CSMAX10120B (HAM)
The World of Data
15 Points
Staff
Convenor(s)
Paul Brown
5279
G.3.30
paul.brown@waikato.ac.nz

Chaitanya Joshi
4019
G.3.22
chaitanya.joshi@waikato.ac.nz

Lecturer(s)
Paul Brown
5279
G.3.30
paul.brown@waikato.ac.nz

Administrator(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
This course will focus on some of the fundamental ideas and tools for data analysis and statistics, and will also look at some of the current issues surrounding data. The ideas and skills learnt will be useful for both practical applications and quantitative research.
This paper is designed to provide an appreciation of statistical tools. The emphasis is on interpretation and critical reasoning from
statistical analyses, not on the technical details and mathematics of the analyses themselves. There will be some basic data handling and analyses done using Microsoft Excel. No previous statistical or mathematical knowledge is assumed beyond the numeracy requirements to enter university.
Paper Structure
All lectures are recorded using Panopto and are uploaded onto Moodle for students to view. Three lectures will be uploaded each week.
Supplementary videos (such as Excel instruction videos) will also be uploaded onto Moodle.
Dedicated computer lab times are available for students to use, however these will typically be unsupervised.
Learning Outcomes
Students who successfully complete the course should be able to:
Assessment
A multiple choice quiz will be uploaded onto Moodle every week. These quizzes will start during week 2 and will continue through until week 12. You will generally have one week to complete these, and they will be due at 5pm every Friday.
There will be two tests throughout the course, and will be held in week 6 and week 12. These will be uploaded onto Moodle, and will need to be submitted online through Moodle. Instructions will be given to you before the test commences.
Also, there is one assignment where you will perform some data analyses using Microsoft Excel. This assignment can be done in groups if you choose (maximum of 3 students per group).
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
Recommended Readings
Online Support
All lectures and lecture materials will be provided on Moodle.
Microsoft Excel is needed to perform data analysis tasks, and Microsoft Word will be needed to write the assignment report. Microsoft Office 365 is available and free to all enrolled University of Waikato students. Instructions to download can be found through the following link:
https://www.waikato.ac.nz/ictselfhelp/guides/freemicrosoftofficesuitedownload
Workload
Linkages to Other Papers
For further study in data analysis and statistics (such as STATS221), students should aim for a mark of a B or better in this course.