DATA203-20S1 (C) Semester One 2020

Data Science Multivariable Methods

15 points

Details:
Start Date: Monday, 17 February 2020
End Date: Sunday, 21 June 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 28 February 2020
  • Without academic penalty (including no fee refund): Friday, 8 May 2020

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 another 15pts of MATH or
STAT (excluding MATH101 and MATH110).

Restrictions

Timetable 2020

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 16:00 - 17:00 Rehua 102 17 Feb - 5 Apr
27 Apr - 31 May
Lecture B
Activity Day Time Location Weeks
01 Friday 11:00 - 12:00 A4 Lecture Theatre 17 Feb - 5 Apr
27 Apr - 31 May
Lecture C
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 A5 Lecture Theatre 17 Feb - 5 Apr
27 Apr - 31 May
Tutorial A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Psychology - Sociology 456 17 Feb - 5 Apr
27 Apr - 31 May
02 Thursday 08:00 - 09:00 Jack Erskine 441 17 Feb - 5 Apr
27 Apr - 31 May
03 Thursday 08:00 - 09:00 Ernest Rutherford 460 17 Feb - 5 Apr
27 Apr - 31 May
04 Monday 10:00 - 11:00 A7 17 Feb - 5 Apr
27 Apr - 31 May

Indicative Fees

Domestic fee $777.00

International fee $3,375.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Mathematics and Statistics.

All DATA203 Occurrences

  • DATA203-20S1 (C) Semester One 2020