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@@ -14,8 +14,8 @@ A list of datasets used in this area can be found at the appendix of the
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[survey](https://arxiv.org/abs/1709.06182) and at [learnbigcode.github.io](http://learnbigcode.github.io/datasets/).
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### Courses
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A few university courses are been taught covering aspects of machine learning for code, big code or naturalnness of code. Below there are a few that have publicly available material.
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*[Analyzing Software using Deep Learning](http://software-lab.org/teaching/summer2020/asdl/) in T.U. Darmstadt[[videos](https://www.youtube.com/playlist?list=PLBmY8PAxzwIHIKq4tYLws25KqGvUM4iFD)]
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A few university courses are been taught covering aspects of machine learning for code, big code or naturalness of code. Below there are a few that have publicly available material.
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*[Analyzing Software using Deep Learning](http://software-lab.org/teaching/summer2020/asdl/) in University of Stuttgart[[videos](https://www.youtube.com/playlist?list=PLBmY8PAxzwIHIKq4tYLws25KqGvUM4iFD)]
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*[Seminars on Applications of Deep Learning in Software Engineering and Programming Languages](https://sites.google.com/view/mlplse-sp18/) in U.C. Berkeley
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*[Machine learning for programming](https://www.cl.cam.ac.uk/teaching/1920/P252/) in the University of Cambridge, UK
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*[Deep Learning for Symbolic Reasoning](http://tiarkrompf.github.io/cs590/2018/) in Purdue University
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### Courses on Important Relevant Background
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*[Sofware Analysis](http://rightingcode.org/) at Univ. of Pennsylvania. It is a great introduction to Program Analysis [[videos](https://www.youtube.com/playlist?list=PLF3-CvSRq2SaApl3Lnu6Tu_ecsBr94543)]
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*[Program Analysis](https://software-lab.org/teaching/winter2020/pa/) at University of Stuttgart [[videos](https://www.youtube.com/playlist?list=PLBmY8PAxzwIEGtnJiucyGAnwWpxACE633)]
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*[Applications of Data Science for Software Engineering 2020](https://www.youtube.com/watch?v=34hcH7Js41I&list=PLmAXH4O57P5_0IflYjLIg8l0IupZPbdlY) at Eindhoven University of Technology.
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