Teaching 

University Courses

• STA-2003 Time Series - [Lecture notes]

• STA-2004 Statistical methods

• STA-3300 Applied Statistics 2

• STA-8300 Applied Multiple Regression and ANOVA

• STA-3810/8810 (special curriculum 2023) Clustering with deep learning: recent advances

• STA-3810/8810 (special curriculum 2020) Probabilistic forecasting with deep learning and application to energy analytics

Special Lectures and Tutorials

• Explainability in GNNs [Link]

• Diffusion models tutorial [Link]

• Physics Informed Neural Networks tutorial. [Link]

• Introduction to Graph Machine Learning. [Link]

• Recent advances and future directions in graph neural networks. [PDF]

• Learning compressed representations for multivariate time series with missing data. [PDF]

• Labeled Graphs and Clustering on Unstructured Data. [PDF]

• Introduction to Graph Neural Networks. [PDF]

• An introduction to reservoir computing and application to time series classification. [PDF]

• Introduction to Recurrent Neural Networks. [PDF]

• Tutorial on Echo State Networks for time series analysis. [PDF]

Available topics for a master thesis 

The list of available topics for a master's thesis is here.

Students must have taken at least one course in machine learning and in deep learning and be experienced in Python programming.

Former master students

• Sofie Svenøe. June 2023
  UiT the Arctic University of Norway, Department of Physics and Technology.
  Mater's thesis in applied physics and mathematics.
  Thesis title: "Probabilistic Wind Power Forecasting with Deep Neural Sequence Models". [Link]

• Leander Kirkeland.  December 2022
  UiT the Arctic University of Norway, Department of Physics and Technology.
  Mater's thesis in applied physics and mathematics.
  Thesis title: "Machine learning approach for identification and tracking of coherent structures in turbulent fluids and plasmas". [Link]

• Petter Støtvig. June 2022
  UiT the Arctic University of Norway, Department of Mathematics and Statistics.
  Master’s thesis in statistics.
  Thesis title: "Probabilistic Wind Power and Electricity Load Forecasting with Echo State Networks". [Link]

• Julie Therese Svane. June 2022
  UiT the Arctic University of Norway, Department of Physics and Technology.
  Master’s thesis in applied physics and mathematics.
  Thesis title: "Wind power forecasting as input to day-ahead trading strategies for wind in complex terrain". [Link]

• Iver Martinsen. December 2021
  UiT the Arctic University of Norway, Department of Mathematics and Statistics.
  Master’s thesis in statistics.
  Thesis title: "Deep learning applied to fish otolith images". [Link]

• Vilde Jensen. June 2021
  UiT the Arctic University of Norway, Department of Physics and Technology.
  Master’s thesis in applied physics and mathematics.
  Thesis title: "Probabilistic Load Forecasting with Deep Conformalized Quantile Regression". [Link]

• Jonas Berg Hansen (best master thesis award). June 2021
  UiT the Arctic University of Norway, Department of Mathematics and Statistics.
  Master’s thesis in statistics.
  Thesis title: "Power Flow Optimization with Graph Neural Networks". [Link]

• Changkyu Choi. January 2018
  May 2018. UiT the Arctic University of Norway, Department of Physics and Technology.
  Master’s thesis in applied physics and mathematics.
  Thesis title: "Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data". [Link]

• Tobias Olsen Foslid. January 2016
  May 2017. UiT the Arctic University of Norway, Department of Mathematics and Statistics.
  Master’s thesis in applied physics and mathematics.
  Thesis title: "Dirichlet process cluster kernel ". [Link]

• Thomas A. Haugland Johansen. January 2016
  December 2016. UiT the Arctic University of Norway, Department of Physics and Technology.
  Master’s thesis in applied physics and mathematics.
  Thesis title: "On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs". [Link]

• Andrea Timpone. June 2015.
  Università La Sapienza, Department of Information Engineering, Electronics, and Telecommunications.
  Master’s thesis in Information Engineering.
  Thesis title: "Multi-agent, evolutionary-based, clustering system for data mining and knowledge discovery".

• Gabriele Medeot.  May 2015.
  Università La Sapienza, Department of Information Engineering, Electronics, and Telecommunications.
  Master’s thesis in Information Engineering.
  Thesis title: "On the application and comparison of graph matching techniques in real-world applications".

• William De Vitis. June 2013.
  Università La Sapienza, Department of Information Engineering, Electronics, and Telecommunications.
  Master’s thesis in Information Engineering.
  Thesis title: "Classification of images represented through labeled graphs and automatic identification of the characterizing semantic features".