Module Specification
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Advanced Experimental Design and Analysis
Code LIFE238
Coordinator Dr SJ Cornell
Evolution, Ecology and Behaviour
Stephen.Cornell@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2016-17 Level 5 FHEQ Second Semester 7.5

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
LIFE109 None 

Modules for which this module is a pre-requisite:
 

Co-requisite modules:
 

Linked Modules:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 2

 6

   12

   12

2

 34
Timetable (if known) Introduction to principles of experimental design
  		Refers to interactive seminars and discussions
  		  Refers to data collection and analysis sessions
  		  Refers to timetabled group work
This refers to scheduled times for summative assessments
  		 
Private Study 41
TOTAL HOURS 75

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Written Exam  2 hours  Semester 2  50  Yes  Standard UoL penalty applies  Assessment 1 
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Coursework  500 words (x 3)  Semester 2  30  Yes  Standard UoL penalty applies  Assessment 2 
Coursework  Within practical ses  Semester 2  20  Yes  Standard UoL penalty applies  Assessment 3 Notes (applying to all assessments) Assessment 1 will be a SAQ assessment under examination conditions. Assessment 2 will be the write up for each of the three experiments. Assessment 3 will be based on satisfactory completion of the data analysis in each of the three computer sessions. Full compensation will apply beween all assessment elements 

Aims

  • Raise students’ competence and confidence in formulating and testing hypotheses and choosing the appropriate statistical analyses;

  • Improve student abilities in analysing and interpreting experimental data;

  • Improve student abilities in the design and execution of scientific experiments

    		•

    Learning Outcomes

    Design experiments to answer specific questions/test hypotheses;

    Design the statistical analysis of a given set of data, associated with a specific question/hypothesis;

    Recognise the breadth of statistical tools available;

    Execute experiments to investigate a specific question;

    Analyse data, interpret validity and apply statistical analyses.

    Teaching and Learning Strategies

    Lecture -

    Introduction to principles of experimental design

    Seminar -

    Refers to interactive seminars and discussions

    Laboratory Work -

    Refers to data collection and analysis sessions

    Group Project -

    Refers to timetabled group work

    Assessment -

    This refers to scheduled times for summative assessments

    Syllabus
    1 

    Cycle 1

     
    Comparison of discrete treatments - ANOVA 1-way, 2-way, non parametric equivalents
     
    Cycle 2
     
    Co-relationships and predictive relationships - regression, multiple regression, correlation, non-linear curve fitting
     
    Cycle 3
     
    Categorical and non-normal data - chi-square and Generalised Linear Models

    Recommended Texts
    Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
    Explanation of Reading List: