| DIT 45606 | 45 |
This course is intended to allow inclusion of emerging issues, trends, and technology advancements in the rapidly evolving field of data science. The course includes establishing a fundamental awareness and understanding of the role ethics, legislation, and bias play in modern data science and the exploration of new and emerging technologies and techniques.
Prerequisites
Outcomes
On completion of this course, students will be able to:
- Discuss emerging trends and technology innovations within the field of data science
- Develop illustrative prototypes using new or emerging data science techniques or technologies
- Explain privacy legislation and its application to data science
- Apply ethical considerations in the design and implementation of data science solutions
- Explain the impact and consequences of bias in the design and construction of algorithms used in data science
- Conduct bias analysis to detect the existence and impact of bias within a model or algorithm
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