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2014 Papers
Level 3
STAT321B Advanced Data Analysis

20 Points

The purpose of this paper is to develop skills in the use of statistical packages for data analysis and modelling. The emphasis is on observational rather than experimental data. The topics covered are regression modelling and its generalisations; cluster analysis; principal components analysis and discriminant analysis.

B Semester

Student Representatives
Hamish Rodger (hrodger18@hotmail.com)

Timetable
Official Timetable Information

Pre Requisite Papers
STAT221 Statistical Data Analysis

Paper Structure
The paper is divided into two main topics: Regression, taught by Steven Miller in in weeks 1 to 6, and Multivariate techniques, taught by Bob Durrant in weeks 7 to 12 [jointly with the students on COMP321].

Attendance Policy
Class attendance is expected. The lecture material, assigned readings and tutorial exercises are all integral parts of the paper. Failure to attend any of these means a student may miss material not presented elsewhere. Students are responsible for all material covered in the paper.

Workload
Students should expect to spend a minimum of about 10 hours per week on this paper. This includes the four contact hours mentioned above.

Assessment Deadlines
Students are required to submit internal assessment items by the required deadlines.

The assignments must be submitted by the required deadline unless prior arrangements have been made for an extension. Assignments that are handed in late without prior arrangement will be penalised. Late assignments will not be marked in detail. We may decide to award dome credit, but there is the possibility of zero marks being awarded for that item of assessment.

Tutorial exercises that are handed in after the require deadline will not be marked unless prior arrangements have been made for an extension.

Extensions will normally only be given in the case of illness, family bereavement or serious personal circumstances.

Grading Schedule
This is comprised of two components, your internal work and your final exam. The internal work : final exam ratio will be 1 : 1. However you must achieve at least 40% in both internal work and final exam to achieve a clear pass.

Internal assessment/final examination ratio 1:1

Assessment Components
Each half of the paper contributes to 50% of the internal assessment. The internal assessment will consist of:
Weeks 1-6 assessment:
2 assignments (30% and one test (20%).
Test: Wednesday 20th August (week 6) 12noon in G.3.33

Weeks 7-12 assessment
5 tutorial exercises (30%) and one assignment (20%).

Required Reading
The material in the lectures may be extended by readings from various sources. These readings are part of the paper and may be assessed.

Computing Resources
Steven will use the R statistical package. Download your own copy of R from http://cran.stat.auckland.ac.nz/. Bob will be using Weka and R. Weka may be downloaded from http://www.cs.waikato.ac.nz/~ml/weka/

Changes in Response to Course Evaluations
The Overall Satisfaction with the Quality of this Paper item in the 2013 student appraisal for STAT321 was 2.0 on a scale from 1 to 5. This was based on 4 responses from the 7 students enrolled, a response rate of 57%.

Very few comments were received regarding the paper, either positive or negative. One student asked that more background to topics not covered in this course but presumed known, could be provided for students coming from different academic pathways. We will try to take this into consideration in 2014.

We take student appraisal information seriously and hope you will consider giving us constructive feedback on what you like and dislike at the end of the course.

Other Information
Noticeboard
The class noticeboard for this paper is located in the corridor outside the Statistics office (G.2.18). Any notices for this paper will be posted there or on Moodle. The internal assessment marks listed by student ID number, will be posted on the noticeboard.

Academic Integrity
Follow this link for Academic Integrity information.

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

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