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COMP401
Topics in Operating Systems

COMP413
Topics in Computer Networks

COMP414
Carrier and ISP Networks

COMP418
Cyber Security

COMP421
Machine Learning Algorithms

COMP423
Data Stream Mining

COMP424
Interaction Design

COMP426
Engineering Interactive Systems

COMP427
Cloud Computing Technologies and Security

COMP432
Information Visualisation

COMP436
Advanced Graphics and Computer Games

COMP439
Usability Engineering

COMP440
Software Engineering Methodologies

COMP442
Web Search: Technical and Social Issues

COMP443
Information Management

COMP448
Developing Mobile Applications

COMP450
Location-Based Systems as Context-Aware Systems

COMP452
Model Checking

COMP453
Extremely Parallel Programming

COMP455
Bioinformatics

COMP456
Computational Finance

COMP460
Turing Topics

COMP477
Report of an Investigation

2014 Papers
Level 4 Papers >> All Papers
COMP421A Machine Learning Algorithms

15 Points

This paper covers machine learning algorithms such as the ones implemented in the WEKA machine learning workbench, including techniques that deliver state-of-the-art predictive performance.

Pre Requisite Papers
Three 300 level Computer Science papers, including
COMP321 Practical Data Mining or
COMP316 Artificial Intelligence Techniques and Applications

Corresponding Papers
COMP521 Machine Learning Algorithms

Lecturers and Tutors

A Semester

Moodle Link
COMP421 Moodle Page

Timetable
Official Timetable Information

Workload
10 hours per week, with two hours of lectures, and (on average) 8 hours spent working on the assignments and revising lecture notes.

Required Reading
Witten, I.H., Frank, E., and Hall, M. (2014) Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition, Morgan Kaufman.

Computing Resources
Labs 6 and 7 in R block

Assessment Ratio
Internal assessment/final examination ratio 1:0

Grading Schedule
Each of the two assignments is worth 30% of the total marks for the course. Each of the two in-class tests is worth 20% of the total marks.

Assessment Deadlines

Attendance Policy
Slides used in class will be made available on the course web page, and we will closely follow the text book. However, there will be additional explanations given in class that you may find useful.

Academic Integrity
Follow this link for Academic Integrity information.

Performance Impairment
Follow this link for information on Performance Impairment.

Student Concerns and Complaints
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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