Experiment Design and Analysis (6542.4)
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|0.125||3||Faculty Of Education, Science, Technology & Maths|
|Discipline||Study level||HECS Bands|
|Academic Program Area - Maths & Technology||Level 3 - Undergraduate Advanced Unit|| Band 1 2021 (Commenced After 1 Jan 2021)
Band 1 2021 (Commenced Before 1 Jan 2021)
Learning outcomes1. A student will be expected to be able to determine the information that is required to produce an efficient design for a statistical experiment; and
2. construct an efficient design for a statistical experiment in such a way that an independent investigator would be clear about the procedure to be followed.
Graduate attributes1. UC graduates are professional - communicate effectively
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
PrerequisitesIntroduction to Statistics
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D.C. Montgomery "Design and Analysis of Experiments". Wiley.
Submission of assessment items
Extensions & Late submissions
Students will be asked to confirm the following online declaration at the point of submission. I certify that:
• the attached assignment is my own work and no part of this work has been written for me by any other person except where such collaboration has been authorised by the lecturer/s concerned;
• material drawn from other sources has been fully acknowledged as to author/creator, source and other bibliographic details according to unit-specific requirements for referencing; and
• no part of this work has been submitted for assessment in any other unit in this or another Faculty except where authorised by the lecturer/s concerned.
Late submission of assignments
Late submission of assignments without an approved extension will result in the assignment not being marked and zero being recorded for that particular assignment. In extenuating circumstances a late submission may be considered upon the production of supporting documentation and at the discretion of the unit convener.
Extensions: Extensions must be applied for before the due date
Students can apply for an extension to the submission due date for an assessment item on the grounds of illness or other unavoidable and verifiable personal circumstances. Documentary evidence will be expected for an extension to be granted.
It should be noted that such documentation will be considered but will not guarantee that the application will be successful. The Unit Convener will decide whether to grant an extension and the length of the extension.
In the event a student misses the end of semester examination due to illness or other exceptional circumstances, the procedures outlined on http://www.canberra.edu.au/student-services/examinations/alternative-exams must be followed (including submitting the online deferred application form within 3 days of scheduled exam to the Examinations Office).
Special assessment requirements
An aggregated mark of 50% is required to pass the unit.
The unit convener reserves the right to question students orally on any of their submitted work.
Supplementary assessment will usually only be offered to students who have failed a single unit in their final semester with a final mark between 45-49% and the unit is required for course completion.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Your grade will be determined on the basis of a composite score obtained by using the weightings shown above. This composite score will then be scaled to a numerical grade consistent with the descriptors:
High Distinction (HD)
Feedback on all assessment items will be provided in a timely and constructive manner.
The breakdown of workload for this unit is approximately as follows. About 30 hours are spent in class, with about 60 hours expected for preparation before, and revision after, each of those hours. The in-class test and final exam should require about 20 hours of revision each. The assignment should take up the remaining 20 hours.
Your participation in both class and online activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items.
Required IT skills
Some familiarity with basic computer use is assumed.
Purchase of the textbook and some printing costs are possible. You will be expected to have or to purchase a basic scientific calculator.
Work placement, internships or practicums
Foundation of Unit
Theoretical foundations: this unit rests entirely on quantitative methods.
Research led education: active researchers lecture and tutor in this unit. They will be able to engage you in deep and active learning and will transmit their passion for the research, using statistics, that they are carrying out, to you. The tests will assist you to develop your quantitative research skills as you apply methods to data of the lecturer's choosing.
Provision of information to the group
Notifications through the Moodle Announcements Forum or the Moodle Discussion Forums are deemed to be made to the whole class. It is the responsibility of the student to ensure that they check for announcements on the Unit's Moodle website (Moodle forum messages are also emailed to student email addresses only). Students should ensure they check their student email regularly. The Moodle discussion forums will be checked by staff regularly.
Use of student email account
The University Email policy states that "students wishing to contact the University via email regarding administrative or academic matters need to send the email from the University account for identity verification purposes". Therefore all unit enquiries should be emailed using a student university email account. Students should contact firstname.lastname@example.org if they have any issues accessing their university email account.
In all cases of absence, sickness or personal problems it is the student's responsibility to ensure that the unit Convener is informed. The minimum participation requirement must be met in order to pass the unit (regardless of supporting documentation).