EPN-V2

ACIT4040 Applied Artificial Intelligence Project Course description

Course name in Norwegian
Applied Artificial Intelligence Project
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2022/2023
Curriculum
FALL 2022
Schedule
Programme description
Course history

Introduction

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".

Recommended preliminary courses

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.

Required preliminary courses

No formal requirements over and above the admission requirements.

Learning outcomes

Se mer utfyllende informasjon om praksis i programplanen og i praksisguiden for PPU-Y

Content

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.

Teaching and learning methods

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 5-20 students.

Course requirements

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

  • Minimum 80% attendance in workshops
  • A final group (5-20 students) presentation.

Assessment

Project report in groups (between 10000 and 25000 words) (100%)

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 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.

Permitted exam materials and equipment

All aids are permitted.

Grading scale

Grade scale A-F.

Examiners

Two internal examiners. External examiner is used periodically. 

Course contact person

Ola Huse Ramstad