DATA203-24S1 (C) Semester One 2024

Data Science Multivariable Methods

15 points

Details:
Start Date: Monday, 19 February 2024
End Date: Sunday, 23 June 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 3 March 2024
  • Without academic penalty (including no fee refund): Sunday, 12 May 2024

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

      • 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.

Prerequisites

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

Restrictions

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 Beatrice Tinsley 111
19 Feb - 31 Mar
22 Apr - 2 Jun
Lecture B
Activity Day Time Location Weeks
01 Thursday 14:00 - 15:00 Ernest Rutherford 141
19 Feb - 31 Mar
29 Apr - 2 Jun
Lecture C
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 Ernest Rutherford 141
19 Feb - 31 Mar
22 Apr - 2 Jun
Tutorial A
Activity Day Time Location Weeks
01 Friday 15:00 - 16:00 Psychology - Sociology 210
19 Feb - 24 Mar
22 Apr - 2 Jun
02 Friday 09:00 - 10:00 Psychology - Sociology 210
19 Feb - 24 Mar
22 Apr - 2 Jun

Examinations, Quizzes and Formal Tests

Test A
Activity Day Time Location Weeks
01 Tuesday 19:00 - 20:00 Online Delivery
6 May - 12 May

Course Coordinator

Blair Robertson

Lecturer

Marco Reale

Indicative Fees

Domestic fee $844.00

International fee $3,950.00

* 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

  • DATA203-24S1 (C) Semester One 2024
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