ACIT4200 Interdisciplinary Innovation and Complex Problems Emneplan

Two internal examiners. External examiner is used periodically. The exam grade can be appealed. 

Pavel Zemliensky 

It is highly recommended that the student has taken the courses Advanced Machine Learning and Deep Learning and/or Evolutionary AI and robotics. It is also recommended to have;good programming skills, such as 20 ECTS of previous programming-focused subjects.

Introduction to modern methods, techniques and tools used in projects related to the course assignment. Lectures and tutorials will be given on the tools, laboratories and facilities available at OsloMet, and their use in relation to the given assignment text, specifications, design, verification, prototyping and development. A realistic project will then be carried out where participants work together as an "applied artificial intelligence development team".

The project involves the full process from specifications, programming, testing, verification and documentation.

The following required coursework must be approved before the student can hand in the exam (Project artifact):

• 1 group exercise
• 1 individual exercise

A project artefact made in groups of approximately;5 students. Details of the artefact will be made available on Canvas.

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.

All aids are permitted.

Grade scale A-F.

Two internal examiners. External examiner is used periodically

Associate Professor Dr. Anthony Giannoumis