Assessments

The way that assessments should be undertaken is given in Assessments.

This is a list of the assessment details:

• Unit Name: Data Science Toolbox
• Unit Code: MATHM0029
• Formative Assessments (that do not contribute to grade):
  • Assessment 0 (Semester 1)
  • Portfolio 0 (Semester 1)
• Summative Assessments: total 60% (each 20%)
  • Assessment 1: Supervised Prediction (Semester 1)
  • Assessment 2: Text as Data (Semester 2)
  • Assessment 3: Data at Scale (Semester 2)
• Individual Portfolios: total 40% (each 20%)
  • Individual Portfolio A: Statistical Machine Learning (Semester 1)
  • Individual Portfolio B: Data Science and Engineering (Semester 2)

Note that additional information about the replicability of packages is at Appendix 3: Replicability, and there is a complete Example Assessment.

See the Timetable for deadlines.