Best Practice - Machine Learning for Ship Autonomy

The course is given during two weeks, and is organized with lectures on background topics and an introduction of case studies. The case study will then be solved individually or in groups and documented in a project report. The total workload for the course is expected to be 2 weeks including independent research and literature survey supporting the project work. Grading will be based on the project report, and will assess the candidate(s) ability to interpret, familiarize, reflect and apply the course topics. Mandatory assignments: Mandatory exercises must be approved before admission to the examination.