Descriptif
This course will provide an overview of the main concepts and methods in social science research.
We will review the process of the scientific approach, as well as the specific qualitative and quantitative methods of research, including ethnographic methods, interviews, surveys, media analysis, comparative and historical methods, and experimental methods.
Additionally, we will also examine the issues related to social science research, such as the questions of values, objectivity, reactivity, and research ethics.
The main objectives of this course are:
- Provide key concepts and vocabulary related to social science research methods
- Learn how to formulate research questions and articulate a research design using diverse research methods
- Utilize key vocabulary and appropriate concepts through research activities and presentations
Some of the issues that will be discussed in class include:
- Overview of the major concepts for research methods: research design, quantitative methods, qualitative methods
- Advantages and disadvantages of the different research methods
- Issues in social science research: value-free research, research biases, research ethics
Diplôme(s) concerné(s)
- Energy Environment : Science Technology & Management
- Data Science for Business
- Economics, Data Analytics and Corporate Finance
- Internet of Things : Innovation and Management Program (IoT)
- Smart Cities and Urban Policy
- Ecotechnologies for Sustainability & Environment Management
- Cybersecurity : Threats & Defenses
- Artificial Intelligence and Advanced Visual Computing
Parcours de rattachement
- Energy Environment : Science Technology & Management (STEEM) - Graduate Degree 1A
- Energy Environment : Science Technology & Management (STEEM) - Graduate Degree 2A
- Data Science for Business - Graduate Degree 1A
- Economics, Data Analytics and Corporate Finance - Graduate Degree 1A
- Economics, Data Analytics and Corporate Finance - Graduate Degree 2A
- Internet of Things : Innovation and Management Program (IoT) - Graduate Degree 1A
- Internet of Things : Innovation and Management Program (IoT) - Graduate Degree 2A
- Smart Cities and Urban Policy - Graduate Degree 1A
- Ecotechnologies for Sustainability & Environment Management - Graduate Degree 1A
- Cybersecurity : Threats & Defenses - Graduate Degree 1A
- Artificial Intelligence and Advanced Visual Computing - Graduate Degree 1A
- Artificial Intelligence and Advanced Visual Computing - Graduate Degree 2A
Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme Artificial Intelligence and Advanced Visual Computing
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Cybersecurity : Threats & Defenses
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Data Science for Business
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Ecotechnologies for Sustainability & Environment Management
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Economics, Data Analytics and Corporate Finance
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Internet of Things : Innovation and Management Program (IoT)
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Energy Environment : Science Technology & Management
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS
Pour les étudiants du diplôme Smart Cities and Urban Policy
Le rattrapage est autorisé- Crédits ECTS acquis : 3 ECTS