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ANSC30050

Academic Year 2024/2025

Experimental Design and Data Analysis (ANSC30050)

Subject:
Animal Science
College:
Health & Agricultural Sciences
School:
Agriculture & Food Science
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Assoc Professor Alan Fahey
Trimester:
Spring
Mode of Delivery:
Online
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

The objective of this module is to provide students with a basic working knowledge of experimental design and data analysis with the focus on experiments with farm animals. Emphasis will be placed on designing experiments to make the best possible use of resources; the analysis, interpretation and presentation of experimental results; and the interpretation of results in scientific publications. Students will be exposed to the analysis of experimental data and the presentation of results using Excel and SAS (Statistical Analysis System) software. Topics covered will include: the principles of experimental design (replication, randomization, local control), sources of variation in experiments, blocking, factorial design, assumptions underlying the analysis of variance, comparison of treatment means, multiple range tests, tests of significance and their interpretation.
This module is a 7 week module and will be examined by continuous assements on weeks 3 and 7.

About this Module

Learning Outcomes:

On completion of this module students should be able to: Outline the principles of good experimental design; Design experiments to optimise the use of limited resources; Carry out analyses on a range of experimental results; Interpret and critique methods of analysis and interpretation of results reported in scientific publications

Student Effort Hours:
Student Effort Type Hours
Lectures

35
Autonomous Student Learning

67
Total

102

Approaches to Teaching and Learning:
Module content will be delivered by in class lectures. Students will also be assigned papers to read and have to answer key question in relation to the paper. Student will also be expected to make presentations on statistical topics.

Requirements, Exclusions and Recommendations
Learning Recommendations:

Some prior knowledge of statistics would be desirable.


Module Requisites and Incompatibles
Equivalents:
Exp Design and Data Analysis (ANSC37050)


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): The mid-semester exams will consist of short questions and calculation questions. Questions will examine statistical definitions and concepts and ability to do statical calculations. Week 5 Standard conversion grade scale 40% No
30
 No
Exam (In-person): End of semester exam is in March at UCD Blackrock. The exam will consist of questions that require essay-type answers and complex statistical calculations that will also require results interpretation End of trimester
Duration:
2 hr(s)
 Standard conversion grade scale 40% No
70
 No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Autumn Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Students will be provided group in-class feed back once all students have completed the component.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26 Mon 09:00 - 09:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26 Mon 12:00 - 12:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26 Wed 09:00 - 09:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26 Wed 11:00 - 12:50
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