BIOL503-18A (HAM)

Data Analysis and Experimental Design

15 Points

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Faculty of Science and Engineering
Te Mātauranga Pūtaiao me te Pūkaha
School of Science

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

Placement Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: cheryl.ward@waikato.ac.nz
: debby.dada@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5 or 9 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
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Paper Description

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This paper will cover aspects of research design for experiments, and methods for analysis of ecological data using univariate and multivariate statistical techniques.


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Paper Structure

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This course is taught through computer laboratories on Thursday 9.00-11.00am in R1.22.


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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Use various univariate and multivariate statistical techniques, including regression, t-tests, ANOVA, cluster analysis and multidimensional scaling, interpret their results, and understand under what circumstances each method is appropriate
    Linked to the following assessments:
  • The overarching objective is to learn and understand techniques for analysing and interpreting biological data.

    You will learn methods that will allow you to elucidate patterns in population and community data, and explore relationships between populations or communities and underlying environmental gradients. A major objective will be to learn the circumstances where each technique is appropriate.


    Linked to the following assessments:
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Assessment

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The assessment in this course is all through assignments. You will complete five assignments which will be handed in during class time, adding up to 50% of the course weighting, and have a final assignment worth 50%. The final assignment should be treated as a 'take home test', and worked on independently of others. The dates indicated for assessment procedures will normally be adhered to. Any changes to the dates will be made in consultation with the class at least one week prior to the original date. Individuals handing in work late must gain approval from the appropriate lecturer otherwise they may be penalised.
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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Univariate Assignment 1
15 Mar 2018
No set time
7
  • Hand-in: In Lab
2. Univariate Assignment 2
22 Mar 2018
No set time
7
  • Hand-in: In Lab
3. Univariate Assignment 3
5 Apr 2018
No set time
14
  • Hand-in: In Lab
4. Multivariate Assignment 1
12 Apr 2018
No set time
7
  • Hand-in: Faculty Information (FG Link)
5. Multivariate Assignment 2
17 May 2018
No set time
15
  • Hand-in: In Lab
6. Major Assignment
1 Jun 2018
12:00 PM
50
  • Hand-in: Faculty Information (FG Link)
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Recommended Readings

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Quinn, G. P. and M. J. Keough. 2002. Experimental design and data analysis for biologists. Cambridge, UK, Cambridge University Press.
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Online Support

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This paper has a Moodle page (http://elearn.waikato.ac.nz) where you will be able to access pdfs of lecture notes and Powerpoints, lecture recordings, and assessment materials. There are also discussion forums where you can both ask and answer questions.

PLEASE NOTE: Moodle will be used for class notices etc and it is your responsibility to check the site regularly. Instructions provided on Moodle and in lectures are considered to be given to the class as a whole.


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Workload

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Nine scheduled seminars, each up to two hours, and six assignments. The assignments will be undertaken independently, and outside of classes, and should take approximately 8 hours per seminar associated with each. Around 24 hours should be spent on the major assignment.


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Linkages to Other Papers

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Prerequisite(s)

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: BIOL501

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