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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

  • Foundations of Data Science
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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