COMP6900
20 units
6000 level
Course handbook
Description
The Computing Project course offers students the opportunity to apply and deepen their understanding of concepts, skills, and techniques learned throughout their program, encompassing areas of computer science, IT, data science, and/or cybersecurity. Assessment includes the submission of a project final report and a piece of applied work.
Projects can span a diverse range of topics such as data management, data analysis, cybersecurity strategies, theoretical computer science work, simulations, software development, and other computing solutions. The range of projects can vary from year to year, with a selection of topics, including those in data science and cybersecurity, provided annually. The emphasis is on facilitating student learning in technical and project management skills across these multifaceted domains of computing.
Availability2024 Course Timetables
Online
- Semester 2 - 2024
Learning outcomes
On successful completion of the course students will be able to:
1. Research and critically investigate technical information about computing topics.
2. Apply technical knowledge in computing topics.
3. Integrate and reflect on time and resource management skills to produce more realistic project plans.
4. Formulate and communicate information to scientists, engineers, and other professionals in an organised and professional way.
Content
The Computing Project course will be conducted primarily through project work, guided directly by a member of academic staff. As part of this course, students will be required to:
1. Conduct a literature search to review current knowledge and developments in the chosen technical area, with an emphasis on computer science, IT, data science, and/or cybersecurity.
2. Undertake comprehensive technical work in the selected area, using one or more of the following:
- Data management, processing, and/or analysis specific to both general computing and data science domains.
- Cybersecurity strategies and implementations.
- Theoretical studies in computer science and related fields.
- Computer simulations tailored to real-world scenarios.
- Software development, including security-focused applications.
3. Produce progress reports or maintain a professional journal to document completed tasks and to schedule upcoming work within the specified project timeline.
4. Prepare a detailed report outlining the work undertaken and the results achieved.
5. Deliver a formal presentation and demonstration of the project, showcasing the integration of computer science, IT, data science, and/or cybersecurity principles.
Requisite
Students must be active in the Master of Data Science [40112] to enrol in this course.
Assumed knowledge
It is recommended that COMP6900 be taken in the final term of the program.
Assessment items
Literature Review: Literature Review and Proposal
Report: Mid Project Progress Report
Presentation: Project Presentation
Report: Final Project Report
Contact hours
Semester 2 - 2024 - Online
Lectorial-1
- Online 2 hour(s) per week(s) for 13 week(s) starting in week 1
Course outline
Course outline not yet available.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.