Assessment: Statistical Machine Learning (COMP90051)

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Assessment

Description	Timing	Percentage
Two projects due around weeks 7 and 11. 65-70 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 7 to Week 11	50%
Fortnightly online quizzes, marked based on the best 5 results from 6 quizzes. 15 minutes (each)	Every second week	10%
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 semester	40%

Description

Timing

Percentage

Two projects due around weeks 7 and 11.

Hurdle requirement: To pass the subject, students must obtain a combined mark of at least 25/50 for the projects.

From Week 7 to Week 11

50%

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

Every second week

10%

One 2 hour end of semester examination.

Hurdle requirement: To pass the subject, students must obtain a mark of at least 20/40 on the exam.

End of semester

40%

Assessment for this subject addresses both Intended Learning Outcomes (ILOs)

Last updated: 8 February 2026