2024
Sampling
Name: Sampling
Code: MAT00902L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
To learn the main aspects on planning and executing a sampling design.
To learn about theory and estimation for commonly used sampling designs.
To identify different areas of application and research directions.
To be able of critically interpreting scientific research based on sampling methods.
To be able of planning, organizing and implementing a survey sampling study.
To be able to use abstraction, writing and oral communication skills.
To be able to use software useful for sampling designs and analyses.
To be able to do individual and team assignments.
To be able to use at least one foreign language.
To learn about theory and estimation for commonly used sampling designs.
To identify different areas of application and research directions.
To be able of critically interpreting scientific research based on sampling methods.
To be able of planning, organizing and implementing a survey sampling study.
To be able to use abstraction, writing and oral communication skills.
To be able to use software useful for sampling designs and analyses.
To be able to do individual and team assignments.
To be able to use at least one foreign language.
Contents
1. Basic notions on sampling and estimation.
2. Main steps about planning a sampling design and selection of sampling units.
3. Methods for data collection in survey sampling.
4. Simple random sampling.
5. Estimation of totals, means, proportions and ratios.
6. Ratio and regression estimation.
7. Stratified sampling.
8. Cluster and multi-step sampling designs.
9. Unequal probability sampling.
2. Main steps about planning a sampling design and selection of sampling units.
3. Methods for data collection in survey sampling.
4. Simple random sampling.
5. Estimation of totals, means, proportions and ratios.
6. Ratio and regression estimation.
7. Stratified sampling.
8. Cluster and multi-step sampling designs.
9. Unequal probability sampling.
Teaching Methods
This unit is organized in theoretical-practical lectures according with the scholar regulation of University of Évora.
A mixture of theoretical and practical lectures on the blackboard and with support of e-learning tools and visual aids.
The introductory concepts are given using real examples of different areas of applications to show the relevance of programmatic contents.
The exercises will focus on solving problem strategies to motivate students and to show the utility of sampling techniques.
Attendance, classroom participation and continued students assessments are encouraged. The evaluation is expected through implementation of one midterms (50%) and a project (50%). The student may opt for the exam evaluation (50%), and the project is mandatory for approval (50%).
A mixture of theoretical and practical lectures on the blackboard and with support of e-learning tools and visual aids.
The introductory concepts are given using real examples of different areas of applications to show the relevance of programmatic contents.
The exercises will focus on solving problem strategies to motivate students and to show the utility of sampling techniques.
Attendance, classroom participation and continued students assessments are encouraged. The evaluation is expected through implementation of one midterms (50%) and a project (50%). The student may opt for the exam evaluation (50%), and the project is mandatory for approval (50%).
