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Statistical Machine Learning (COMP90051) // Assessment

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Assessment

Semester 1

DescriptionTimingPercentage

Two projects due around weeks 7 and 11.

  • 65 - 70 hours (of work required)
Hurdle requirement: Yes, To pass the subject, students must obtain a combined mark of at least 25/50 for the projects. 		From Week 7 to Week 1150%

Fortnightly online quizzes, marked based on the best 5 results from 6 quizzes.

  • 15 minutes (each)
Every second week10%

One 2 hour end of semester examination.

  • 2 hours
Hurdle requirement: Yes, To pass the subject, students must obtain a mark of at least 20/40 on the exam. 		End of semester40%

Semester 2

DescriptionTimingPercentage

Project- Invididual project.

  • 25 - 30 hours (of work required)
Hurdle requirement: To pass the subject, students must obtain a combined mark of at least 25/50 for the projects.		From Week 4 to Week 720%

Project- Group project.

  • 40 - 45 hours (of work required)
Hurdle requirement: Yes, To pass the subject, students must obtain a combined mark of at least 25/50 for the projects. 		From Week 8 to Week 1130%

Fortnightly online quizzes, marked based on the best 5 results from 6 quizzes.

  • 15 minutes (each)
Every second week10%

One 2 hour end of semester examination.

  • 2 hours
Hurdle requirement: To pass the subject, students must obtain a mark of at least 20/40 on the exam.		End of semester40%

Last updated: 8 February 2026