1
COMP SCI 3007 - Artificial Intelligence
University Course Planner The University of Adelaide Australia

COMP SCI 3007 - Artificial Intelligence

Career: Undergraduate
Units: 3
Term: 4010
Campus: North Terrace
Contact: Up to 2.5 hours per week
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: No
Pre-Requisite: One of COMP SCI 1103, COMP SCI 1203, COMP SCI 2009, COMP SCI 2103, COMP SCI 2202 or COMP SCI 2202B
Assumed Knowledge: Mathematics background in probability and statistics as covered in STATS 1000, MATHS 1004, SACE Stage 2 Mathematical Methods, or the online courses (MathTrackX: Probability and MathTrackX: Statistics)
Assessment: Written exam and/or assignments
Syllabus:

This is an introductory course on Artificial Intelligence. The topics may include: AI methodology and fundamentals; intelligent agents; search algorithms; game playing; machine learning; uncertainty and probability theory; probabilistic reasoning in AI; Bayesian networks; decision making, and reinforcement learning. Several assignments will be given to enable the student to gain practical experience in using these techniques.

Course Fees

To display course fees, please select your status and program below:

Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
4010 Mon 16/03/2020 Thu 26/03/2020 Fri 12/06/2020 Not Available


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
13196 LE01 230 44 3 Mar - 7 Apr Tuesday 4pm - 5pm Napier, 102, Lecture Theatre
5 Mar - 9 Apr Thursday 1pm - 2pm Napier, 102, Lecture Theatre
28 Apr - 9 Jun Tuesday 4pm - 5pm Napier, 102, Lecture Theatre
30 Apr - 11 Jun Thursday 1pm - 2pm Napier, 102, Lecture Theatre
Related Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
13725 WR07 33 7 13 Mar - 13 Mar Friday 9am - 10am Barr Smith South, 1062, Teaching Room
27 Mar - 27 Mar Friday 9am - 10am Barr Smith South, 1062, Teaching Room
10 Apr - 10 Apr Friday 9am - 10am Barr Smith South, 1062, Teaching Room
8 May - 8 May Friday 9am - 10am Barr Smith South, 1062, Teaching Room
22 May - 22 May Friday 9am - 10am Barr Smith South, 1062, Teaching Room
15207 WR06 30 7 13 Mar - 13 Mar Friday 1pm - 2pm Engineering Nth, N218, Teaching Room
27 Mar - 27 Mar Friday 1pm - 2pm Engineering Nth, N218, Teaching Room
10 Apr - 10 Apr Friday 1pm - 2pm Engineering Nth, N218, Teaching Room
8 May - 8 May Friday 1pm - 2pm Engineering Nth, N218, Teaching Room
22 May - 22 May Friday 1pm - 2pm Engineering Nth, N218, Teaching Room
15208 WR05 32 7 13 Mar - 13 Mar Friday 10am - 11am Hughes, 113, Teaching Room
27 Mar - 27 Mar Friday 10am - 11am Hughes, 113, Teaching Room
10 Apr - 10 Apr Friday 10am - 11am Hughes, 113, Teaching Room
8 May - 8 May Friday 10am - 11am Hughes, 113, Teaching Room
22 May - 22 May Friday 10am - 11am Hughes, 113, Teaching Room
15209 WR04 32 5 12 Mar - 12 Mar Thursday 12pm - 1pm Napier, 210, Teaching Room
26 Mar - 26 Mar Thursday 12pm - 1pm Napier, 210, Teaching Room
9 Apr - 9 Apr Thursday 12pm - 1pm Napier, 210, Teaching Room
7 May - 7 May Thursday 12pm - 1pm Napier, 210, Teaching Room
21 May - 21 May Thursday 12pm - 1pm Napier, 210, Teaching Room
15210 WR03 34 5 12 Mar - 12 Mar Thursday 9am - 10am Ingkarni Wardli, 218, Teaching Room
26 Mar - 26 Mar Thursday 9am - 10am Ingkarni Wardli, 218, Teaching Room
9 Apr - 9 Apr Thursday 9am - 10am Ingkarni Wardli, 218, Teaching Room
7 May - 7 May Thursday 9am - 10am Ingkarni Wardli, 218, Teaching Room
21 May - 21 May Thursday 9am - 10am Ingkarni Wardli, 218, Teaching Room
15211 WR02 32 5 9 Mar - 9 Mar Monday 2pm - 3pm Horace Lamb, 422, Teaching Room
23 Mar - 23 Mar Monday 2pm - 3pm Horace Lamb, 422, Teaching Room
6 Apr - 6 Apr Monday 2pm - 3pm Horace Lamb, 422, Teaching Room
4 May - 4 May Monday 2pm - 3pm Horace Lamb, 422, Teaching Room
18 May - 18 May Monday 2pm - 3pm Horace Lamb, 422, Teaching Room
15212 WR01 30 1 13 Mar - 13 Mar Friday 12pm - 1pm Engineering Nth, N218, Teaching Room
27 Mar - 27 Mar Friday 12pm - 1pm Engineering Nth, N218, Teaching Room
10 Apr - 10 Apr Friday 12pm - 1pm Engineering Nth, N218, Teaching Room
8 May - 8 May Friday 12pm - 1pm Engineering Nth, N218, Teaching Room
22 May - 22 May Friday 12pm - 1pm Engineering Nth, N218, Teaching Room
19141 WR0R 0 FULL This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details.