Coronavirus in Norway
Our campuses are open. Please read updated information for students and staff on our website.
Coronavirus in Norway
Our campuses are open. Please read updated information for students and staff on our website.
This course covers advanced topics in artificial intelligence and machine learning, both theory and practice, recent scientific papers and state-of-the-art techniques.The course will be offered once a year, provided 3 or more students sign up for the course. If less than 3 students sign up for a course, the course will be cancelled for that year.
Basic background in statistics or probability theory. Knowledge of a programming language.
Students who complete the course are expected to have the following learning outcomes, defined in terms of knowledge, skills and general competence:
Knowledge
On successful completion of the course, the student has:
Skills
On successful completion of the course, the student can:
General competence
On successful completion of the course, the student can:
The course is structured in five modules:
Each module will be taught in a series of lectures. At the end of each module, the students will be assigned a small project to be submitted within a given deadline.
The following required coursework must be approved before the student can take the exam:
Compulsory assignments must be approved prior to the exam. The students must submit a small project at the end of each module. All five projects must be approved before examination.
Oral examination, individual.
The exam cannot be appealed.
None.
Pass or fail.
Two internal examiners. External examiner is used periodically.