Research design and skills

lppe1125  2025-2026  Louvain-la-Neuve

Research design and skills
3.00 credits
15.0 h + 15.0 h
Q1
Teacher(s)
Baudewyns Pierre; Camatarri Stefano (compensates Baudewyns Pierre);
Language
English
Main themes
The course will begin by introducing students to the different paradigms of scientific research and reasoning. Then, the course will cover the fundamentals of research design in PPE sciences: how to develop a research question? How to develop theoretical background and empirically testable hypotheses? And finally, how to choose a methodological design (qualitative and/or quantitative data collection and analysis). The course also covers the notion of causality and inference.
Learning outcomes

At the end of this learning unit, the student is able to :

  1. To identify the research paradigm within which their research design fits
  2. To carry out an academic (scientific) reading
  3. To identify theories, hypotheses, and methods used in research
  4. To identify different kinds of data to empirically measure concepts, compare and draw inferences
  5. To identify how to establish causality
  6. To communicate their own research in writing and presenting a paper
 
Content
The course introduces students to the fundamentals of designing and carrying out research in the social sciences. It covers:
  • The objectives and principles of the scientific method
  • Techniques for information search and selection of relevant sources
  • Referencing standards, plagiarism, and the use of artificial intelligence in research
  • Academic reading practices and critical synthesis
  • Formulating and refining a research question
  • Developing a theoretical framework and hypotheses
Applying these skills through practical assignments and a final multiple-choice exam
Teaching methods
The course is primarily lecture-based, supported by detailed PowerPoint presentations. Practical sessions (TP) are integrated, encouraging active learning by applying and exercising the conceptual content covered in class through concrete cases.
Evaluation methods
Student performance is assessed through two components: (i) graded exercises completed during practical sessions, and (ii) a final written multiple-choice exam.
Other information
The use of artificial intelligence during the assessment tests for this course is governed by the rules set out in the faculty memo on this subject, which is available on the faculty intranet site in the information section for students.
Online resources
All resources are provided on the course’s Moodle website.
Bibliography
Un portefeuille de lectures sera communiqué tout au long du cours.
Teaching materials
  • Présentations PowerPoint
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Bachelor in Philosophy, Politics and Economics