{"slug": "teaching-machine-learning-to-software-engineers", "title": "Teaching Machine Learning to Software Engineers", "summary": "A new study proposes integrating AI and machine learning topics into undergraduate software engineering curricula, identifying coverage gaps and surveying instructors to recommend where high-priority topics can be embedded in existing courses.", "body_md": "# Computer Science > Software Engineering\n\n[Submitted on 12 Jun 2026]\n\n# Title:Teaching Machine Learning to Software Engineers\n\n[View PDF](/pdf/2606.14618)\n\n[HTML (experimental)](https://arxiv.org/html/2606.14618v1)\n\nAbstract:Machine learning (ML) and Artificial Intelligence (AI) components are increasingly embedded in software products, yet undergraduate software engineering (SE) curricula rarely provide systematic preparation for building, testing, deploying, and maintaining AI/ML-based software systems. This paper aims to provide evidence-based guidance for integrating AI/MLrelevant content into core SE education. We compile and define a structured inventory of topics relevant to SE practice in AI/MLbased software, then map these topics against required courses in a set of representative SE curricula to identify coverage gaps. To assess educational priorities and feasibility, we survey SE instructors on topic importance and integration constraints. Based on the crosswalk between topic definitions, curriculum coverage, and instructor prioritization, we derive a guideline that recommends where and how high-priority topics can be embedded within existing SE courses.\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/teaching-machine-learning-to-software-engineers", "canonical_source": "https://arxiv.org/abs/2606.14618", "published_at": "2026-06-15 03:29:09+00:00", "updated_at": "2026-06-15 03:41:36.360840+00:00", "lang": "en", "topics": ["machine-learning"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/teaching-machine-learning-to-software-engineers", "markdown": "https://wpnews.pro/news/teaching-machine-learning-to-software-engineers.md", "text": "https://wpnews.pro/news/teaching-machine-learning-to-software-engineers.txt", "jsonld": "https://wpnews.pro/news/teaching-machine-learning-to-software-engineers.jsonld"}}