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	Lectures	Timetable submit@noon
This is a project-based class where students will use any scripting language they like to build and extend their own AI tools for software engineering. 500-level students will work in groups of 3; 700-level students will work in groups of 1. Here, we discuss how “AI” is different for SE: The data sets are different (far more repetitive structures, far more unlabelled data, far more variance in the labels); The problems explored are different (e.g. software configuration, software project estimation). The goals are different (more managerial level, more uncertainty management, more emphasis on explainability and repeatability). The methods are different (more emphasis on the scripting and continuous development and operations). The results are different (many domains are controllable via surprisingly small theories). Hence the experimental and statistical methods are different. Topics: Management of AI software projects. AI,SE and ethics. AI methods as they relate to SE: explainable AI; classification, clustering, multi-objective optimization (for non-continuous models); semi-supervised learning, theorem proving, generative methods. Experimental methods for SE and AI: statistics, experimental rigs, visualizations. AI application areas in SE: current methods, statistical methods, latest results in areas such as software configuration, defect prediction, effort estimation, project planning, Github issue close time prediction, bad smell prediction, cloud compute management, bad smell detection, static code warning detection, etc.	Jan09 : AI+SE=Ez Jan11 : Choice Jan16 : Bayes+Nums Jan23 : Management Jan30 : Landscape #1 Feb01 : Landscape #2 Feb06 :  no class Feb08 : Stats Feb13 : no class Feb15 : Xplan1;Xplan2; Ranges; Rules Feb20 :  Feb22 :  Feb27 :  Feb29 :  Mar05 : Enough; Mar07 :  Mar12 :  break Mar14 :  break Mar19 :  Mar21 : Other.optimizers; Mar26 : Mutate+Inference; Mar28 : Few-shot; Apr02 : Theorem provers; Apr04 :  Apr09 :  Apr11 :  Apr16 :  Apr18 :  Apr23 : no class May3 : Grades posted	Jan16 : Hw2 Jan23 : Hw3 Jan30 : Hw4 Feb06 : Hw5 Feb13 :  wellness day Feb27 : Hw6 Mar05 : Hw7 Mar12 :  break Mar19 :  midterm Mar26 :  Hw8 Apr02 :  Hw9 Apr09 :  - Apr16 :  - Apr22 :  monday, Project;details May3 :  grades posted