University of Waikato homepage

Dr

Jason Kurz

Lecturer

Department of Mathematics

Orcid identifier0000-0002-2273-4684
  • Lecturer
    Department of Mathematics
  • University of Waikato, HAMILTON, New Zealand

TEACHING & SUPERVISION

  • Showing page 1 out of 1
Showing page 1, teaching & supervision 1 to 20 of 20
COURSE TAUGHT
2 Mar 2026 - 28 Jun 2026
This paper introduces students to the R programming language. Analysis of variance, multiple regression, non parametric methods and time series are covered.
COURSE TAUGHT
7 Jul 2025 - 2 Nov 2025
This paper uses R for data analysis and modelling. The topics covered are general linear models, generalised linear models, and statistical learning algorithms.
COURSE TAUGHT
7 Jul 2025 - 2 Nov 2025
Students carry out an independent work-related project on an approved topic under staff supervision.
COURSE TAUGHT
24 Feb 2025 - 22 Jun 2025
This paper focuses on the skills and knowledge for communicating with data. A variety of methods of communicating and presenting data will be covered.
COURSE TAUGHT
24 Feb 2025 - 22 Jun 2025
This paper introduces students to the R programming language. Analysis of variance, multiple regression, non parametric methods and time series are covered.
COURSE TAUGHT
8 Jul 2024 - 3 Nov 2024
This paper uses R for data analysis and modelling. The topics covered are general linear models, generalised linear models, and statistical learning algorithms.
COURSE TAUGHT
26 Feb 2024 - 23 Jun 2024
This paper focuses on the skills and knowledge for communicating with data. A variety of methods of communicating and presenting data will be covered.
COURSE TAUGHT
26 Feb 2024 - 23 Jun 2024
This paper introduces students to the R programming language. Analysis of variance, multiple regression, non parametric methods and time series are covered.
COURSE TAUGHT
3 Jan 2024 - 29 Dec 2024
Students carry out an independent work-related project on an approved topic under staff supervision.
COURSE TAUGHT
10 Jul 2023 - 5 Nov 2023
This paper uses R for data analysis and modelling. The topics covered are general linear models, generalised linear models, and statistical learning algorithms.
COURSE TAUGHT
10 Jul 2023 - 5 Nov 2023
Students have the opportunity to pursue a topic of their own interest under the guidance of academic staff.
COURSE TAUGHT
27 Feb 2023 - 25 Jun 2023
This paper introduces students to the R programming language. Analysis of variance, multiple regression, non parametric methods and time series are covered.
COURSE TAUGHT
27 Feb 2023 - 25 Jun 2023
This paper outlines the principles and practicalities of designing and analysing experiments and surveys, with emphasis on the design.
COMPLETED DOCTORAL SUPERVISION
Mostafa Pasandideh: Machine learning techniques for accurate prediction and improved matching of renewable energy production, storage, and consumption (SGR Supervisor)
8 Apr 2024 - 5 Nov 2025
University of Waikato
COMPLETED DOCTORAL SUPERVISION
Nuwan Weeraratne: Improving finite sample estimates of principal components (SGR Supervisor)
2 Jun 2023 - 6 Aug 2025
University of Waikato
ONGOING DOCTORAL SUPERVISION
Jolene Voogt: Understanding clinical context, exploring ideal bed allocation and evaluating the effect of a new model of care (SGR Supervisor)
10 Sep 2025
University of Waikato
ONGOING DOCTORAL SUPERVISION
Pratibha Pratibha: Effective Degrees of Freedom for k-means in High-Dimensional and Functional Data (SGR Chief Supervisor)
1 May 2025
University of Waikato
ONGOING DOCTORAL SUPERVISION
Sabir Ali: AI-Driven Machine Learning Techniques for Network Training and Its Real-world Applications (SGR Chief Supervisor)
3 Apr 2025
University of Waikato
ONGOING DOCTORAL SUPERVISION
Bert Downs: A Software Platform to Accelerate the Implementation of Process Digital Twins (SGR Supervisor)
1 Jan 2025
University of Waikato
MASTERS SUPERVISION
Applying Deep Learning to NBA Positional Data
University of Waikato