Extensions and Materials

Extensions

Extension requests for final report received before the mid-term break

Request a new due date by emailing the course coordinator before 3 April 2026. Reasonable requests will be considered, including periods where major assessments cluster in the same week.

Extensions for laboratory diaries

Laboratory diaries are due by the end of the lab session. To receive credit for a diary, you must attend the lab unless an absence is approved. There are nine labs, but only your best eight diaries are counted, so one missed diary can occur without penalty.

If you are physically unwell, or you are caring for an unwell dependant, do not attend class. Email the course coordinator as soon as possible so the absence can be recorded. When you are able, upload the diary for that week. If the diary shows serious engagement with the lab content, no late points will be deducted.

If you are unable to attend class or lab for personal or work-related reasons unrelated to health, email the course coordinator before class where possible. Requests are considered case by case, and any alternative submission arrangement is determined by the coordinator.

Extensions for Presentations and Class-Tests

Presentations and class tests are in-class assessments. If you or a dependant is unwell, email the course coordinator and we will arrange a rescheduled in-class assessment.

Late Penalty

This is the standard School of Psychological Sciences policy on lateness penalties.

Late assignments, and assignments with extensions, may be subject to delays in marking and may not receive comprehensive feedback.

Assignments submitted late without an approved extension will incur a grade penalty of 5% of the total marks available for the assignment per day late (i.e., in 24-hr increments), up to a maximum of 5 days (up to 24 hrs late = −5%; up to 48 hrs late = −10%, etc.).

Assignments submitted more than five days late without an approved extension will not be graded unless exceptional circumstances are accepted by the Course Coordinator.

Materials and Equipment

Bring a laptop from week 1. Install R by week 2 for data analysis sessions. You may use RStudio or any other IDE/editor you prefer. Contact the instructor if you lack computer access.

For in-class tests, bring a writing utensil. Electronic devices are not permitted during tests.