PENG9590 Advanced Topics in Robotics and Control Emneplan

The course covers topics selected for their particular relevance to the students' intended doctoral thesis. The material for the course is composed in collaboration with the thesis supervisor, and the course proceeds as a self-study under expert supervision. The course is completed by student giving a seminar on a particular topic within the scope of the course material.

Recommended previous experience: Master’s degree in robotics and control, or related field. Basic mathematical knowledge in calculus, mechanics, linear algebra, statistics, probability theory, and programming.

The course will be offered once a year, provided 3 or more students sign up for the course. If less than 3 students sign up for a course, the course will be cancelled for that year.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student:

• is capable of explaining the necessity of differentiating between goals and measures
• is capable of explaining goal hierarchies and the criteria for prioritising goals
• is capable of explaining and giving grounds for various forms of single-subject designs (N=1 design)
• has knowledge of evaluation criteria and methods
• is capable of explaining various parties’ responsibilities in a satisfactory planning process

Skills

The student is capable of:

• carrying out a satisfactory planning and goal setting process, emphasising the user’s wishes and self-determination
• explaining and discussing ethical issues relating to planning of measures
• operationalising general goals to specific goals
• describing and implementing consequence analyses in training or care work
• proposing, giving grounds for and implementing a choice of design based on information about behaviour and environmental variables in case descriptions
• planning and giving grounds for the choice of design and implementing changes in his/her own behaviour

Competence

The student:

• is capable of describing the principles of internal control and quality assurance
• has insight into the statutory requirements that apply to documentation and record keeping

Students who complete the course are expected to have the following learning outcomes, defined as knowledge, skills and general competence:

Knowledge

On successful completion of the course, the student:

• has in-depth knowledge within specific topics in robotics and control that supplement the specialisation syllabus.
• is at the forefront of knowledge within the topic of his/her doctoral thesis project.
• has a profound understanding of the state-of-the-art and the latest developments in the field relevant to his/her doctoral thesis.

Skills

On successful completion of the course, the student can:

• apply theoretical knowledge, scientific methods and simulation tools suitable for solving complex robotics and control problems.
• plan and conduct scholarly work within the topic of his/her the doctoral thesis project.
• analyse existing theories, methods and standardised solutions on practical and theoretical engineering problems.

General competence

On successful completion of the course, the student:

• is competent in literature study, self-study and research-based learning
• can apply his/her knowledge and skills to carrying out advanced tasks and projects.
• can communicate issues, analyses and solutions to both specialists and non-specialists.
• can assess the need for, and initiate innovation in his/her field of expertise.

The course includes lectures, self-study, supervised group work, as well as assignments based on case descriptions.

The following required coursework must be approved before a student can receive a final assessment:

• presentation of a case analysis in a group
• presentation of a proposal for a goal setting and training plain
• presentation of a case analysis and a goal setting and teaching plan in a plenary session, group presentations
• individual presentation of a self-change project in small groups

The exam consists of individual assignment (report), and an oral seminar and examination (30 minutes per student), of which both must be passed in order to pass the course.

The oral examination cannot be appealed.

All

A grade scale with grades from A to E for pass and F for fail is used.