Information from 2008
COMP3702/COMP7702 Web page
Artificial Intelligence
(Semester 2, 2008)
Course
Coordinator 2008: Janet Wiles.
Lecturers:
Shoaib Sehgal (Email: First dot LastName AT imb "dot" uq "dot" edu
"dot" au)
Ruth
Schulz (FirstName AT itee
"dot" uq "dot" edu "dot" au)
Office Hours: Tuesday 4-5 PM, Room
308, Axon building ITEE
Rationale
This course describes and
discusses several algorithms and techniques within the fields of artificial
intelligence and machine learning that have found theoretical or practical
applicability in software design and engineering. Theoretical and practical
understanding in these areas equips the student with the insights and tools
required for solving complex and difficult problems, and for implementing them
in software. Specific topics include problem solving by search, knowledge
representation and inference, probabilistic reasoning, machine learning and
information retrieval.
This course is aimed at
students with a computer science/engineering background, with an interest in
data structures and computing algorithms, and an aptitude for realising theoretical ideas in software.
Course Profiles: Comp3702
and Comp7702
Material
Russell S. and Norvig P., Artificial
Intelligence: A modern approach, 2nd ed., 2003. Prentice
Hall.
Lecture slides are provided
in a 6-per-page or 2-per-page format (links in the Teaching plan below).
Announcements
Announcements are regularly
updated, to see latest course announcements click here.
Useful Links
Java for C and C++
programmers
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Week Number |
Monday's Date |
Lecture Number |
Lecture Tues
2-4pm |
Russell
and Norvig, 2003 |
Tutorial Session 1.
Tues 12-2pm, 2. Thurs 8-10am, 3. Thurs 12-2pm |
Assessment |
|
Part 1 |
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Note: Maximum
2 persons per group are allowed for tutorial sessions. |
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1 |
21 July |
1 |
Introduction to artificial
intelligence, an agent-based perspective |
Chapters 1, 2 and 26: pp. 947-949, 958-960. |
No tutorial |
|
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2 |
28 July |
2 |
Chapter 3 |
(Available NOW) |
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3 |
4 August |
3 |
Chapter 4 (except 4.4 and 4.5) |
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4 |
11 August |
4 |
Chapter 6 |
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5 |
18 August |
5 |
i- Introduction to Developmental Robotics – (Dr Scott Bolland) ii-
Applications of AI (Dr Shoaib Sehgal) |
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|
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6 |
25 August |
6 |
Mid-semester exam; Discussion of assignment 1, related theory |
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Assignment 1 preparation |
Mid-semester exam (optional) will be multiple choice, 20 questions, 45 mins. (Closed book) (details) |
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7 |
1 September |
7 |
Chapter 13 + 7.1-7.2 |
Feed Back and revision (30 Mins
each on Tute 1-4) |
Assignment 1 deadline (Friday 5th September, 5pm) [Note change of date] |
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8 |
8 September |
8 |
Chapters 18 and 19 |
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9 |
15 September |
9 |
Chapters 18 and 19 |
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10 |
22 September |
10 |
Chapter 20 (20.1-20.2) (20.5) |
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29 September |
Mid-semester break (one week) |
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11 |
6 October |
11 |
Chapter 20 (20.5-onwards) |
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12 |
13 October |
12 |
Chapter 25 |
(solutions/hints) |
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|
Revision Week 13 |
20 October |
13 |
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Assignment 2 deadline (Friday 24th October 5pm) |
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27 October |
Revision Period |
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Exam Week 1 |
3 November |
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Final Exam |
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Exam Week 2 |
10 November |
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Note: The slides are by no means final and subject to change before lecture.
Assessment
COMP3702 will be assessed
by an optional mid-semester exam, a final exam and assignments. Your final
grade (on a 1 to 7 scale) will be determined by combining the marks from the
assessment components below.
- Mid-Semester exam (optional –
10 marks)
- Final examination (best of the
mid-semester or final exam; total exam contribution is 60 marks)
- Two assignments (30 marks)
- Ten tutorials (10 marks)
COMP7702 will be assessed
by an optional mid-semester exam, a final exam and assignments. Your final
grade (on a 1 to 7 scale) will be determined by combining the marks from the
assessment components below.
- Mid-Semester exam (optional –
10 marks)
- Final examination (best of the
mid-semester or final exam; total exam contribution is 60 marks)
- Two assignments (30 marks)
- Ten tutorials (10 marks)
The examination papers for
COMP3702 and COMP7702 are different. Assessment is described in detail in the
course profile.
