ACIT4040 Applied Artificial Intelligence Project Course description

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".

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

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

Grade scale A - F

The course introduces students to the topics of effectives structure and style in engineering communication. Special emphasis is given to the differences between correct grammar and stylistic choices. Close attention is paid to the kinds of linguistic choices writers need to learn to make in order to create effective, actionable, readable, and ethical texts.

This course is designed and run in collaboration with Louisiana Technology University.

No formal requirements over and above the admission requirements.

Knowledge

On successful completion of this course the student has:

• understanding of the difference between grammar and style, particularly between the prescriptive nature of the former and the selective nature of the latter.

• knowledge of typical structures of engineering genres and texts
• knowledge of typical stylistic features of engineering genres and texts
• strategies for making decisions about style and readability while designing technical texts.

Skills

On successful completion of this course the student can:

• effectively structure specialized engineering texts to meet their purposes and reach their intended audiences
• effectively select and use elements of appropriate writing style in engineering texts
• consciously use stylistics feature and choices for readability, ethics, and actionability of texts

General competence

On successful completion of this course the student can:

• demonstrate awareness and understanding of the role of writing style and style-related decisions in creating effective texts and in effective communication

• develop a broader understanding of the limited importance of grammar and other mechanics for effectiveness of writing.

This course is run in collaboration with Louisiana Technology University. During the 2024-2025 academic year, the course will be offered online (digitally). The majority of the instruction will take place asynchronously (in Canvas), with periodic 1-hour long synchronous meetings, in Zoom or Teams.

In line with best teaching practices from the field of professional communication, the following teaching methods will be used (listed here in order of priority and frequency of use):

• Active learning and flipped classroom methods
• Peer review and peer-learning

• Short lectures and presentations by instructor(s), followed by discussions and informal assessments

The role of the teacher is to be a facilitator and an expert-coordinator of course work, who guides the students through the content of the course.

Grade scale A-F.

Individual written report of between 1800 and 2200 words.

The exam 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 applying 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.