keyboard_arrow_right
Home
keyboard_arrow_right
Study
keyboard_arrow_right
Academic study options
keyboard_arrow_right
Course Search
Search Courses
Year
2024
Search by Subject
Select a Subject
Accounting
Accounting and Information Systems
Aerospace Engineering
American Studies
Antarctic Studies
Anthropology
Applied Psychology
Architectural Engineering
Art Curatorship
Art History
Art History and Theory
Art Theory
Arts
Astronomy
Audiology
Bicultural Co-Governance
Biochemistry
Bioengineering
Biological Sciences
Biosecurity
Biotechnology
Bridging Programmes
Business
Business (micro-credential)
Business Administration
Business Information Systems
Business Management
CCEL
Cellular and Molecular Biology
Chemical and Process Engineering
Chemical, Natural and Healthcare Product Formulation
Chemistry
Child and Family Psychology
Chinese
Cinema Studies
Civil Engineering
Classics
Communication Disorders
Computational and Applied Mathematical Sciences
Computational and Applied Mathematics
Computer Engineering
Computer Science
Construction Management
Counselling
Criminal Justice
Cultural Studies
Data Science
Digital Arts, Social Sciences and Humanities
Digital Education Futures
Digital Humanities
Digital Screen
Disaster Risk and Resilience
Earthquake Engineering
Ecology
Economics
Education
Electrical and Electronic Engineering
Engineering
Engineering (micro-credential)
Engineering Geology
Engineering Management
Engineering Mathematics
English
Environmental Science
European Studies
European Union Studies
European and European Union Studies
Finance
Finance and Economics
Financial Engineering
Financial Management
Fine Arts
Fire Engineering
Forest Engineering
Forestry
French
Gender Studies
Geographic Information Science
Geography
Geology
German
Graphic Design
Hazard and Disaster Management
Health Education
Health Sciences
Higher Education
History
Human Interface Technology
Human Services
Human-Animal Studies
Indigenous Narrative
Information Systems
Innovation
International Business
International Law and Politics
Japanese
Journalism
Languages and Cultures
Law
Linguistics
Literacy (micro-credential)
Management
Maori Innovation
Maori and Indigenous Studies
Marketing
Mass Communication
Mathematical Physics
Mathematical Sciences Education
Mathematics
Mathematics and Philosophy
Mechanical Engineering
Mechatronics Engineering
Media and Communication
Medical Physics
Microbiology
Moving Image
Music
Natural Resources Engineering
Pacific Studies
Painting
Philosophy
Photography
Physical Activity
Physics
Political Science
Political Science and International Relations
Printmaking
Product Design
Professional Accounting
Professional and Community Engagement
Psychology
Research methods in Sport
Russian
Science
Science Education
Science, Maori and Indigenous Knowledge
Sculpture
Social Work
Social and Environmental Sustainability
Sociology
Software Engineering
Soil Science
Spanish
Speech and Language Pathology
Speech and Language Sciences
Sport Business
Sport Coaching
Sport Science
Statistics
Systems Change
Taxation
Te Reo Maori
Teacher Education
Transitions
Translation and Interpreting
Transportation Engineering
Water Resource Management
Water Science and Management
Writing
Youth and Community Leadership
Year
2024
Use the Tab and Up, Down arrow keys to select menu items.
Sort by
Level - Alphabetic
Level - Numeric
Semester
Subject
Jump to
200-level
DATA203
Data Science Multivariable Methods
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.
Occurrences
DATA203-24S1 (C)
Semester One 2024
Points
15 points
Prerequisites
One of
DATA101
,
STAT101
or
EMTH119
; and one of
MATH102
,
MATH199
or
EMTH118
Restrictions
MATH203
/
EMTH211
STAT201
Applied Statistics
Description
A practical introduction to commonly used statistical methods, designed to increase the breadth of statistics skills. The emphasis is on the application of statistical techniques to solve problems involving real data.
Occurrences
STAT201-24S1 (C)
Semester One 2024
Points
15 points
Prerequisites
STAT101
or
DATA101
or 15 points from 100-level MATH or EMTH (excluding
MATH110
)
Restrictions
FORE210, STAT220,
FORE222
, STAT222
STAT202
Regression Modelling
Description
Regression models are the most widely used statistical tools for examining the relationships among variables. This course will provide a practical introduction to the fundamentals of regression modelling.
Occurrences
STAT202-24S2 (C)
Semester Two 2024
Points
15 points
Prerequisites
STAT101
or
DATA101
or 15 points from 100-level MATH or EMTH (excluding
MATH110
)
Restrictions
FORE210, STAT220,
FORE224
, STAT224
STAT211
Random Processes
Description
This course introduces some of the most useful probability concepts and models that are widely used in biology, medicine, economics, finance, engineering, physics and many other areas. The models that will be covered are Markov chains and Poisson processes.
Occurrences
STAT211-24S1 (C)
Semester One 2024
Points
15 points
Prerequisites
Either a)
MATH199
; or b) 15 points from
MATH102
or
EMTH118
, and another 15 points from 100 level STAT, DATA, MATH, or EMTH (excluding
MATH101
and
MATH110
)
Restrictions
STAT216
STAT213
Statistical Inference
Description
This course provides the theoretical foundations for statistical estimation and testing at an introductory level. These are essential for more advanced studies in statistics at higher levels because they facilitate a deeper understanding of statistical techniques and their applications.
Occurrences
STAT213-24S2 (C)
Semester Two 2024
Points
15 points
Prerequisites
(1) one of
MATH102
,
MATH199
or
EMTH118
; and (2) one of
STAT101
,
DATA101
,
STAT211
,
EMTH119
, or
EMTH210
Restrictions
STAT214
STAT221
Introduction to Statistical Computing Using R
Description
Statistical computing skills are essential within the modern workplace of statisticians and other quantitative/analytical positions. This course will develop and build your skills in computer programming for statistics, using the free statistical computing package R which is one of the most widely used tools for data analysis. The course provides excellent preparation for the many UC statistics courses that use R and, more generally, courses that require quantitative computing skills. The newly developed computing skills will also be used to unleash the power of modern computational statistical techniques for analysing complex real world data.
Occurrences
STAT221-24S2 (C)
Semester Two 2024
Points
15 points
Prerequisites
Either a)
MATH199
; or b) 15 points from
MATH102
or
EMTH118
, and another 15 points from 100 level STAT, DATA, MATH, or EMTH (excluding
MATH101
and
MATH110
)
Restrictions
STAT218