EPN-V2

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
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