Degree Project: Master of Science (two years) in Computing Science (specialization Robotics and control), 30 credits

Contents

The course includes a master's degree project in the main field of Computing Science with a specialization in Robotics and Control and is compulsory in the Master's Programme in Robotics and Control.

During the course, the student will develop their ability to specify, plan, accomplish, and present an individual project. The student should apply their knowledge from previous education in the project work and deepen their knowledge in at least one specific area of Computing Science. The work provides contact with research and development in the subject. The results are presented both orally and in writing.

Module 1. Independent work (28 ECTS)
The individual project work should be carried out within a research project at the university or within a development project in industry. The project work must consist of problem solving in a broad sense and lead to a deeper understanding of the subject. The project must not consist of only routine programming. The in-depth study should relate the student’s work to existing scientific results and be documented together with the rest of the project. The project is presented in a scientific report.

Module 2. Presentation (2 ECTS)
The project is presented orally in a public seminar with an opponent. The student should prepare and conduct an opposition of another student’s project.

Expected learning outcomes

Knowledge and understanding
After completing the course, the student should be able to:

• (FSR 1) demonstrate substantially deeper knowledge within the area of robotics

Skills and abilities
After completing the course, the student should be able to:

• (FSR 2) demonstrate an ability to critically, independently and creatively identify and formulate complex questions
• (FSR 3) demonstrate an ability to plan and use appropriate methods, carry out advanced tasks within specified limits
• (FSR 4) demonstrate an ability to participate in research and development and thereby contribute to the development of knowledge
• (FSR 5) demonstrate the ability to verbally and in writing, to present and discuss their conclusions and the knowledge and arguments behind them, in dialogue with scholars and masters in the field as well as lay people
• (FSR 6) communicate about the project in oral and written English
• (FSR 7) demonstrate an ability to critically and systematically integrate knowledge acquired in key quality courses during their studies and to seek, analyze, synthesize and critically review scientific literature that is relevant to the problem

Judgment and approach
After completing the course, the student should be able to:

• (FSR 8) demonstrate an ability to systematically and critically examine their own and others' work with regard to scientific, social and ethical aspects.

Required Knowledge

Eligibility requires admission to the Master’s Programme in Robotics and Control and courses within the programme encompassing at least 60 ECTS on the advanced levelwithin the area of Robotics and Control. At least 30 ECTS av the courses at the advanced level should be in the main area of Computing Science. The following courses are required: “Student Conference in Computing Science”, “Human-Centered Artificial Intelligence”, and either “Mobile Robotics” or “Artificial Intelligence - Methods and Applications”.

Form of instruction

Instruction consists of individual tutoring. A supervisor within the department appointed for each student, with whom regular contact is maintained. The student must manage the available tutoring resources responsibly. If the work is performed externally, then a second supervisor is appointed by the external partner. In addition to tutoring, the student shall independently identify, seek, evaluate and summarize information sources to provide a scientific background to the work. The student will independently plan and carry out work in a timely manner and present it both orally and in writing. The student must also review another project and provide both oral and written opposition to it.

Examination modes

Module 1, independent work, is assessed through the following compulsory components:

• A written project plan, and
• a written final report.

For a higher grade (VG) the following component is also required:

• Written partial reports (milestones).

The grade scale on this module is Fail (U), Pass (G) or Pass with Distinction (VG).

Module 2, presentation, is assessed through the following compulsory components:

• An oral presentation, and
• a written and oral opposition.

The grade scale of this module is Fail (U) or Pass (G).

The course uses the grade scale Fail (U), Pass (G) or Pass with Distinction (VG) and the course grade is determined by the grade on Module 1, independent work.

Adapted examination

For students who have a recommendation of support for students with disabilities the examiner may decide on individual adaption of examination modes set out in the course syllabus. Individual adaption of examination modes must always be considered based on the student's specific needs and the framework of the intended learning outcomes in the course syllabus. For more information, see Procedure for support for students with disabilities and Rules for grades and examination.

Other regulations

This course may not be included, in whole or in part, in a degree together with another course of similar content. In cases of uncertainty, students should consult a study counsellor at the Department of Computing Science and/or the programme coordinator of their programme.

Transitional provisions

If the syllabus has expired or the course has been discontinued, a student who at some point registered for the course is guaranteed at least three examinations (including the regular examination) according to this syllabus for a maximum period of two years from the syllabus expiring or the course being discontinued.