
COMPX305-20B (TGA)
Practical Data Mining
15 Points
Staff
Convenor(s)
Lyn Hunt
8338
G.3.21
lyn.hunt@waikato.ac.nz
|
|
Lecturer(s)
Maisa Daoud
FG.1.01
maisa.daoud@waikato.ac.nz
|
|
Maisa
mtdd1@students.waikato.ac.nz
|
|
Tutor(s)
Librarian(s)
You can contact staff by:
- Calling +64 7 838 4466 select option 1, then enter the extension.
-
Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
- For extensions starting with 4: dial +64 7 838 extension.
- For extensions starting with 5: dial +64 7 858 extension.
- For extensions starting with 9: dial +64 7 837 extension.
- For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
Paper Description
Paper Structure
Labs form a very important part of this paper and it is essential to attend them because they will be marked (apart from the first lab, which is purely introductory). You will have access to the Windows machines in TCBD for the labs.
Lecture attendance is expected. You are responsible for all material covered in classLearning Outcomes
Students who successfully complete the course should be able to:
Assessment
Assessment Components
The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam.
Required and Recommended Readings
Required Readings
Other Resources
Online Support
All information relating to this paper, including your internal assessment marks, will be posted to the Moodle page (elearn.waikato.ac.nz).
All material and lecture recordings will be available online for remote access on Moodle.Workload
Linkages to Other Papers
Prerequisite(s)
Prerequisite papers: (At least one of COMPX101, ENGEN103, COMP103, or ENGG182), (at least one of STATS111, STATS121, STAT111, STAT121), and 30 points at 200 level in Computer Science.
Restriction(s)
Restricted papers: COMP321