Currículo

Research & Development Seminars RDS-DAB

Contextos

Groupo: Data Analytics for Business > 2º Ciclo > Parte Escolar > Unidades Curriculares Obrigatórias

ECTS

4.0 (para cálculo da média)

Objectivos

This course is designed to provide students with an in-depth understanding of advanced research methods and techniques in business. Through a combination of theoretical discussions, practical exercises, and hands-on experience, students will learn how to design, conduct, analyze, and interpret research studies effectively. Topics covered will include research design, data collection methods, data analysis techniques, and ethical considerations in research. By the end of the course, students will have developed the skills and knowledge necessary to undertake high-quality research projects in their field of study.

Programa

1. Science and Scientific Research: Understanding the nature of science; Principles of scientific inquiry; Differentiating between scientific and non-scientific inquiry. 2. Thinking like a researcher: Developing a research mindset; Critical thinking and problem-solving skills; Formulating research questions and hypotheses. 3. The Research Process: Overview of the research process; Planning and conducting research; Writing research proposals and reports. 4. Theories in Scientific Research: Understanding theories and their role in research; Types of theories in scientific inquiry; Evaluating and applying theories in research. 5. Research Design: Introduction to research design; Types of research designs (e.g., experimental, correlational, qualitative); Designing research studies to address specific research questions. 6. Measurement of Constructs: Conceptualization and operationalization; Developing measurement instruments; Assessing the validity and reliability of measures. 7. Scale Reliability and Validity: Understanding reliability and validity; Methods for assessing reliability and validity; Ensuring the quality of measurement scales. 8. Sampling and Survey Research: Overview of sampling techniques; Designing surveys and questionnaires; Data collection and analysis in survey research. 9. Experimental Research: Principles of experimental research; Designing experiments and controlling for confounding variables; Conducting experiments and analyzing experimental data. 10. Case and Interpretive Research: Understanding case study research; Designing and conducting case studies; Understanding hermeneutics and phenomenology; Analyzing and interpreting qualitative data. 11. Experimental Research: Principles of experimental research; Designing experiments and controlling for confounding variables; Conducting experiments and analyzing experimental data. 12. Data Analysis: Quantitative and Qualitative. 13. Case and Interpretive Research 14. Research Ethics

Método de Avaliação

1.Research assessment 50%): - Collecting Data; - Making sense of the data; - Model Building; - Research Proposal. 2. Exam: mix of multiple choice/short answer (individual) 50%

Carga Horária

Carga Horária de Contacto -

Trabalho Autónomo - 86.0

Carga Total -

Bibliografia

Não foi definida bibliografia principal

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2024/2025 - 2 Semestre

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