911爆料网

BIOMET 7000WT - Research Methodology and Experimentation

Waite Campus - Semester 2 - 2016

The course information on this page is being finalised for 2016. Please check again before classes commence.

The Statistical Package GENSTAT 5 for Windows is introduced and utilised extensively throughout the course. Revision of basic regression and analysis of variance methodology. A selection of topics from the following: extension of regression (both linear and non linear); design and analysis of complicated multi-factor experiments; Latin squares; analysis of covariance; generalised linear models (including probit analysis and logistic regression); multiple comparisons. As part of the course a selection of case studies will be discussed to illustrate the important steps involved during a research program (ie development of aims, setting of hypotheses, design of the experiment, collection of data, analysis and interpretation of results).

  • General Course Information
    Course Details
    Course Code BIOMET 7000WT
    Course Research Methodology and Experimentation
    Coordinating Unit School of Agriculture, Food and Wine
    Term Semester 2
    Level Postgraduate Coursework
    Location/s Waite Campus
    Units 3
    Contact 5 days during the Mid Semester break
    Available for Study Abroad and Exchange Y
    Prerequisites Completed degree in Agricultural Science or Science
    Assumed Knowledge Biometry or Introductory Statistics
    Assessment Written assignment, final written exam
    Course Staff

    Course Coordinator: Dr Olena Kravchuk

    Course Timetable

    The full timetable of all activities for this course can be accessed from .

  • Learning Outcomes
    Course Learning Outcomes

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    University Graduate Attributes

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  • Learning & Teaching Activities
    Learning & Teaching Modes

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    Workload

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    Learning Activities Summary

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  • Assessment

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    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
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    Assessment Summary

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    Assessment Detail

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    Submission

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    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

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    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at .

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