6 ECTS credits
150 h study time
Offer 1 with catalog number 4016190FNR for all students in the 1st semester at a (F) Master - specialised level.
Logistics and mobility are essential aspects of the economy. At the same time, they also induce a lot of external effects such as emissions, climate change, noise nuisance and congestion. This course focuses on how logistics and mobility can be organized in a more sustainable way. Following the framework of the 8A of sustainable mobility and logistics of Professor Macharis, the course presents the most recent research results and trends in the transport sector. The lectures contain the recent advancements in terms of awareness, avoidance, act and shift, anticipation of new technologies, acceleration, actor involvement, adaptation and all in love. Next to the lecture, the WPO’s have the ambition to co-create innovative solutions together with the students to make mobility and logistics more sustainable by means of a hackathon.
Teaching Methods
This description of the teaching methods is indicative, in order to assess the expected study load.
GENERAL COMPETENCIES
The students should be able to understand and use the basic principles of Mobility and Logistics. The objectives are that the students gain insight in and knowledge in the sustainability aspects of this domain.
The class aims also at training softer skills. The student should be able after the class to show a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society. They should also show a critical attitude towards one’s own results and those of others. Finally, they will be able to be more conscious of the ethical, social, environmental and economic context of his/her work and strives for sustainable solutions.
TEAMWORK
In the Hackathon, groups of 4 students will develop a business solution to improve the sustainability of mobility and logistics. By doing so, they will learn to cooperate to achieve a common goal.
PRESENTATION SKILLS
The result of the hackathon will be presented in a written and oral form. The written and oral form should be concise and convincing. The oral presentation in particular will be done through a pitch and a Q&A session in front of a jury.
The final grade is composed based on the following categories:
Written Exam determines 60% of the final mark.
Practical Exam determines 40% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
Within the Practical Exam category, the following assignments need to be completed:
The written exam (60% of the final result) consists of a number of open questions.
The assignment (40% of the final result) is obligatory as it is an essential part of the learning objectives of this course. It takes the form of a seminar of 3 work sessions and involves teamwork. Students need therefore to attend all the sessions in order to fulfill the assignment. After each workshop a premilinary result have to be handed in. Everyone should have done the assignment during the first semester. In case of second session, the grade of the assignment of the first session will be kept.
The partial result of the hackathon, with a result of at least 10/20, will be carried over to the next academic year. Students who still wish to retake the hackathon send an e-mail to the instructor no later than September 30 of the new academic year.
A peer assessment is organised and taken into account for the final grade of the hackaton.
AI Usage Policy for the written assignment:
In this course, students are permitted to use artificial intelligence (AI) tools for spelling and grammar correction to enhance the clarity and coherence of their writing. Additionally, AI may be used to summarize academic papers and generate citations, provided that students verify the accuracy of AI-generated references against original sources. The use of AI for content generation, idea development, or any form of substantive writing assistance beyond these specified purposes is strictly prohibited. Students must ensure that all submitted work reflects their original thoughts and analysis, maintaining academic integrity and the authenticity of their individual contributions.
Students are required to disclose any use of AI in their assignments by including a statement such as: "AI tools were used for spelling and grammar correction, summarizing academic papers, and/or generating citations in this document." Any misuse of AI tools beyond the allowed scope or failure to disclose AI use will be considered a violation of academic policies.
This offer is part of the following study plans:
Master of Business Engineering: Standaard traject (only offered in Dutch)
Master of Business Economics: Standaard traject (only offered in Dutch)
Master of Applied Sciences and Engineering: Applied Computer Science: Standaard traject (only offered in Dutch)
Master of Geography: Standaard traject (only offered in Dutch)
Master in Applied Sciences and Engineering: Applied Computer Science: Standaard traject
Master of Geography: Standard track
Master of Urban Studies: Standard track
Master of Urban Design and Spatial Planning: Traject bachelor zonder master (only offered in Dutch)
Master of Urban Design and Spatial Planning: Standaardtraject (masterdipl.) (only offered in Dutch)
Master of Urban Design and Spatial Planning: Traject geog., arch., urban (only offered in Dutch)
Master of Electromechanical Engineering Technology: elektromechanica met profiel duurzame energie (only offered in Dutch)
Master of Business Engineering: Business and Technology: Standaard traject