Main Field of Study and progress level:
Computing Science: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: TH teknisk betygsskala
Responsible department: Department of Computing Science
Established by: Faculty Board of Science and Technology, 2017-03-06
Revised by: Faculty Board of Science and Technology, 2017-10-02
Contents
The course is about physical robots used in applications with close interaction between robots and humans. The focus is on design considerations, software development, and evaluation of such applications.
The course is divided into a theoretical part (Part 1: Theory, 4.5 hp) and a practical part (Part 2: Practice, 3 credits). The theoretical part deals with current issues, established practices, and methods used to design, construct, and evaluate systems of interacting robots and humans. The theoretical part also provides exercises in applying this knowledge. Examples of concepts that are typically included in this part is autonomy, user-centered design, embodiment, anthropomorphism, emotions, design patterns, proxemics, deictic gestures, and natural language processing.
The practical part runs in parallel with the theoretical one, and mainly consists of project work in groups. Theories, methods and techniques from the theoretical part are applied in order to design and develop software for robots that interact with humans. Practical work with the evaluation of such robots are also included.
Expected learning outcomes
Knowledge and understanding After having completed the course the student will be able to:
Illustrate and describe how interacting robots are used and can be used for different purposes in different contexts in society (FSR1),
crticially ddiscuss advantages and disadvantages with robots within some current application areas (FSR2),
describe how the interaction between robot and human is influenced by design aspects such as the degree of autonomy, the design of social perception, embodiment, and anthropomorphism (FSR3),
describe relevant relationships between the field of human-robot interaction, and other academic areas (FSR4)
describe methods for evaluation of systems of robots and humans (FSR5), and
show an understanding of (by critically discussing) technical solutions for specific types of interaction between robots and humans (FSR6).
Skills and abilities After having completed the course the student will have practical skills in:
how to use systems of interacting robots and humans (FSR7)
how to develop software for systems of interacting robots and humans (FSR8), and
how to evaluate the system of interacting robots and humans (FSR9).
Values and attitudes After having completed the course the student should be able to:
demonstrate an understanding of (by critically discussing) the need to consider technical, personal, safety, ethical, and societal demands and requirements for work with, and evaluation of, own and others' research, design, and development work within the area human-robot interaction (FSR10).
Required Knowledge
To be admitted you must have 60 ECTS in Computing Science or 2 years of completed studies (120 ECTS), in both cases includning a course in Artficial intelligence (at least 7.5 ECTS), e.g. Foundations of Artificial Intelligence or equivalent.
Proficiency in English equivalent to Swedish upper Secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
Form of instruction
The course consists of lectures, work in smaller groups, student presentations, and project work in the computer lab and other environments. In addition to scheduled activities, the course also requires individual work with the material.
Examination modes
The examination of the theoretical part (FSR 1-6, 10) is done with a written exam in halls. This part is graded with Fail (U), Pass (3) or Pass with Mark (4), or Pass with Distinction (5). Students who do not pass the regular examination are given additional opportunities at re-examination.
Examination of the practical part (FSR 7-9) is done by written and oral group presentations of the conducted project work. The practical part is graded with Fail (U) or Pass (G).
Students who do not pass the practical part, but participated in most of the activities can be given a second chance with the missing activities. If a student has not participated in the activities, or missed a significant portion of these, the student can participate in the practical part the next time the course is given. The student then does the practical part in its entirety, and has no automatic right to reuse previously approved sub-parts.
On the course as a whole, the grades given are Fail (U), Pass (3), Pass with Mark (4), or Pass with Distinction (5). In order to pass the course in its entirety, all mandatory parts must be passed. The final grade of the course is the same as the grade of the theory part and is decided only after all parts are passed.
A student who has passed an examination may not be re-examined in order to get a higher grade. A student who has taken two tests for a course or part of a course, without passing, has the right to have another examiner appointed, unless there exist special reasons (Higher Education Ordinance Chapter 6, section 22). Request for a new examiner is made to the head of the Department of Computing Science.
Examination based on this syllabus is guaranteed for two years after the first registration on the course. This applies even if the course is closed down and this syllabus has ceased to be valid.
TRANSFER OF CREDITS Students have the right to be tried if prior education or equivalent knowledge and skills acquired in the profession can be credited for the same education at Umeå University. Application for transfer of credits is submitted to the Student Services / Degree. For more information on credit transfer available at Umeå University's student web, www.student.umu.se, and the Higher Education Ordinance (Chapter 6). A refusal of crediting can be appealed (Higher Education chapter 12) to the University Appeals Board. This applies to the whole as part of the application for credit transfer is rejected.
Other regulations
In an exam, this course may not be included, in whole or in part, simultaneously with another course of similar content. If in doubt, consult the student counselors at the Department of Computer Science and / or program director of the study program.
Literature
The literature list is not available through the web.
Please contact the faculty.
