Programplaner og emneplaner - Student
PPUHPRA2 Teaching practice, 2nd period Course description
- Course name in Norwegian
- 2. praksisperiode
- Study programme
-
Postgraduate Certificate in Education
- Weight
- 0.0 ECTS
- Year of study
- 2022/2023
- Curriculum
-
FALL 2022
- Schedule
- Programme description
- Course history
-
Introduction
Oral examination, individual.
The exam cannot be appealed.
Learning outcomes
None.
Content
Se mer utfyllende informasjon om praksis i programplanen og i praksisguiden for PPU-Y
Teaching and learning methods
Pass or fail.
Course requirements
Two internal examiners. External examiner is used periodically.
Assessment
Basic background in statistics or probability theory. Knowledge of a programming language.
Permitted exam materials and equipment
The course is structured in five modules:
- Module 1: Unsupervised Data Mining
- Module 2: Supervised Machine Learning
- Module 3: Reinforcement Learning
- Module 4: Artificial Neural Network and Deep Learning
- Module 5: Major Concepts in Artificial Intelligence, including: complex systems (networks, cellular automata, and agent-based models) and evolutionary computing
Grading scale
Bestått/ikke bestått
Examiners
Se mer utfyllende informasjon om praksis i programplanen og i praksisguiden for PPU-Y