Organisation and human resources

lfsa2210  2018-2019  Louvain-la-Neuve

Organisation and human resources
3 credits
30.0 h
Cultiaux John;
Main themes
The course must cover three themes : - the human side of organisations (main paradigms); - roles and missions of human resource management; - industrial relations in Belgium and in the European context.

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

1 At the end of the course, students must be able to: - understand the main paradigms that are relevant to analyse the human side of organisations and human resource management; use these paradigms to apply them and interpret a concrete situation, in order to identify, finally, its strengths and weaknesses and propose improvements as a (future) manager; - identify and understand the institutions of industrial relations and understand the role that they play in management in companies.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Summary, content and methods The course combines lectures, group presentations, individual and group research work, conferences by external speakers. It requires students active participation. Content - Introduction, context and perspective of the course, introductory definitions - Human side of organisations, main paradigms - Human resource management - Industrial relations - Conclusion
Other information
Faculty or entity

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

Title of the programme
Master [120] in Data Science Engineering

Master [120] in Electro-mechanical Engineering

Master [120] in Mechanical Engineering

Master [120] in Computer Science and Engineering

Master [120] in Civil Engineering

Master [120] in Electrical Engineering

Master [120] in Physical Engineering

Master [120] in Chemical and Materials Engineering

Master [60] in Computer Science

Master [120] in Biomedical Engineering

Master [120] in Computer Science

Master [120] in Mathematical Engineering

Master [120] in data Science: Information technology