DATA401-22S2 (C) Semester Two 2022

Statistics

15 points

Details:
Start Date: Monday, 18 July 2022
End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 31 July 2022
  • Without academic penalty (including no fee refund): Sunday, 2 October 2022

Description

This course covers the development of statistical concepts and their application to complex systems.

This course provides an introduction to data science and lays the foundation for other data science courses. You will be gradually introduced to the R programming language to perform statistical computations.

The emphasis will be on you applying the relevant statistics to problems, selecting sensible techniques, following the methodology and interpreting the results.  Your understanding of the concepts and computer-based solutions is emphasised and applications to commerce, the social sciences, the humanities, science and engineering are considered.

You will cover topics that include data collection, sampling, data analysis, summary statistics, estimation, boot-strapping, statistical distributions, inference (including confidence intervals, hypothesis tests and modelling) and probability.

Learning Outcomes

  • Students that complete DATA401 will have:
  • A solid conceptual understanding of key data science concepts and techniques.
  • The ability and confidence to perform a basic analyses with data, including summarizing data, visualising data and making statistical inferences.
  • Experience using technology to perform data science procedures.
  • A solid statistical foundation for further study in data science.
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Employable, innovative and enterprising

      Students will develop key skills and attributes sought by employers that can be used in a range of applications.

      Engaged with the community

      Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.

      Globally aware

      Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.

Prerequisites

Subject to approval of the Head of School

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 239
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 11:00 - 12:00 Psychology - Sociology 456
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture C
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 Jack Erskine 443
18 Jul - 28 Aug
12 Sep - 23 Oct
Tutorial A
Activity Day Time Location Weeks
01 Thursday 14:00 - 15:00 Rehua 008 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct

Course Coordinator / Lecturer

Jennifer Brown

Lecturer

Trevor Nesbit

Indicative Fees

Domestic fee $969.00

* 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.

For further information see Mathematics and Statistics .

All DATA401 Occurrences