最新糖心Vlog

The course is timetabled on Fridays, 6 contact hours that equate generally to 2hrs of lectures/discussions, 2hrs of tutorials/data collection and 2 hrs of computer practicals. The order and format of activities are flexible, and it is expected that students are attending the whole day.
Consultation hours are negotiated with the class in the first week of the semester.

This course aims to help students see the ‘big picture’ of statistical reasoning in agriculture research, where research is taken in a sense much broader than academic research. Working through the course reader, currently based on the text by a famous statistics presenter Bryan Manly, supported with the working examples and case-studies presented in lectures, and applying the principles to simple hands-on problems  in general and agriculturual contexts, working independently and in groups, students will develop:

1	Understanding of principles and typical designs for data collection in sampling and surveys
2	Understanding of principles and typical designs of proper, controlled, experiments
3	Understanding of principles and typical designs of quasi, semi-controlled, experiments
4	Skills in applying this knowledge in practice to research inquiry
5	Skills in designing small-scale research studies and interpreting the results statistically
6	Understanding of the place of statistics in the ethical considerations and overall design of experimentation
7	Good working knowledge of GenStat as the package of choice

GenStat current release, available on the Waite campus and can be downloaded on personal computers of students enrolled in the course.

‘The design and analysis of research studies’, by Bryan F.J. Manly, Cambridge Press, 2001. The book is available from the 最新糖心Vlog of Adelaide Library at Waite, but it is highly recommended that the students acquire their own copy to follow the weekly readings for the course and to use this book as a useful research resource afterwards.

Additional reading and lecture notes are available on MyUni. From 2016, the course reader is also available for download from MyUni.

To revise the introductory statistics presented in a very relevant manner, the book by Alan G. Clewer and David H. Scarisbrick, Practical Statistics and Experimental Design for Plant and Crop Science, Wiley, 2001, is highly recommended (first five chapters in particular)

MyUni: Teaching materials and course documentation will be posted on the MyUni website ().

The course is designed to provide students with a broad overview of design and analysis methods for various types of research study. Lectures present the theory, computer tutorials give skills for handling design and analysis in GenStat, and laboratory practicals allow students to design, set up and conduct small-scale studies relevant to the topics discussed in the lectures and demonstrated in the computer practicals

A student enrolled in a 3 unit course, such as this, should expect to spend, on average 12 hours per week on the studies required. This includes both the formal contact time required to the course (e.g., lectures and practicals), as well as non-contact time (e.g., reading and revision).

To follow the course successfully, students will need to come to the class prepared with their weekly reading tasks.
Learning activities include lectures, computer tutorials for GenStat and problem solving practicals. Every week, all three types of activities are aligned to the common topic.

The course covers the following topics:

Types of research studies in agriculture research in 最新糖心Vlog
Sample survey
Spatial sampling
Regression models
Treatment-based experimental designs
Time series designs
Typical randomized designs in agriculture studies
General linear models
Generalized linear models
Computation-intensive statistical inference
Ethical considerations in research study designs
Synthesis: carrying out a research study

An emphasis is placed in the course on the development of students' self-learning and team-working skills. Students are encouraged to work in small groups on research studies designs; the course project is based on group-work.

Attendance of contact hours is highly recommended, as all the activities are important for self-learning and team-working. Attendance will be recorded. Students are advised to contact the course staff in advance, if possible, if they are not able to attend certain days, and take the advantage of one-to-one consultations to discuss the material missing.

There are two projects during the course, in which students are encouraged to contact their lecturers in special topic courses or research staff for the ideas and/or experimental data. The projects are about designing surveys and controlled experiments.

The assessment is continuing throughout the semester and consists of
individual student reports, a group mini-lecture and a group project report and
presentation. The schedule and weighting of the assessment is given on MyUni
site.

Technical reports assess the student’s ability to design small-scale
research studies of various types and complete the analyses in GenStat.

Mini-lecture assesses the students’ ability to study new material in
statistics with limited supervision and to present the material to the
non-professional audience in a clear and engaging way.

Group project report and presentation assess the students’ ability to
synthesis the material learned in the course and design, conduct and analyse a
small-scale scientific investigation with limited supervision and communicate
the results of the analysis.

Assessment Task	Task Type	Due	Weighting	Hurdle	Learning Outcome
Individual statistical computing reports	Formative & Summative		30%	No	1-4, 7
Individual workbook solutions	Formative & Summative		30%	No	1-5
Group mini-lecture	Summative		10%	No	1-4
Group research project	Summative		30%	No	1-7

Assessment task	Type of assessment	Percentage of total assessment for grading purposes	Hurdle (Yes/No)	Outcomes being assessed
Individual statistical computing reports	Formative/Summative	30%	No	1-4, 7
Individual workbook solutions	Formative/Summative	30%	No	1-5
Group mini-lecture	Summative	10%	No	1-4
Group research project	Summative	30%	No	1-7

It is compulsory to attempt all the assessment. Group assignments will be weighted in accordance to students’ participation and effort. Students have to negotiate themselves the equal load for the group assignments. All individual reports are strictly individual assignments.

Statistical computing reports: Six GenStat practical reports will be handed in fortnightly. Prompt written feedback will be provided.

Workbook solutions: Six problem sets will be handed in fortnightly alternating with practical reports. The problem sets will complement the case-study analyses in practical reports. Prompt written feedback will be provided.

Group mini-lecture: Students are expected to come to class having read the material assigned for each week. In this assignment, students will be assessed based on answers to the questions that will form the foundation of class discussion on the sampling strategies and analyses. Peer feedback will be promptly provided.

Design and analysis of a research case-study: Students will design their research study, conduct it and present the design and analysis to the class.

 

Submissions of all assignments are strictly on the MyUni site only. Prompt feedback is guaranteed. For formative assignments, students will be given an opportunity to respond to the feedback in writing with the aim of improving their understanding.

Late submission of assessments
Late submissions are not negotiable for the group assignments.

If an extension is not applied for, or not granted then a penalty for late submission will apply. Penalty of 10% of the value of the assignment for each calendar day that the assignment is late (i.e. weekends count as 2 days), up to a maximum of 50% of the available marks will be applied. This means that an assignment that is 5 days late or more without an approved extension can only receive a maximum of 50% of the marks available for that assignment.