Swedish name: Trender inom interaktiva intelligenta miljöer
This syllabus is valid: 2019-01-07 and until further notice
Syllabus for courses starting after 2019-01-07
Course code: 5DV196
Credit points: 7.5
Education level: Second cycle
Main Field of Study and progress level:
Computing Science: Second cycle, has second-cycle course/s as entry requirements
Grading scale: TH teknisk betygsskala
Responsible department: Department of Computing Science
Revised by: Faculty Board of Science and Technology, 2021-01-13
The course is divided into two modules:
The theoretical module covers methods and theories in Artificial Intelligence (AI) and Human-Computer Interaction (HCI) for designing and constructing intelligent interactive systems and environments. Parts of the theoretical part are applied in the practical part, which consists mainly of a project that is conducted individually or in group.
Emergent trends in AI aim to combine different fundamental theories and methods within the AI field and across disciplines such as cognitive science and social science to solve societal challenges, and to build new more advanced AI. This course focuses on such trends in interactive intelligent environments that include people and AI-based systems, and where intelligent systems and people pursuing different goals are expected to collaborate. This advanced level course takes a research perspective on theories and methods for interactive intelligent environments, which is done from the perspective of solving societal challenges.
The student will deepen her/his knowledge about AI topics such as knowledge representation and reasoning, machine learning, natural language processing, multiagent systems and agent societies, computational social norms, ethical AI, and gain knowledge in how these methods and theories can be combined to achieve AI useful for human-AI collaboration in interactive intelligent environments. Moreover, the student will also gain knowledge about theories about human activity that provide frameworks for human-AI collaboration, user modelling, user adaptation and personalisation in e.g., persuasive technology, decision-support systems and digital assistants.
The student is encouraged to engage with a research group during the course, and target particular challenging and unsolved issues relating to interactive intelligent environments.
Knowledge and understanding
After having completed the course the student should be able to:
Skills and abilities
After having completed the course the student should be able to:
Values and attitudes
After having completed the course the student should be able to:
Univ: To be admitted you must have (or equivalent) 90 ECTS-credits including 60 ECTS-credits in Computing Science or two years of completed studies within a study programme (120 ECTS-credits). In both cases, includning the course Design of interactive intelligent environments (5DV195).
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.
The course consists of lectures, project work in computer labs and other environments, and exercises in small groups. In addition to scheduled activities the course also requires individual work with the material.
Examination of the module "MOM1 Theory and methodology" (Learning objectives 1-3) is done through a written examination in halls. The grade on this module is one of the grades Fail (U), Pass (3) or Pass with Merit (4), or Pass with Distinction (5). For all students who do not pass the regular examination there is another opportunity to do the examination.
The examination of the module "MOM2 Practical application of theory and methods in a project" (Learning objectives 3-7) is done through completing a project in-group or individually according to instructions provided during the course. Parts of the project work may be done through field studies outside the university in collaboration with societal organisations, and meetings during the project can be located at such organisation. The grade on the practical module is one of the grades Fail (U) or Pass (G).
A student that has failed the practical module of the course but has regularly attended a majority of the project activities can be given a re-exam covering the parts that the student has missed. If a student has not participated in the project activities (or missed a majority of them), the student can enroll in the practical part next time the course is given. The student does not have the right to continue with the same project the next time (s)he attend the course, and may need to start over with the project work in collaboration with a new student group and with a new topic.
On the whole course one of the grades Fail (U), Pass (3) or Pass with Merit (4), or Pass with Distinction (5) is given. The grade is set when all obligatory parts have reached the grade Pass and is decided by the grade on Module 1.
A student who has passed an examination may not be re-examined. A student who has taken two tests for a course or segment 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). Requests for new examiners are 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 ceased to be valid.
Deviations from the examination forms mentioned in this syllabus can be made for a student who has a decision on pedagogical support due to disability. Individual adaptation of the examination forms should be considered based on the student's needs. The examination form is adapted within the framework of the expected learning outcomes of the course syllabus. At the request of the student, the course responsible teacher, in consultation with the examiner, must promptly decide on the adapted examination form. The decision must then be communicated to the student.
Transfer of credits
Students have the right to be tried on prior education or equivalent knowledge and skills acquired in the profession can be credited for the same education at Umeå University. Application for credit 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.
This course may not be used towards a degree, in whole or in part, togehter with another course of similar content. If in
doubt, consult the student counselors at the Department of Computing Science and / or the program director of your
program.
Course connections to programmes and degrees
The course can be part of the fulfilment of 60 credits on advanced level within Robotics and Control when pursuing the specialization in Robotics and Control within a degree of Master of Science (Two Years) with Computing Science as Main Field of Study.
The literature list is not available through the web. Please contact the faculty.