Programplaner og emneplaner - Student
PPUHPRA3 Teaching practice, 3rd period Course description
- Course name in Norwegian
- 3. praksisperiode
- Study programme
-
Postgraduate Certificate in Education
- Weight
- 0.0 ECTS
- Year of study
- 2025/2026
- Programme description
- Course history
-
Introduction
Se mer utfyllende informasjon om praksis i programplanen og i praksisguiden for PPU-Y
Learning outcomes
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.
Content
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.
Teaching and learning methods
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.
Course requirements
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.
Assessment
All aids are permitted.
Permitted exam materials and equipment
Grade scale A-F.
Grading scale
Two internal examiners. External examiner is used periodically.
Examiners
Ola Huse Ramstad