STAT448-17S1 (C) Semester One 2017

Big Data

15 points

Details:
Start Date: Monday, 20 February 2017
End Date: Sunday, 25 June 2017
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 3 March 2017
  • Without academic penalty (including no fee refund): Friday, 19 May 2017

Description

STAT448 is suited to anyone with an interest in data, and how it can be used in decision making. In this course we introduce you to big data and some of the techniques you can use to access, explore and investigate it. Students enrolling in this course should be familiar with statistics and with programming.

Big Data refers to the large and often complex datasets generated in the modern world:  data sources such as commercial customer records, internet transactions, environmental monitoring.  This course provides an introduction to the theory and practice of working with Big Data.


For a full list of Honours courses, please refer to the School of Mathematics and Statistics Honours Booklet Mathematics and Statistics Honours Booklet

Learning Outcomes

  • The Courses will:
  • Provide an introduction to what Big Data is, and why it has risen to such importance in science.
  • Introduce terminology and techniques for dealing with Big Data.
  • Describe techniques for exploring Big Data.

    You will be able to:
  • Understand the basic concepts of how and where Big Data arises.
  • Describe data structures and mechanisms for the capture, storage, processing, summary and visualisation of Big Data
  • Implement practical methods for data acquisition and management using appropriate software
  • Understand basic methods of analysis of Big Data, including methods from machine learning for high dimensional data

Prerequisites

Subject to approval of the Head of School

Timetable Note

The course is taught between four NZ Universities (UC, Otago, VUW and Massey). Lectures are on Wednesday 4-6pm in the video-conference room. Please check the dates carefully because you may have lectures in weeks when your other courses are not being taught.

Course Coordinator

Jennifer Brown

Indicative Fees

Domestic fee $888.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

Minimum enrolments

This course will not be offered if less than 1 person applies to enrol.

For further information see Mathematics and Statistics .

All STAT448 Occurrences

  • STAT448-17S1 (C) Semester One 2017
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