DATASCI 792 : Dissertation
2020 Semester Two (1205) (45 POINTS)
Students will work with their supervisor(s) (from Statistics, Computer Science, or both) on a research project in Data Science. By the end of the two semesters, they will write a dissertation (typically 25-50 pages) describing their research. Students whose primary supervisor is in the Statistics department will also present a 15 minute talk on the department's postgraduate talks day.
Capabilities Developed in this Course
|Capability 1:||Disciplinary Knowledge and Practice|
|Capability 2:||Critical Thinking|
|Capability 3:||Solution Seeking|
|Capability 4:||Communication and Engagement|
|Capability 5:||Independence and Integrity|
|Capability 6:||Social and Environmental Responsibilities|
- Demonstrate knowledge of existing work in the research area (Capability 1, 2, 3, 4, 5 and 6)
- Apply data science knowledge and techniques to tackle the problems in the research project (Capability 1, 2 and 3)
- Write a dissertation about the research (Capability 1, 4 and 5)
- Learn new skills/techniques that are needed to carry out the research (Capability 1, 2, 3 and 4)
|Assessment Type||Learning Outcome Addressed|
- Library access and resources
- Internet access (e.g., to published papers potentially behind a paywall)
- Access to a computer for computational work and/or writing
- Additional resources specific to the project (e.g., access to proprietary data)
This is a 45 point project and students should expect to spend about 360 hours on it overall. The nature of that work will vary throughout the project but typically includes reading and practice at the beginning, development and application of data science methods to the research questions in the middle, and writing at the end.
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
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You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.
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This should be done as soon as possible and no later than seven days after the affected test or exam date.
During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.
At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.
Your feedback helps to improve the course and its delivery for all students.
Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.