This course will develop the student’s capacity to make presentations regarding applications of data science to real world problems and give a full seminar which evaluates and critically analyzes such problems and their solutions.
On successful completion of the course, students should be able to:
Evaluate Data Science solutions
Make coherent, effective presentations of impact and quality of data science solutions
Critically assess ethical issues related to specified data science solutions
Assess risks and regulations related to data protection
Performance Measures for Data Science Applications (value systems design)
Presentation Skills & Report Writing
Communication Methods
Case Studies in Data Science
Ethical Issues in Real-World Data Science Applications (Privacy, Confidentiality)
Coursework – 100%
Ethics Presentation (30%)
Critical Analysis Report and Presentation (70%)