Subject	Computer Science
Offered in	Second Semester, 2013
Unit Value	6 units
Course Description	This is an advanced graduate course that covers advanced topics in Artificial Intelligence. Topics vary from one offering to the next and are likely to be drawn from the following list: planning, scheduling, games, search, reasoning (constraint-based, model-based, spatial, temporal), knowledge representation, decision-making under uncertainty, reinforcement learning, agents, foundations.
Learning Outcomes	The content of the course will vary at each offering. In general, through this course, students should... Gain both a wide and a deep knowledge of the topic(s) taught in the current instance of the course. Improve their skills at navigating through, and critically examining, the scientific literature on the taught topic(s).
Indicative Assessment	Assignments (45%); Seminar (15%); Final Exam (40%)
Workload	Thirty one-hour lectures
Course Classification(s)	AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. and SpecialistSpecialist courses are designed for students having reached 'first degree' level of assumed knowledge, which provide for the acquisition of specialist skills; or 'second degree' and higher level of knowledge; or for transition to research training programs; or knowledge associated with professional accreditation.
Areas of Interest	Computer Science
Assumed Knowledge and Required Skills	Students are assumed to have solid background knowledge in general computer science (e.g., programming experience; some basic theoretical CS), but no specialist knowledge.
Requisite Statement	COMP6320
Prescribed Texts	Marcus Hutter (2005) Universal Artificial Intelligence, EATCS, Springer. http://www.springer.com/computer/ai/book/978-3-540-22139-5 Shane Legg (2008) Machine Super Intelligence, Lulu, PhD thesis http://www.lulu.com/content/2043514

The information published on the Study at ANU 2013 website applies to the 2013 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2012 website.