Design of Experiments and Research Projects
Code: 103972Credits: 3
| Degree programme | Type | Course |
|---|---|---|
| Veterinary Medicine | OP | 5 |
Contact lecturer
- Name :
- Maite Martin Ibañez
- Email :
- maite.martin@uab.cat
Teaching staff
- Joaquín Casellas Vidal
- Genís Martínez Cuentra
Group languages
You can consult this information at the end of the document.
Prerequisites
Have passed at least the first 3 years of the degree. It is recommended that the student review the statistical content taught in Epidemiology and Statistics course (in the second year)
Objectives
The main focus where the whole subject is based is the application of the principle of 3Rs in the design of procedures and their impact on the experimental data obtained. All the factors involved in the experimental design will be tackled step by step: from the approach of the hypothesis to the choice of the experimental model, the impact of animal welfare and the control of the environmental factors, the choice of the experimental design and the appropriate statistical analysis, and finally the dissemination of results.
The specific training objectives are:
1- Understand the national and international legal and regulatory framework in which the research projects are designed and managed.
2- Understand and respond appropriately to the ethical and welfare issues that arise in the procedures in which experimental animals are used.
3- Learn how to design and manage an experimental procedure in order to achieve the established objectives, while guaranteeing compliance with current regulations.
4- Know how to develop the analysis of the data in order to present the results and the corresponding report.
Students who pass this subject may request the corresponding accreditation to develop the D function in the species of veterinary interest (domestic carnivorous, ruminants, equidae, birds, pigs , fish and lagomorphs) to the Directorate General for Environmental and Natural Environment Policies. Veterinary graduates who have also passed the subject "Laboratory Animal Science" may include rodents in the list of species for which they request accreditation for the development of function D
Learning outcomes
- Analyse, synthesise and resolve problems and make decisions.
- Recognise personal limitations and know when to ask for professional advice and help.
- Seek and manage information related with professional activity
- Distinguish the factors that influence the welfare of laboratory animals, both during maintenance and during use in experimental procedures.
- Identify and define the concepts involved in the design of biological experiments and estimate sample size and potency of the test.
- Explain basic statistical inference and its relation with scientific behaviour.
- Apply the main experimental designs to research in different veterinary fields.
- Analyse the relation between variables.
- Use suitable software to resolve different designs, including parametric and non-parametric methods, in accordance with the nature of the data studied.
- Describe applicable legislation on the utilisation of laboratory animals.
- Identify the functions of the Ethical Committee in animal experimentation.
Contents
Topic 1. Introduction to experimental design. Legal requirements and \"3Rs\". Steps to follow to perform the correct design of a procedure. Relation between experimental design and statistics. Consequences of an incorrect experimental design.
Topic 2. Systematic information search. Approach to hypotheses and objectives. Research of alternative methods to the use of laboratory animals (Go3Rs). ARRIVE guidelines for the dissemination of results
Topic 3. Type of variability: fixed variability and random variability. Sources of variability associated with the animal. Types of experimental models. Use and limitations of isogenic strains, not consanguineous and genetically modified.
Topic 4. Sources of variability associated with environmental factors. Importance of animal welfare in design and its effects on results. Application of refinement to guarantee animal welfare. Causes of the appearance of bias and ways to reduce them. Standardization
Topic 5. Identification of the experimental unit. Choice of treatments. Establishment of the experimental groups. Choice of variables to measure. Utility of pilot studies.
Topic 6. Types of experimental designs. Approach and use of complete random designs, random blocks, factorials, Latin squares and repeated measures in the same animal. Choice of design depending on the type of procedure and the factors involved.
Topic 7. Hypothesis test. Contrast of normality. Comparison of two averages: test power and sample size.
Topic 8. Analysis of designs ANOVA: complete random, factorial, random blocks, Latin square, repeated measures. Non-parametric methods.
Topic 9. Association of variables: correlation and regression. Analysis of covariance.
Topic 10. Responsibilities of the research staff regarding the use of animals for experimentation.
Topic 11. Preparation of projects for their evaluation in accordance with ethical principles and current legislation.
PROGRAM OF SEMINARS
Seminar: a teamwork session to design an experimental procedure
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Seminars | 2 | 0.08 | 1, 4, 5, 7 |
| Theoretical-practical sessions | 26 | 1.04 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 |
| Cases resolution | 39 | 1.56 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 |
| Tutorial | 8 | 0.32 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 |
26 hours of theoreticol-practical sessions. In these sessions, students will learn abaout the theoretical concepts that will be applied later in cases to be solved in the classroomt. A 2-hour seminar will be held in which students will have to work as a team to design an experimental procedure, which will subsequently be discussed. Students will have to present three cases or exercises that will be scored and will be used to carry out the assessment. The resolution of each case is associated with 2.5 hours of tutoring that the student can use to resolve doubts, present the work in preparation, obtain advice, etc.
n this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of the development of coursework, provided that the final outcome reflects a significant contribution from the student in terms of analysis and personal reflection. Students must clearly identify which parts have been generated using this technology, specify the tools employed, and include a critical reflection on how these tools have influenced both the process and the final outcome of the activity. Failure to disclose the use of AI will be considered a breach of academic integrity and may result in a penalty to the activity’s grade, or more severe sanctions in serious cases.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Resolution of 3 cases | 100% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 |
This subject/module does not provide for a single assessment system.
The evaluation will be based on the resolution of 3 cases:
1. Design of an experimental procedure: 25% of the final mark
2. An excercise related to the data analysis: 40% of the final mark.
3. Preparation and presentation of an experimental project for its ethical evaluation: 35% of the final grade
Criteria for passing the subject:
1-To pass the subject, at least 20 hours of class attendance is required.
1. In each case, at least 4 must be attained.
2. The final grade is obtained by adding the weighted notes of each one of the cases, and the approved one is placed in the 5.
Re-evaluation (recovery):
1. Each one of the cases in which the mark obtained has been less than 4 must be recovered.
2. The final grade is obtained by adding the weighted notes of the recovered cases (as long as their rating is equal to or greater than 4) with the weighted notes of the cases approved in the first instance.
A student will not be evaluable if he has participated in evaluation activities that are less than 35% of the total.
Any irregularity committed during an assessment activity (academic fraud, plagiarism, or improper use of AI, unless such use is expressly authorized in the course guide) that may lead to a significant alteration of the grade will result in that assessment activity being graded with a 0. If the course guide stipulates that obtaining a minimum grade in that assessment activity is an essential requirement for passing the course, or if multiple irregularities occur in the assessment activities of the same course, the final grade for the course will be 0. In addition, disciplinary proceedings may be initiated against any student who engages in any of these irregularities
Bibliography
M.J. Crawley. 2013. The R book. Wiley, Hoboken N.J. ( electrònic a UAB)
M.F.W. Festing, P. Overend, R. Gaines Das, M. Cortina Borja & M. Berdoy. 2002. The design of animal experiments. Reducing the use of animals in research through better experimental design. Laboratory Aniamls Ltd, London
G.D. Ruxton & N. Colegrave. 2003. Experimental design for the life sciences (second edition). Oxford University Press Inc, New York.
A. Petrie & P. Watson. 2013. Statistics for veterinary and animal science. Wiley-Blackwell, Oxford.
Software
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 1 | Catalan | second semester | morning-mixed |
| (PAUL) Classroom practices | 1 | Catalan | second semester | morning-mixed |