Formal NTNU course description: https://www.ntnu.edu/studies/courses/MA8701#tab=omEmnet
This is a phd course in statistics - and requires active participation. Teaching activities are physical, except some of the Part 4 activities.
Course coordinator and lecturer: Mette Langaas
Lecturer: Kjersti Aas (Part 4) on explainable AI/interpretable machine learning
Scheduled teaching:
Course parts:
Evaluation
The grade for this course is pass/fail evaluated with an individual oral exam.
To attend the exam you need to have done the following activities - all in groups (size 2-3):
Course prerequisites:
Helpful knowledge
Programming/IT-knowledge
First meeting Friday 27.01 12.15, second meeting 20.03 12.15, last meeting 25.05 kl 10.15. Minutes from the meeting uploaded at Blackboard.