Show/hide contentOpenClose All
Curricular information is subject to change
Student will have
- Developed an appreciation for the context and impact of data science
- Developed a broad understanding of the main disciplines underlying data science
- Developed presentation skills
Topcis may include:
- Data science utopia - successes of data science
- Data science; privacy and governance
- Data science dystopia - pitfalls and problems with data science
- The future of computer architectures for data science
- The future of algorithms for data science
- Novel applications of data science
Student Effort Type | Hours |
---|---|
Seminar (or Webinar) | 12 |
Autonomous Student Learning | 38 |
Total | 50 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Seminar: Presentation of Seminar | Varies over the Trimester | n/a | Pass/Fail Grade Scale | No | 50 |
Attendance: Attendance and Participation in Seminar Series | Throughout the Trimester | n/a | Pass/Fail Grade Scale | No | 50 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
Not yet recorded.