Programplaner og emneplaner - Student
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
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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