DATA203-21S1 (C) Semester One 2021

Data Science Multivariable Methods

15 points

Details:
Start Date: Monday, 22 February 2021
End Date: Sunday, 27 June 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 7 March 2021
  • Without academic penalty (including no fee refund): Friday, 14 May 2021

Description

This course develops foundations for data science techniques. The focus of this course is on applications to modern data processing problems. Students will be introduced to multivariate statistical, linear algebra and calculus topics that are needed in data science and related subjects.

Pre-requisites

MATH102 and (either STAT101 or
DATA101)

Restrictions

Timetable 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 10:00 - 11:00 Ernest Rutherford 225
22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture B
Activity Day Time Location Weeks
01 Monday 11:00 - 12:00 Ernest Rutherford 225
22 Feb - 4 Apr
3 May - 6 Jun
Lecture C
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 Beatrice Tinsley 112
22 Feb - 4 Apr
26 Apr - 6 Jun
Tutorial A
Activity Day Time Location Weeks
01 Thursday 10:00 - 11:00 Jack Erskine 241
22 Feb - 4 Apr
26 Apr - 6 Jun
02 Tuesday 13:00 - 14:00 Psychology - Sociology 411
22 Feb - 4 Apr
26 Apr - 6 Jun

Course Coordinator / Lecturer

Christopher Price

Indicative Fees

Domestic fee $785.00

International fee $3,500.00

* 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 DATA203 Occurrences

  • DATA203-21S1 (C) Semester One 2021