Advanced Statistical Machine Learning


Content, progress and pedagogy of the module

Disclaimer. This is an English translation of the module. In case of discrepancy between the translation and the Danish version, the Danish version of the module is valid.

Learning objectives


After having completed the module the student will have gained knowledge about selected topics within advanced machine learning. The list of topics may include, but is not limited to, the topics below. The specific curriculum will cover three to five topics. The students will be informed about the specific topics by the beginning of the course:

  • Deep neural networks, including convolutional networks and recurrent networks 

  • Support vector machines and kernels 

  • Gaussian processes 

  • Inference methods for probabilistic models, including variational inference and Markov chain Monte Carlo (MCMC). 

  • Latent variable models, including topic models


After having completed the module, the student should be able to 

  • explain and discuss the principles behind the machine learning models and algorithms presented in the course. 

  • explain and reason about key advanced machine learning topics using correct terminology and notation from the research field. 

  • apply and evaluate advanced machine learning algorithms and models for a particular problem.


After having completed the module, the student should be able to 

  • analyze and evaluate the use of advanced machine learning techniques for solving a particular machine learning problem. 

  • evaluate and select an appropriate machine learning algorithm for a particular problem. 

  • relate and combine relevant topics from the course for solving a particular machine learning problem.



Name of examAdvanced Statistical Machine Learning
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleAvanceret statistisk maskinlæring
Module codeDSNDVK102
Module typeCourse
Duration1 semester
Language of instructionDanish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Data Science and Machine Learning
Study BoardStudy Board of Computer Science
DepartmentDepartment of Computer Science
FacultyThe Technical Faculty of IT and Design