COMP SCI 3007MELB - Artificial Intelligence
| Career: | Undergraduate |
|---|---|
| Units: | 3 |
| Term: | Semester 1 |
| Campus: | Melbourne |
| Contact: | Up to 2.5 hours per week |
| Restriction: | Available only to University of Adelaide College Melbourne Campus students |
| Available for Study Abroad and Exchange: | |
| 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
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.
| EFTSL | |||
|---|---|---|---|
| 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 |
|---|---|---|---|---|
| Semester 1 | Tue 12/03/2024 | Thu 21/03/2024 | Fri 03/05/2024 | Fri 07/06/2024 |
|
|
Class Details
| Enrolment Class: Lecture | |||||||
|---|---|---|---|---|---|---|---|
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 19432 | LE01 | 24 | 22 | 1 Mar - 5 Apr | Friday | 11am - 12pm | 370 Docklands, 305, Teaching Room |
| 1 Mar - 5 Apr | Friday | 12pm - 1pm | 370 Docklands, 305, Teaching Room | ||||
| 26 Apr - 31 May | Friday | 11am - 12pm | 370 Docklands, 305, Teaching Room | ||||
| 26 Apr - 31 May | Friday | 12pm - 1pm | 370 Docklands, 305, Teaching Room | ||||
| Automatic Enrolment Class: Workshop | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 19433 | WR01 | 24 | 22 | 8 Mar - 8 Mar | Friday | 8am - 9am | 370 Docklands, 304, Computer Suite |
| 22 Mar - 22 Mar | Friday | 8am - 9am | 370 Docklands, 304, Computer Suite | ||||
| 5 Apr - 5 Apr | Friday | 8am - 9am | 370 Docklands, 304, Computer Suite | ||||
| 3 May - 3 May | Friday | 8am - 9am | 370 Docklands, 304, Computer Suite | ||||
| 17 May - 17 May | Friday | 8am - 9am | 370 Docklands, 304, Computer Suite | ||||
|
|