ACIT4040 Applied Artificial Intelligence Project Emneplan

A real artificial intelligence project will be carried by a large team of students. A practical application will be targeted using state-of-the-art methods and tools. The students will construct a working system from scratch, implementing machine learning components as well as using existing tools. The students are involved in the entire process, starting from earlier design choices to the AI system completion. Examples of tasks may include speech processing and image recognition, robots or drones navigation, self-driving vehicles, and chatbots.

Through this course, the students will gain an in-depth understanding of "AI in practice", as opposed to "AI in theory" or "AI on toy problems".

An individually written survey paper on a selected topic related to the course. The paper should be 10 pages in length following the ACM SIG format.

The exam can be appealed.

For students who only want to attend the course, no written coursework is required.

No formal requirements over and above the admission requirements.

Upon successful completion of the course:

Knowledge

The student:

• understands why, when and how to use AI methods in realistic problems that they may encounter in their technical careers
• knows how to produce the necessary technical documentation
• understands how to manage a project in its expertise domain

Skills

The student can:

• work in a large group with a vaguely defined problem statement
• assess different frameworks and tools for artificial intelligence in given contexts
• build systems that realise aspects of intelligent behaviour
• take part in the design and implemention of a relatively large AI project
• debug AI applications and correct bugs at a system level (integration)

General competence

The students can: 

• work in a project within their specific expertise area
• make decisions based on limited information
• tolerate previous decisions when they turn out to be suboptimal and can evaluate them when better information becomes available

The project work will be carried out in groups of a size suited for the assignment and focused around the relevant laboratories at OsloMet. The groups are relatively large, with 5-10 students.

The following required coursework must be approved before the student can take the exam:

• Minimum 80% attendance in workshops
• A group midterm presentation

Group Project Report (5-10 students) between 10000 and 25000 words. 

The exam grade can be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

None.

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

Knowledge:

On successful completion of the course, the student:

• knows the most influential channels where universal design research of digital systems is communicated.
• knows the historically most influential research works and the most important contemporary works and problems areas within universal design and accessibility, including the local research group's own research discourse.
• understand the role of universal design and accessibility in the bigger picture of digital engineering.
• has in-depth knowledge of important stakeholders nationally and internationally related to universal design and accessibility, including special interest organisations.
• has in-depth knowledge of various national and international legislature, regulations, recommendations and standards related to universal design of accessible computer systems.
• has in-depth knowledge of key research methods used in universal design of accessible computer systems.

Skills:

On successful completion of the course, the student can:

• discuss issues related to universal design, accessibility and vulnerable groups using non-discriminatory and inclusive language.
• plan, lead and manage research projects related to universal design of accessible digital systems.
• take responsibility for the universal design of ICT aspect in interdisciplinary and multidisciplinary research projects.
• ensure that a research project adheres to the highest standards in terms of ethics, protecting vulnerable participants, adequate provisions of consent and adhering to formal requirements for storing information about participants.
• challenge the existing knowledge and practices in the chosen specialisation area of engineering, design or art.

General competence:

On successful completion of the course, the student can:

• conduct ethical and scientific research of high international standard
• communicate and collaborate with experts from other disciplines on larger interdisciplinary and multidisciplinary research projects.
• Recognise and assess a project's potential for innovation and its likely impact on society.
• participate in debates and communicate results through recognised international channels, such as academic conferences.

The course will take the form of a series of seminars where the students actively participate in the Universal Design of ICT research group meetings, in which current and state-of-the-art research is discussed. The students will learn by doing in a real-world research setting with a group of established and respected researchers. The students will present their own papers and listen to those of other students and staff. The students will also actively critique and challenge the other participants. The students are provided with a sound foundation in research skills and naturally integrated into the local research community and its research discourse.

The following required coursework must be approved before the student can take the exam:

• Three individual oral presentations of assigned publications.
• Participate as prepared discussant for three presentations by other group members.
• Independently find and study publications relevant to the research discourse.
• Minimum 80% attendance at research group meetings during the course.