Report

No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved. No submission will be accepted after solutions have been posted.

Online Quiz 1 and 2

No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task, except for cases in which an application for special consideration is made and approved.

Final Exam

For the final exam, you are permitted ONE A4 page of paper containing reference material printed on both sides. The material may be handwritten or typed. The page will not be returned to you at the end of the final examination. No other reference material is allowed.

General Information

It is the responsibility of students to view their marks for each within session assessment on iLearn within 20 working days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment marks (not including the final exam mark) will not be addressed.

Where a Special Consideration application is approved, the student may be offered an alternative assessment, extension of time to submit, or may receive a mark based on the percentage mark achieved by the student in one or more other assessment tasks, at the Unit Convenor’s discretion.

Learning and Teaching Activities

There are 3 hours of face-to-face teaching per week consisting of 1 x 2 hour lecture and 1 x 1 hour tutorial. The schedule of lecture and tutorial class times is available at: http://www.timetables.mq.edu.au

Lectures

Lectures will be held weekly. Lecture notes will be available in the week of the lecture, at the iLearn weekly tabs.

Tutorials

Tutorials will be held weekly, commencing in Week 2. Tutorials are considered compulsory but no marks are allocated.

Tutorial enrolment can be made through eStudent in the first two weeks of the semester. No tutorial changes are allowed after Week 2. Students should check on eStudent for their tutorial room, especially as tutorial room allocations may have been changed since time of enrolment.

Students are expected to complete the ‘Tutorial Questions’ as a self-directed study activity before attending a tutorial. Solutions will be posted after the week in which the questions are discussed. Additional learning support will be available in tutor consultation times, and in PAL sessions. 

Recommended Texts

R for Data Science, Wickham and Grolemund An Introduction to Statistical Learning, James et al. Collaborative Statistics, Illowsky and Dean

Note: these are all open-source textbooks and are available freely and legally online.

Technology Used and Required

Calculator

A calculator will be required during the Final Examination. Note: students are expected to clearly show all steps (working) in their solutions to 'calculation' questions.

Non-programmable calculators with no text-retrieval functionality are permitted. Calculators that have a full alphabet on the keyboard are not permitted. Graphics calculators are not permitted. Calculators need the following minimum functionality: x^y or ^, 1/x and log or ln functions, and a memory. Non-programmable financial calculators are permitted but it is not a requirement to use a financial calculator.

Students are assumed to already be familiar with the basic operation of their calculator prior to the start of this unit. 

Computing

Prior to the start of this unit, students are expected to be familiar at least with the basic operation of their computing device.

Software

This unit does use R in its first portion. Whilst it is not strictly necessary that students have any background using R, it will certainly be beneficial.

Knowledge of Statistics

A background of basic statistics is assumed. Students entering the course should be familiar with concepts such as expected value, variance, and standard deviation.