STAT442 Big Data
| First Semester |
Main topics
- Sources and characteristics of big data
- Challenges with big data
- Data acquisition, storage and retrieval
- Data management, cleaning and pre-processing
- Data visualisation
- Machine learning methods for high-dimensional data
- Selection bias and multiple testing
Prerequisites
Students should have completed a first year course in statistics (STAT110, STAT115 or BSNS102) and two further papers at 200/300 level which includes experience in quantitative research methods or applied statistics. Students should see the course coordinator for approval.
Course delivery
The course will be delivered by lectures using videoconferencing technology between a number of New Zealand universities.
Lectures
Wednesdays, 4-6pm in Rm 241
Tutorial
One per week at a time to be arranged. Students also have access by email with lecturers at the other universities.
Lecturer and local course coordinator
Dr Matthew Parry, Room 236, Extension 7780
Assessment
Assessment is based on 4 assignments.
Required text
None
Final mark
Your final mark F in the paper will be calculated according to this formula:
F = A
where:
- A is the Assignments mark
and all quantities are expressed as percentages.
Students must abide by the University’s Academic Integrity Policy
Academic endeavours at the University of Otago are built upon an essential commitment to academic integrity.
The two most common forms of academic misconduct are plagiarism and unauthorised collaboration.
Academic misconduct: Plagiarism
Plagiarism is defined as:
- Copying or paraphrasing another person’s work and presenting it as your own.
- Being party to someone else’s plagiarism by letting them copy your work or helping them to copy the work of someone else without acknowledgement.
- Using your own work in another situation, such as for the assessment of a different paper or program, without indicating the source.
- Plagiarism can be unintentional or intentional. Even if it is unintentional, it is still considered to be plagiarism.
All students have a responsibility to be aware of acceptable academic practice in relation to the use of material prepared by others and are expected to take all steps reasonably necessary to ensure no breach of acceptable academic practice occurs. You should also be aware that plagiarism is easy to detect and the University has policies in place to deal with it.
Academic misconduct: Unauthorised Collaboration
Unauthorised Collaboration occurs when you work with, or share work with, others on an assessment which is designed as a task for individuals and in which individual answers are required. This form does not include assessment tasks where students are required or permitted to present their results as collaborative work. Nor does it preclude collaborative effort in research or study for assignments, tests or examinations; but unless it is explicitly stated otherwise, each student’s answers should be in their own words. If you are not sure if collaboration is allowed, check with your lecturer.
