DATA203-23S1 (C) Semester One 2023

Data Science Multivariable Methods

15 points

Details:
Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023

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.

Learning Outcomes

  • be familiar with standard techniques in linear algebra relevant to data science
  • be proficient with multivariate calculus techniques in probability
  • develop problem solving skills including via software
  • develop communication skills

Prerequisites

One of DATA101, STAT101 or EMTH119; and one of MATH102, MATH199 or EMTH118

Restrictions

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 Jack Erskine 340
20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture B
Activity Day Time Location Weeks
01 Wednesday 12:00 - 13:00 Rehua 003 Music
20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture C
Activity Day Time Location Weeks
01 Thursday 09:00 - 10:00 Meremere 526
20 Feb - 2 Apr
24 Apr - 4 Jun
Tutorial A
Activity Day Time Location Weeks
01 Tuesday 11:00 - 12:00 Psychology - Sociology 411
20 Feb - 2 Apr
24 Apr - 4 Jun
02 Monday 13:00 - 14:00 Psychology - Sociology 411
20 Feb - 2 Apr
24 Apr - 4 Jun
03 Monday 12:00 - 13:00 Psychology - Sociology 411
20 Feb - 2 Apr
24 Apr - 4 Jun

Course Coordinator

Christopher Price

Indicative Fees

Domestic fee $821.00

International fee $3,750.00

* 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

  • DATA203-23S1 (C) Semester One 2023
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