1. Module I: Introduction to research
1.1. Definition
1.2. The scientific method
1.3. Qualitative and quantitative approaches
1.4. Research designs
1.5. The data life cycle
2. Module II: Tipology, search, and evaluation of secondary data
2.1. Concept
2.2. Sources of secondary data
2.3. Where to find secondary data?
2.4. Open Science and ethical aspects
2.5. Critical analysis of secondary data
3. Module III: Introduction to data analysis
3.1. Introduction to Statistics
3.2. Types of variables and structure of a dataset
3.3. Univariate descriptive analysis with Jamovi
4. Practical skills
4.1. Literature search
4.2. Plagiarism, citation, and reference management with Zotero
4.3. Critical analysis of information sources
4.4. How (not) to lie with charts
4.5. Academic writing and communication resources
A minimum score of 4/10 in the final exam and an overall mark (based on a weighted average of all evaluation tasks) of minimum 5/10.
For those not reaching a 4/10 in the final exam or a 5/10 in the overall mark, there will be a resit examination. Attending the final exam is a requirement to take the resit examination.
Specific criteria for the "No show" grade:
Those students not attending the final exam will be graded as "Not Presented". Attending the final exam is a requieremend to take the resit examination.
Single Assessment:
Overall mark based on a final exam, including written part (50%) and practical part (50%), which will evaluate literacy skills and the use of secondary data platforms and statistical software. A minimum final mark of 4/10 is required and there will be a resit examination. Attending the final exam is a requirement to take the resit examination.
Minimum requirements to pass:
A mininum score of 4/10 in the final exam and weighted average of all evaluation tasks of minimum 5/10.