I plan to maintain this tutorial until at least 2028. As such I welcome corrections and suggestions.

• The tutorial in PowerPoint is here (this is a unfinished draft, but you are welcome to preview it)
  
• The tutorial in PDF is here. Note that handful of animations in the PowerPoint will not work in PDF.
• The datasets used in the tutorial are here.
  

• An explanation as to why most time series anomaly detection research is wrong [PDF, PowerPoint], with a review of the most commonly used datasets.
• Three two-minite videos to support "most time series anomaly detection research is wrong"
• Why Most Time Series Anomaly Detection Results are Meaningless, assuming precise duration of labels can be known.
• Why Most Time Series Anomaly Detection Results are Meaningless, assuming labels are correct.
• Why Most Time Series Anomaly Detection Results are Meaningless, overcounting successes.

• A 30-minute talk on Irrational Exuberance Why we should not believe 95% of papers on Time Series Anomaly Detection.
  
• A tutorial on DTW (with Mueen) is here.
  
• A tutorial on the Matrix Profile (with Mueen) is here, Part1 and Part2.
• A short video gallery of interesting time series anomalies
• A short video gallery of interesting time series motifs
• The Matrix Profile Webpage