Subject: Research Methodologies and Data Analysis

Scientific Area:

Mathematics and Statistics

Workload:

40 Hours

Number of ECTS:

5 ECTS

Language:

Portuguese

Overall objectives:

1 - The initial objective of this subject is to familiarize the student with the research process, namely identifying the research gap, formulating the research question(s) and scientific hypothesis(es), and selecting the methodologies for testing the scientific hypothesis. The aim is to provide students with the fundamental concepts and knowledge of experimental design and statistics in its theoretical, theoretical-practical and computational components, necessary for understanding and developing experiments in science, particularly in agriculture. Additionally, students should be able to obtain and interpret some results generated with software.
2 - Thus, it is intended that the student: a) recognizes the importance of a correct experimental methodology in setting up experiments; b) recognizes the differences between the different techniques of univariate and multivariate analysis; c) can identify the sampling process, as well as the parametric or nonparametric statistic.

Syllabus:

1 - The Research Process
2 - Scientific writing: literature review, critical thinking and the scientific writing process
3 - Descriptive statistics and data exploration
4 - Probabilities
5 - Random variables and main statistical distributions
6 - Sampling theory
7 - Point Estimation and interval estimation
8 - Most common experimental designs in agricultural sciences
9 - Parametric hypothesis tests
10 - Analysis of variance
11 - Nonparametric hypothesis tests
12 - Linear regression and nonlinear regression
13 - Application of multivariate methods: Exploratory data analysis, classification and prediction methodologies

Literature/Sources:

Murteira, B., Ribeiro, C. S., Silva, J. A., Pimenta, C., & Pimenta, F. , 2015 , Introdução à Estatística , Escolar Editora
Montgomery, D.C. , 2013 , Design and analysis of experiments ,
Maroco, J. , 2021 , Análise Estatística com o SPSS ,

Assesssment methods and criteria:

Classification Type: Quantitativa (0-20)

Evaluation Methodology:
The teaching and learning methodologies are articulated with the pedagogical model of the study cycle, with 75% of ECTS in distance learning (30h), and 25% in face-to-face activities (10h). To achieve the objectives and execute the program contents, contact hours are distributed into 16 asynchronous hours (TP), 14 synchronous hours (TP), 4 face-to-face hours (S) and 6 face-to-face hours (TC). The UC program is organized into modules. Monitoring the development of students at the UC will be carried out asynchronously. The assessment of knowledge and skills will always include a component of continuous assessment of student performance and measurement of learning related to the contents of the UC program (30% of the final grade) and another summative component, which will consist of theoretical-practical tests ( 30% of the final grade) for evaluation of the subject contents, and a critical analysis of a Scientific article (40% of the final grade).