The WASP Graduate School provides the students with the skills needed to analyze, develop, and contribute to the interdisciplinary research areas of Artificial Intelligence and Autonomous Systems and Software.
To meet the ambitious goals of the program, the WASP Graduate School offers a wide range of courses, taught by leading researchers. In addition to the mandatory WASP core courses and the traditional disciplinary courses, the curriculum includes WASP-specific project courses to support the creation of new interdisciplinary research projects. These projects also create a meeting point for different research areas.
In the project courses, the graduate students, together with members from different departments and research areas, perform application-oriented and interdisciplinary projects. It is an explicit objective of the WASP Graduate School to encourage the students to create projects connected to research laboratories and demonstrators in WASP.
Another type of course the WASP Graduate School offers is the “multi-perspective course”, a workshop where the participants study important topics from different viewpoints. Two examples of the multi-perspective course are “Planning and optimal control” and “System identification and machine learning”. They let researchers from different areas explore a topic in order to find synergies and to show students, researchers, and engineers, how the areas are related and might be integrated.
The target participants of the courses are industrial and university-based PhD students, postdoc and senior researchers, as well as engineers from industry. Because of the wide range of participants, the WASP Graduate School courses are tailored to the need of the students. Courses are in different formats such as intensive courses, consisting of lectures and seminars over a few days, and blended learning, which combines online material and on-campus lectures.
The national WASP Graduate School helps the students form a strong international academic network through an ambitious program of research visits, partner universities, stints abroad and visiting lecturers. Several occasions are given where PhD students present their work before industry representatives and high-level academic lecturers to provide further opportunities for networking and feedback.
The WASP graduate will meet the following degree outcome:
Knowledge and understanding
• Demonstrate broad knowledge and systematic understanding of the interdisciplinary area of autonomous systems and software development for autonomous systems.
• Demonstrate advanced and up-to-date specialized knowledge in a limited area of this field.
• Demonstrate familiarity with research and engineering methodology in general.
• Demonstrate familiarity with the research and engineering methods of the specific field of research.
• Demonstrate an understanding of the use of and requirements on autonomous systems in industry.
Competence and skills
•Demonstrate the ability to collaborate in multi-disciplinary teams in both academic and industrial settings.
• Demonstrate hands on experience with some aspects of autonomous systems and software development for autonomous systems.
• Demonstrate the ability to handle intellectual property aspects in both academic and industrial settings.
•Demonstrate the ability to communicate to wide both technical and non-technical audiences, including engineers, management and sales.
• Demonstrate the ability to quickly learn new things and develop new skills.
Judgement and approach
• Demonstrate critical thinking, ethical judgment and the societal needs of autonomous systems.
• Demonstrate an understanding of handling intellectual property rights in both academia and industry, including patents and teacher exemption.