Papers
 
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Level 5 Papers

Summer School Papers

Industry Papers

CGRD551
Studio Management

CGRD581
Report of an Investigation

COMP501
Topics in Operating Systems

COMP513
Topics in Computer Networks

COMP521
Machine Learning Algorithms

COMP523
Data Stream Mining

COMP539
Usability Engineering

COMP542
Web Search: Technical and Social Issues

COMP548
Developing Mobile Applications

COMP550
Location-Based Systems as Context-Aware Systems

COMP552
Model Checking

COMP553
Extremely Parallel Programming

COMP560
Turing Topics

ENEL517
Mechatronics

ENGG501
Control Theory and Image Processing

2014 Papers
Level 5 Papers >> A Semester
COMP521A 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
COMP421 Machine Learning Algorithms

Lecturers and Tutors

A Semester

    Lecturer(s)

Moodle Link
COMP521 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 reviewing material.

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
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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