DATA203-22S1 (C) Semester One 2022

Data Science Multivariable Methods

15 points

Details:
Start Date: Monday, 21 February 2022
End Date: Sunday, 26 June 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 6 March 2022
  • Without academic penalty (including no fee refund): Sunday, 15 May 2022

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

DRAFT TIMETABLE:

Please note that the timetable has not been finalised.

Scheduled days and times will be confirmed, following review, on 5th November.

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 15:00 - 16:00 Meremere 105 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 F1 Lectorial
21 Feb - 10 Apr
2 May - 5 Jun
Lecture C
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 Meremere 105 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
Tutorial A
Activity Day Time Location Weeks
01 Monday 11:00 - 12:00 Psychology - Sociology 411
21 Feb - 10 Apr
2 May - 5 Jun
02 Tuesday 09:00 - 10:00 Psychology - Sociology 411
21 Feb - 10 Apr
2 May - 5 Jun
03 Friday 09:00 - 10:00 Jack Erskine 241
21 Feb - 10 Apr
2 May - 5 Jun

Course Coordinator / Lecturer

Christopher Price

Indicative Fees

Domestic fee $799.00

International fee $3,600.00

* 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

  • DATA203-22S1 (C) Semester One 2022