Computer Science Home | People | Degrees | Papers | Research | Events | Other FCMS Subjects
 
Level 1 Papers

Level 2 Papers

Level 3 Papers

Level 4 Papers

Level 5 Papers

Summer School Papers

Industry Papers

CGRD343
Computer Graphic Design 3

CGRD344
Computer Graphic Design 4

CGRD350
Intern Project

CGRD353
Advanced Studies in Visual Communication

CGRD360
Degree Project

CGRD361
Portfolio Preparation

COMP301
Operating Systems

COMP311
Computer Systems Architecture

COMP312
Communications and Systems Software

COMP313
Programming Languages

COMP314
Software Engineering Project

COMP315
Information Systems Development

COMP316
Artificial Intelligence Techniques and Applications

COMP317
Design and Analysis of Algorithms

COMP321
Practical Data Mining

COMP324
Interactive Multimedia Systems

COMP325
Human-Computer Interaction

COMP329
Database Systems

COMP330
Topics in Computer Science

COMP333
Web Applications Development

COMP336
Graphics and Computer Games

COMP340
Reasoning about Programs

COMP371
Computer Science Placement 1

COMP372
Computer Science Placement 2

COMP390
Directed Study

2013 Papers
Level 3 Papers >> All Papers
COMP316A Artificial Intelligence Techniques and Applications

20 Points

This paper gives an overview of artificial intelligence, including intelligent search, logic-based and probabilistic knowledge representation and reasoning, and machine learning.

Pre Requisite Papers
COMP203 Programming with Data Structures or
COMP241 Software Engineering Development

Lecturers and Tutors

A Semester

Timetable
Official Timetable Information

Workload

This is just a rough guideline, but on average we would expect you to spend 9 hours on reading, thinking, and doing your assignments in addition to lecture time. That's about 12 hours a week.

Required Reading
Russell, S. and Norvig, P., Artificial Intelligence: A Modern Approach, (3rd edition).

Computing Resources
The Linux computers in Lab 6 in R block.

Assessment Ratio
Internal assessment/final examination ratio 2:1 or 1:2, whichever works in your favour.

Assessment Components

An overall mark of 50% is required for a pass, with a minimum of 35% in the final exam.

Grading Schedule

There will be six assignments in total. They will each contribute equally to the internal assessment for the course.

The final exam will be 3 hours.

Assessment Deadlines

Attendance Policy

The textbook and the lecture slides will probably enable you to follow the course. However, there will be additional explanations in class, as well as interaction that you might find useful.

Lecture Outlines

We will closely follow the book

  • Stuart Russell, Peter Norvig, "Artificial Intelligence: A Modern Approach (2nd edition)", Prentice Hall, 2010.

The plan is to cover the following topics:

  • Solving Problems by Searching
  • Informed Search and Exploration
  • Adversarial Search

  • Knowledge Representation & Reasoning

  • Uncertainty
  • Probabilistic Reasoning
  • Making Simple Decisions

  • Learning from Observations
  • Knowledge in Learning
  • Neural Networks
  • Language

Academic Integrity
Follow this link for Academic Integrity information.

Performance Impairment
Follow this link for information on Performance Impairment.

Student Concerns and Complaints
Follow this link for Student Concerns and Complaints information.

Application for Extension
Follow this link for information on applying for an Extension.

Review of Grade
Follow this link for information on applying for a Review of Grade.

University Regulations
Your attention is drawn to the following regulations and policies, which are published in the University Calendar:

  2007 FCMS. The University of Waikato - Te Whare Wananga o Waikato