Course overview
In this course, students will complete a medium-scale, industry-inspired, data science project. This project will involve evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem. Working with a real-world, industry-motivated dataset, students will develop their data science skills and knowledge and demonstrate autonomy, initiative and accountability. Students will need to reflect on the nature of their data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management. As part of the course students will deliver a written and oral presentation of their project design, plan, methodologies, and outcomes.
Course learning outcomes
- Comprehensive knowledge and understanding of their subject area
- Ability to engage with different traditions of thought, and to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts
- Ability to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges
- Communication skills to convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals
- Ability to engage in professional behaviour and potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities
- Responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society
- Understanding of, and respect for, Australian Aboriginal values, culture and knowledge
- Well prepared for living, learning and working in a digital society
- Self-aware and reflective; are flexible and resilient and have the capacity to accept and give constructive feedback; act with integrity and take responsibility for actions