ACIT4510 Statistical Learning Course description

No formal requirements over and above the admission requirements.

The participants are expected to know linear algebra, basic functional analysis, and basic concepts in probability theory.

A student who has completed this course should have the following learning outcomes, defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student has:

• advanced knowledge of cultural differences and dimensions related to artificial intelligence, data privacy, data security, information security, cybersecurity, and universal design
• advanced knowledge of how the world changes constantly and how these changes can develop new methodologies for exploring, understanding, and analyzing cultural differences and dimensions
• advanced knowledge of technology, best practices and development processes for information and communications technology (ICT) solutions
• advanced knowledge of analysing the cultural conditions and perspectives that lead to communication gaps and digital divides.

Skills

On successful completion of this course the student can:

• carry out necessary analysis and testing across cultures
• design culturally neutral prototypes
• use knowledge of different cultures and group dynamics to communicate, collaborate and resolve conflicts, now and in the future
• act objectively when carrying out evaluations and have knowledge about their own impact on processes and results.

General competence

On successful completion of this course the student can:

• analyse and understand academic, professional and ethical issues related to accessibility in diverse cultures
• apply knowledge and skills in artificial intelligence, data privacy, data security, information security, cybersecurity and universal design of information and communications technology (ICT) to solve accessibility challenges in diverse cultures
• provide comprehensive independent study and master expressions and terms in the field
• contribute to cross-cultural collaboration, new thinking, knowledge-sharing and innovation processes.

The course is organized as a series of lectures, seminars and guest lectures that cover the main theories.

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

• Two presentations in groups of up to three students, and participate as a discussant in all the other group presentations
• A project report plan (either in groups or individually) must be approved before the project starts. Students will receive feedback during the planning stage of the project. The students carry out projects according to the approved project plan.

The project report counts 100% of the final grade. The project report must have the following extent:

• 6 000 words (+/-20%) if one writes alone
• 9 000 words (+/-20%) if two collaborate
• 12 000 words (+/-20%) if three collaborate

More than three students cannot write together. Further guidelines will be given when the course starts. The exams 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.

An individual project report approximately 2500 - 5000 words, excluding appendixes.

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 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.

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

Grade scale A-F.

Assistant Professor Nuno Marques

Professor Pedro Lind