Applied Research Project II

The teaching methodology combines an expository approach, aimed at presenting and substantiating the main concepts and content, with
strategies focused on problem solving and carrying out structured and systematic literature research. Debate and analysis of scientific
articles will be encouraged, as well as the use of reference grouping and chronological analysis tools.
Furthermore, the integration of seminars with specialists and researchers in various areas of knowledge will enrich and strengthen learning
within the scope of Information Systems and Technologies. Research work will still be debated in class in order to promote peer review and
constructive criticism of research work in progress.

Main objective:
Plan the investigation, collection, analysis and processing of data and parameters, critical assessment of results, prepare the student to
conclude and communicate the study.
O1. Improve research planning, adjusting methods, hypotheses and schedules.
O2. Collect data and technological parameters in a rigorous and safe way.
O3. Apply analysis tools (Python, Power BI, SPSS, MAXQDA) to explore and interpret data.
O4. Relate results to research questions, identifying contributions and limitations.
O5. Communicate results in a clear and structured way.
Skills to be developed:
C1. Review and adapt research plans to ensure their feasibility.
C2. Implement collection methods with quality and integrity.
C3. Analyze data and models using appropriate technological tools.
C4. Interpret results in a critical and well-founded way.
C5. Prepare scientific reports and presentations with rigor and clarity.

1. Planning Review and Initial Adjustments
1.1- Review the research plan submitted in the Applied Research Project I.
1.2- Adjust research questions, hypotheses, methods or timelines
1.3- Assess the need to update the methodological plan
1,4 – Check the feasibility of collecting data and/or parameters.
2. Collection of Data and/or Technology Parameters or Models
2.1 – Implement planned methods.
2.2 – Guarantee the quality, integrity and security of data/ technological parameterizations or models
2.3 – Document the collection process
3. Analysis Tools
3.1. Data Analysis (Phyton, Power BI, SPSS, MAXQDA)
– Explore data and create analyzes and visualizations
3.2. Analysis of models and technologies
3.3 Relationship with hypotheses or research questions.
4. Interpretation and Discussion of Results
4.1 Interpret the results, compare and identify the implications.
4.2 Contributions of the study and its limitations.
5. Communicate Research

NAO