PENG9590 Advanced Topics in Robotics and Control Emneplan

One internal examiner. External examiners are used regularly.

The course has an overlap of 10 credits with MAPE2000, KJPE2000, EMPE2000 and BYPE2000. This course overlaps 5 credits with DAPE2000 and ELTS2000. Under the rule that students have three attempts to take an exam, attempts in equivalent courses also count.

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 is carried out by research-based learning and a major study based on individual work, and is supervised by one or more supervisors (internal/external).

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.

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 is carried out by research-based learning and a major study based on individual work, and is supervised by one or more supervisors (internal/external).

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.